RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Defense System's, Advanced Weapons Division is looking for a Software Systems Engineer-Level 3/4, located in Northridge, CA. This role will be 100% on-site with no hybrid opportunities. A current government issued secret clearance is required to start. This person will support the Stand in Attack Weapon (SiAW) Program. As a member of the Software team, you'll work in a fast-paced environment as the go between for the Software Engineering functional group and the Systems Engineering functional group. Candidate should possess Systems Engineering discipline knowledge with strong embedded software familiarity. Candidate will be responsible for analyzing, allocating requirements and specifications with various stakeholders. Responsibilities: Responsible for translating system/subsystem level software requirements into software level requirements for each CSCI. Work with System and Software engineers to develop software architecture models. Support Verification and Validation of software product to ensure all integrated CSCIs function as intended. Experience in systems engineering including requirements analysis, requirements allocation, system design, software design, software implementation, software testing, system integration, field integration testing, and requirements verification. Experience in software/systems architecture using Cameo Enterprise Architecture (behavioral, structural, analytical) to develop use cases, activity diagrams and sequence diagrams. Familiarity in Writing Software Test Plans and Test Descriptions and running tests. Basic Qualifications Principal Software Systems Engineer (Level 3): Bachelor of Science in an Engineering discipline and a minimum of five (5) years of systems engineering experience with any exposure to requirements development and verification activities; or a Master's of Science with a minimum of three (3) years of systems engineering experience with any exposure to requirements development and verification activities. Experience in systems engineering tools, such as DOORS, CAMEO. Experience in Embedded Software, and ability to read code and verify the implementation per Software Requirements Specifications Experience with system/subsystem/software/hardware integration, test, and verification Experience in the defense industry and design in an aerospace environment Current US Government Secret security clearance, adjudicated within the past 5 years Basic Qualifications Sr. Principal Software Systems Engineer (Level 4): Bachelor of Science in an Engineering discipline and a minimum of eight (8) years of systems engineering experience with any exposure to requirements development and verification activities; will consider Master of Science in an Engineering discipline and a minimum of six (6) years of systems engineering experience with any exposure to requirements development and verification activities. Experience in systems engineering tools, such as DOORS, CAMEO. Experience in Embedded Software, and ability to read code and verify the implementation per Software Requirements Specifications Experience with system/subsystem/software/hardware integration, test, and verification Experience in the defense industry and design in an aerospace environment Current US Government Secret security clearance, adjudicated within the past 5 years Preferred Qualifications: Experience in multiple aerospace and defense technologies (e.g., sensors, navigation aids, guidance electronics, controls, propulsion, structures, platforms). Have technical knowledge in one or more military mission areas (e.g., Air, Land, Sea, Space, Cyber) Experience in assessing legacy system architecture and innovation for future potential technology development. Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Defense System's, Advanced Weapons Division is looking for a Software Systems Engineer-Level 3/4, located in Northridge, CA. This role will be 100% on-site with no hybrid opportunities. A current government issued secret clearance is required to start. This person will support the Stand in Attack Weapon (SiAW) Program. As a member of the Software team, you'll work in a fast-paced environment as the go between for the Software Engineering functional group and the Systems Engineering functional group. Candidate should possess Systems Engineering discipline knowledge with strong embedded software familiarity. Candidate will be responsible for analyzing, allocating requirements and specifications with various stakeholders. Responsibilities: Responsible for translating system/subsystem level software requirements into software level requirements for each CSCI. Work with System and Software engineers to develop software architecture models. Support Verification and Validation of software product to ensure all integrated CSCIs function as intended. Experience in systems engineering including requirements analysis, requirements allocation, system design, software design, software implementation, software testing, system integration, field integration testing, and requirements verification. Experience in software/systems architecture using Cameo Enterprise Architecture (behavioral, structural, analytical) to develop use cases, activity diagrams and sequence diagrams. Familiarity in Writing Software Test Plans and Test Descriptions and running tests. Basic Qualifications Principal Software Systems Engineer (Level 3): Bachelor of Science in an Engineering discipline and a minimum of five (5) years of systems engineering experience with any exposure to requirements development and verification activities; or a Master's of Science with a minimum of three (3) years of systems engineering experience with any exposure to requirements development and verification activities. Experience in systems engineering tools, such as DOORS, CAMEO. Experience in Embedded Software, and ability to read code and verify the implementation per Software Requirements Specifications Experience with system/subsystem/software/hardware integration, test, and verification Experience in the defense industry and design in an aerospace environment Current US Government Secret security clearance, adjudicated within the past 5 years Basic Qualifications Sr. Principal Software Systems Engineer (Level 4): Bachelor of Science in an Engineering discipline and a minimum of eight (8) years of systems engineering experience with any exposure to requirements development and verification activities; will consider Master of Science in an Engineering discipline and a minimum of six (6) years of systems engineering experience with any exposure to requirements development and verification activities. Experience in systems engineering tools, such as DOORS, CAMEO. Experience in Embedded Software, and ability to read code and verify the implementation per Software Requirements Specifications Experience with system/subsystem/software/hardware integration, test, and verification Experience in the defense industry and design in an aerospace environment Current US Government Secret security clearance, adjudicated within the past 5 years Preferred Qualifications: Experience in multiple aerospace and defense technologies (e.g., sensors, navigation aids, guidance electronics, controls, propulsion, structures, platforms). Have technical knowledge in one or more military mission areas (e.g., Air, Land, Sea, Space, Cyber) Experience in assessing legacy system architecture and innovation for future potential technology development. Primary Level Salary Range: $114,000.00 - $171,000.00 Secondary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
09/23/2026
Full time
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: SCITRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission Systems is seeking a Principal Systems Engineer or a Sr Principal Systems Engineer with a Signal Processing background to work in Sacramento, California. Join a team that develops transformative signal processing solutions to solve complex challenges in Signals Intelligence (SIGINT). Your work will contribute to real-world national security initiatives. We offer a wide variety of professional development opportunities, mentorship by senior engineers, and access to cutting-edge tools and technologies like Ultra-Wideband (UWB) Software-Defined Radios (SDRs) and Graphics Processing Units (GPUs) for deployment of advanced signal processing algorithms. The engineer will be expected to have a basic understanding of core communications systems engineering concepts from their electrical engineering degree to perform analysis, devise requirements for and implement the signal processing algorithms. Responsibilities: Perform architecture trades, design analysis, and performance modeling Provide engineering support for hardware development efforts. Design detection and characterization algorithms for Radio Frequency communication signals Implement detection and characterization algorithms Test signal processing algorithms and receivers in a lab environment. Design, test, and produce detection, characterization, and geolocation algorithms. Support the deployment of core products on new platforms (e.g., manned aircraft, drones, ships, etc.). This position can be filled at the level 3 Principal or Level 4 Senior Principal based on specific requirements listed below. Basic Qualifications for Principal Systems Engineer Level 3: BS degree in STEM with 5 years relevant experience; or MS degree in STEM field with 3 years of related experience; or PhD in STEM field with 1 year of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Fundamentals: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance Basic Qualifications for Sr Principal Systems Engineer Level 4: BS in STEM degree with 8 years relevant experience; or MS degree in a STEM field with 6 years of related experience; or PhD in STEM field with 3 years of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Expertise: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance. Preferred Qualifications: Experience with the Atlassian tool suite (Jira, Confluence, Bitbucket) Practical experience or coursework in programming languages such as C++, Rust, or Python. Experience with simulating and processing RF communications in GNU Radio. Agile/DevOps: Experience in Agile software development and containerization tools like Docker or Kubernetes for deploying SIGINT applications GPU Acceleration: Demonstrated experience with CUDA for algorithm optimization Active TS with SCI clearance What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $114,000.00 - $171,000.00Secondary Level Salary Range: $142,200.00 - $213,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: NoCLEARANCE TYPE: SCITRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Mission Systems is seeking a Principal Systems Engineer or a Sr Principal Systems Engineer with a Signal Processing background to work in Sacramento, California. Join a team that develops transformative signal processing solutions to solve complex challenges in Signals Intelligence (SIGINT). Your work will contribute to real-world national security initiatives. We offer a wide variety of professional development opportunities, mentorship by senior engineers, and access to cutting-edge tools and technologies like Ultra-Wideband (UWB) Software-Defined Radios (SDRs) and Graphics Processing Units (GPUs) for deployment of advanced signal processing algorithms. The engineer will be expected to have a basic understanding of core communications systems engineering concepts from their electrical engineering degree to perform analysis, devise requirements for and implement the signal processing algorithms. Responsibilities: Perform architecture trades, design analysis, and performance modeling Provide engineering support for hardware development efforts. Design detection and characterization algorithms for Radio Frequency communication signals Implement detection and characterization algorithms Test signal processing algorithms and receivers in a lab environment. Design, test, and produce detection, characterization, and geolocation algorithms. Support the deployment of core products on new platforms (e.g., manned aircraft, drones, ships, etc.). This position can be filled at the level 3 Principal or Level 4 Senior Principal based on specific requirements listed below. Basic Qualifications for Principal Systems Engineer Level 3: BS degree in STEM with 5 years relevant experience; or MS degree in STEM field with 3 years of related experience; or PhD in STEM field with 1 year of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Fundamentals: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance Basic Qualifications for Sr Principal Systems Engineer Level 4: BS in STEM degree with 8 years relevant experience; or MS degree in a STEM field with 6 years of related experience; or PhD in STEM field with 3 years of related experience Domain Expertise: Understanding tactical SIGINT operations, military capabilities, and geolocation concepts. Requirements Translation: Ability to convert complex operational needs into technical system requirements DSP Fundamentals: Understanding of modulation/demodulation, FFT/spectral analysis, filtering (FIR/IIR), resampling, channelization, and detection/estimation theory. SIGINT/RF Expertise: Experience with Software Defined Radios (SDR), RF front-ends, IQ data, geolocation techniques (DF/beamforming), and signal characterization Ability to obtain and maintain a Top Secret/SCI security clearance. Preferred Qualifications: Experience with the Atlassian tool suite (Jira, Confluence, Bitbucket) Practical experience or coursework in programming languages such as C++, Rust, or Python. Experience with simulating and processing RF communications in GNU Radio. Agile/DevOps: Experience in Agile software development and containerization tools like Docker or Kubernetes for deploying SIGINT applications GPU Acceleration: Demonstrated experience with CUDA for algorithm optimization Active TS with SCI clearance What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $114,000.00 - $171,000.00Secondary Level Salary Range: $142,200.00 - $213,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
09/23/2026
Full time
Location: 4910 Tiedeman Road, Brooklyn Ohio Department: Contact Center Technology Experience: 4+ years About the Role KeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences. Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives. The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (GCP). This is a senior individual contributor role with delivery accountability, but no people management responsibility. Key Responsibilities Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks. Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives. Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements. Own end-to-end delivery of complex AI features, from concept and design through deployment and production support. Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences. Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies. Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios. Provide technical mentorship and code review support while contributing directly to development efforts. Establish engineering best practices for AI solution development, testing, deployment, and observability. Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness. Ensure solutions comply with security and regulatory requirements (PII / PCI). Required Skills & Qualifications 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role. Strong hands-on experience building and deploying AI-powered applications and services. Strong, hands-on experience with Node.js / TypeScript. Proven experience designing and delivering cloud-native solutions on GCP. Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks. Solid understanding of microservices architecture, APIs, and distributed systems. Hands-on Kubernetes experience, including GKE cluster setup and platform operations. Experience with IVR, voice bots, conversational AI, or contact center technologies. Strong collaboration skills across engineering, product, and operations teams. Excellent technical judgment, communication, and problem-solving skills. Preferred Qualifications Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain). Experience developing AI agents, orchestration workflows, and multi-agent solutions. Knowledge of voice flows, call routing, containment, and agent escalation. Experience working in regulated or financial services environments. Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code. Experience working in Agile delivery models at enterprise scale. Demonstrated experience with Agentic "Vibe Coding" - rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows. This position is NOT eligible for employment visa sponsorship for non-U.S. citizens. COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 11/27/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .
Job Description: About the Role: As Principal Product Manager - Subscriber Lifecycle, you will own the product responsible for showing new customers the value of their subscription, building the habits that keep them engaged, and giving them compelling reasons to stay subscribed across The Wall Street Journal and other Dow Jones subscription products. You will own the in-life subscriber lifecycle end to end, from onboarding and activation through retention, save offers, upsell, and winback, across web and mobile app surfaces that reach millions of subscribers. You will lead a team of product managers and work closely with marketing, engineering, design, and subscription strategy to set direction, run experiments, and ship work that directly protects and grows recurring revenue. You will report to the VP of Product - Commerce. About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. You Will: Work with marketing and subscription business stakeholders to define and execute the long-term product strategy for the in-life subscriber lifecycle across web and mobile app platforms Lead and develop a team of product managers as a player-coach Own prioritization and trade-offs across a complex multi-brand, multi-surface portfolio (WSJ, Barron's, MarketWatch; web and native mobile apps), driving alignment with engineering, design, marketing, data science, and senior leadership Run a rigorous experimentation program, using A/B testing and funnel analysis to drive measurable outcomes across activation, engagement, save, and winback experiences. Own the strategy for core retention systems and tooling Exhibit strong product judgment on high-impact decisions, balancing retention and revenue goals with subscriber experience and long-term brand health You Have: At least 8 years' of product management experience with a focus on subscriber retention, engagement, subscription, or direct-to-consumer products A track record of managing and developing product managers, including hiring, coaching, and performance management Proven ability to use AI tools to improve the quality and velocity of your work, while coaching the people around you to do the same Deep expertise in experimentation and data-driven decision making Ability to engage in detailed discussions with engineering, understand subscription and messaging system architecture, and make product decisions informed by technical feasibility A track record of influencing VP-level and above stakeholders and communicating product strategy, trade-offs, and business impact to executive audiences. A strong understanding of subscriber lifecycle metrics Knowledge of digital media and subscription businesses Experience with native mobile app product and platforms such as Braze or Piano (a plus) Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Learn more about all our US benefits Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Non-Union roleBase Pay Range: $150,000 - $185,000 We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
09/23/2026
Full time
Job Description: About the Role: As Principal Product Manager - Subscriber Lifecycle, you will own the product responsible for showing new customers the value of their subscription, building the habits that keep them engaged, and giving them compelling reasons to stay subscribed across The Wall Street Journal and other Dow Jones subscription products. You will own the in-life subscriber lifecycle end to end, from onboarding and activation through retention, save offers, upsell, and winback, across web and mobile app surfaces that reach millions of subscribers. You will lead a team of product managers and work closely with marketing, engineering, design, and subscription strategy to set direction, run experiments, and ship work that directly protects and grows recurring revenue. You will report to the VP of Product - Commerce. About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. You Will: Work with marketing and subscription business stakeholders to define and execute the long-term product strategy for the in-life subscriber lifecycle across web and mobile app platforms Lead and develop a team of product managers as a player-coach Own prioritization and trade-offs across a complex multi-brand, multi-surface portfolio (WSJ, Barron's, MarketWatch; web and native mobile apps), driving alignment with engineering, design, marketing, data science, and senior leadership Run a rigorous experimentation program, using A/B testing and funnel analysis to drive measurable outcomes across activation, engagement, save, and winback experiences. Own the strategy for core retention systems and tooling Exhibit strong product judgment on high-impact decisions, balancing retention and revenue goals with subscriber experience and long-term brand health You Have: At least 8 years' of product management experience with a focus on subscriber retention, engagement, subscription, or direct-to-consumer products A track record of managing and developing product managers, including hiring, coaching, and performance management Proven ability to use AI tools to improve the quality and velocity of your work, while coaching the people around you to do the same Deep expertise in experimentation and data-driven decision making Ability to engage in detailed discussions with engineering, understand subscription and messaging system architecture, and make product decisions informed by technical feasibility A track record of influencing VP-level and above stakeholders and communicating product strategy, trade-offs, and business impact to executive audiences. A strong understanding of subscriber lifecycle metrics Knowledge of digital media and subscription businesses Experience with native mobile app product and platforms such as Braze or Piano (a plus) Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Learn more about all our US benefits Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at . Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Non-Union roleBase Pay Range: $150,000 - $185,000 We're committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate's experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.
We anticipate the application window for this opening will close on - 29 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first - developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Sr DevSecOps Engineer defines, implements, and governs secure embedded software platform practices for regulated medical device programs. This role provides technical leadership across CI/CD automation, embedded Linux security, software supply chain controls, vulnerability management, cybersecurity risk analysis, and release evidence generation to support safe, secure, and compliant medical device development. Overview The Sr DevSecOps Engineer will join the Embedded OS Platforms and DevOps Team to implement secure embedded platform DevOps workflows for new and existing medical device development programs. The Embedded OS Platforms and DevOps Team delivers the software infrastructure and foundational system components that enable operation of product application software. This role is responsible for advancing reusable DevSecOps frameworks, secure CI/D pipelines and software supply chain practices, embedded Linux security capabilities, and cybersecurity lifecycle processes across multiple products. The successful candidate will serve as a technical lead who partners with OS and application software developers, systems, product security, quality, regulatory, and program teams to deliver secure, maintainable, and compliant platform solutions. Key Responsibilities Define and own the DevSecOps architecture and roadmap for embedded capital equipment platforms, including secure CI/CD pipelines, build infrastructure, security automation, and release evidence. Establish secure software supply chain practices, including SBOM generation, SOUP/OTS component tracking, license awareness, vulnerability monitoring, end-of-support tracking, and remediation workflows. Develop reusable CI/CD templates and pipeline controls for static analysis, software composition analysis, unit test automation, artifact signing, provenance tracking, cybersecurity evidence capture, and release readiness. Lead threat modeling and cybersecurity risk analysis for embedded platform components, including asset identification, attack surface analysis, exploitability assessment, security controls, and traceability to risk mitigations. Drive CVE intake, enrichment, asset mapping, triage, risk scoring, remediation planning, validation, and reporting in partnership with Product Security, SWQA, Systems, and program teams. Design and implement secure boot, firmware signing, cryptographic configuration, key/certificate lifecycle support, authenticated update mechanisms, and secure device communication patterns. Define runtime security monitoring requirements and support post-market cybersecurity monitoring and vulnerability response workflows. Review reported anomalies, assess cybersecurity impact, and support incident-response activities as needed. Support regulatory submissions and audits by ensuring cybersecurity, software lifecycle, and DevSecOps evidence is complete, traceable, reproducible, and aligned with internal quality system expectations. Collaborate with external vendors and internal partners to evaluate security tooling, embedded Linux support models, vulnerability intelligence, penetration testing outputs, and long-term maintenance approaches. Provide technical leadership and mentoring to software engineers, DevOps engineers, and platform teams on secure coding, build automation, vulnerability handling, and regulated software development practices. Technologies & Tools AMD Zynq and Zynq UltraScale+ SoCs, NVIDIA ORIN, SafeRTOS, FreeRTOS Yocto-based embedded Linux package development Embedded hypervisors, Linux device drivers, BSPs, and boot flows Custom build systems and CI/CD pipelines Docker, Snyk, SonarQube, and software composition analysis tools Static analysis, software composition analysis, artifact signing, and vulnerability management tools Python, Bash, and Go Atlassian tools including Bitbucket, Jira, Bamboo, and Confluence GitHub and GitLab Networking security, secure boot, firmware signing, and secure update technologies Preferred Qualifications Hands-on experience with cloud infrastructure (AWS or similar) and modern DevOps practices. Proficiency with infrastructure-as-code and secure CI/CD tooling. Familiarity with monitoring, observability, and incident management. Experience with security technologies and practices including certificates, secrets management, and compliance support. Experience developing DevSecOps workflows in regulated safety-critical environments such as aerospace, medical, automotive, or industrial controls. Understanding of FDA cybersecurity expectations, IEC 62304, ISO 14971, ISO 13485, SOUP/OTS software management, SBOM practices, and software lifecycle evidence generation. Experience implementing security automation in CI/CD pipelines, including SAST, SCA, container scanning, artifact signing, build reproducibility, traceability, and vulnerability reporting. Experience with threat modeling, vulnerability assessment, cybersecurity risk analysis, and secure-by-design architecture reviews. Ability to collaborate across hardware, software, systems, product security, quality, regulatory, program management, and product management stakeholders. Strong debugging, problem-solving, and root-cause analysis skills. Strong technical communication skills with the ability to translate cybersecurity and DevSecOps risks into actionable engineering and leadership decisions. TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in technical functions to advance existing technology or introduce new technology and therapies. Formulates, delivers, and manages projects assigned, and works with stakeholders to achieve desired results. May act as a mentor to colleagues or direct the work of other professionals. The majority of time is spent delivering R&D, systems, or initiatives related to new technologies or therapies from design to implementation while adhering to policies and using specialized knowledge and skills. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. U.S. Work Authorization & Sponsorship At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Recruitment Fraud Alert We are aware of phishing scams targeting job seekers. Please keep the following in mind: Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and email addresses. Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at . Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl . click apply for full job details
09/23/2026
Full time
We anticipate the application window for this opening will close on - 29 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first - developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Sr DevSecOps Engineer defines, implements, and governs secure embedded software platform practices for regulated medical device programs. This role provides technical leadership across CI/CD automation, embedded Linux security, software supply chain controls, vulnerability management, cybersecurity risk analysis, and release evidence generation to support safe, secure, and compliant medical device development. Overview The Sr DevSecOps Engineer will join the Embedded OS Platforms and DevOps Team to implement secure embedded platform DevOps workflows for new and existing medical device development programs. The Embedded OS Platforms and DevOps Team delivers the software infrastructure and foundational system components that enable operation of product application software. This role is responsible for advancing reusable DevSecOps frameworks, secure CI/D pipelines and software supply chain practices, embedded Linux security capabilities, and cybersecurity lifecycle processes across multiple products. The successful candidate will serve as a technical lead who partners with OS and application software developers, systems, product security, quality, regulatory, and program teams to deliver secure, maintainable, and compliant platform solutions. Key Responsibilities Define and own the DevSecOps architecture and roadmap for embedded capital equipment platforms, including secure CI/CD pipelines, build infrastructure, security automation, and release evidence. Establish secure software supply chain practices, including SBOM generation, SOUP/OTS component tracking, license awareness, vulnerability monitoring, end-of-support tracking, and remediation workflows. Develop reusable CI/CD templates and pipeline controls for static analysis, software composition analysis, unit test automation, artifact signing, provenance tracking, cybersecurity evidence capture, and release readiness. Lead threat modeling and cybersecurity risk analysis for embedded platform components, including asset identification, attack surface analysis, exploitability assessment, security controls, and traceability to risk mitigations. Drive CVE intake, enrichment, asset mapping, triage, risk scoring, remediation planning, validation, and reporting in partnership with Product Security, SWQA, Systems, and program teams. Design and implement secure boot, firmware signing, cryptographic configuration, key/certificate lifecycle support, authenticated update mechanisms, and secure device communication patterns. Define runtime security monitoring requirements and support post-market cybersecurity monitoring and vulnerability response workflows. Review reported anomalies, assess cybersecurity impact, and support incident-response activities as needed. Support regulatory submissions and audits by ensuring cybersecurity, software lifecycle, and DevSecOps evidence is complete, traceable, reproducible, and aligned with internal quality system expectations. Collaborate with external vendors and internal partners to evaluate security tooling, embedded Linux support models, vulnerability intelligence, penetration testing outputs, and long-term maintenance approaches. Provide technical leadership and mentoring to software engineers, DevOps engineers, and platform teams on secure coding, build automation, vulnerability handling, and regulated software development practices. Technologies & Tools AMD Zynq and Zynq UltraScale+ SoCs, NVIDIA ORIN, SafeRTOS, FreeRTOS Yocto-based embedded Linux package development Embedded hypervisors, Linux device drivers, BSPs, and boot flows Custom build systems and CI/CD pipelines Docker, Snyk, SonarQube, and software composition analysis tools Static analysis, software composition analysis, artifact signing, and vulnerability management tools Python, Bash, and Go Atlassian tools including Bitbucket, Jira, Bamboo, and Confluence GitHub and GitLab Networking security, secure boot, firmware signing, and secure update technologies Preferred Qualifications Hands-on experience with cloud infrastructure (AWS or similar) and modern DevOps practices. Proficiency with infrastructure-as-code and secure CI/CD tooling. Familiarity with monitoring, observability, and incident management. Experience with security technologies and practices including certificates, secrets management, and compliance support. Experience developing DevSecOps workflows in regulated safety-critical environments such as aerospace, medical, automotive, or industrial controls. Understanding of FDA cybersecurity expectations, IEC 62304, ISO 14971, ISO 13485, SOUP/OTS software management, SBOM practices, and software lifecycle evidence generation. Experience implementing security automation in CI/CD pipelines, including SAST, SCA, container scanning, artifact signing, build reproducibility, traceability, and vulnerability reporting. Experience with threat modeling, vulnerability assessment, cybersecurity risk analysis, and secure-by-design architecture reviews. Ability to collaborate across hardware, software, systems, product security, quality, regulatory, program management, and product management stakeholders. Strong debugging, problem-solving, and root-cause analysis skills. Strong technical communication skills with the ability to translate cybersecurity and DevSecOps risks into actionable engineering and leadership decisions. TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in technical functions to advance existing technology or introduce new technology and therapies. Formulates, delivers, and manages projects assigned, and works with stakeholders to achieve desired results. May act as a mentor to colleagues or direct the work of other professionals. The majority of time is spent delivering R&D, systems, or initiatives related to new technologies or therapies from design to implementation while adhering to policies and using specialized knowledge and skills. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. U.S. Work Authorization & Sponsorship At Medtronic, we are committed to fostering an environment where employees can thrive and make a meaningful impact. In alignment with our enterprise-wide workforce planning approach, U.S. work authorization sponsorship (H-1B, TN, J, etc.) is offered exclusively for Principal-level roles and above, where specialized expertise aligns with long-term business needs. Roles below the Principal level require candidates to possess unrestricted U.S. work authorization at the time of hire and for the duration of employment. Recruitment Fraud Alert We are aware of phishing scams targeting job seekers. Please keep the following in mind: Apply only through official Medtronic channels. All legitimate Medtronic recruiting communications come from approved Medtronic platforms and email addresses. Medtronic will never ask for payment or sensitive personal information (such as bank account or Social Security details) during early stages of the hiring process. Any such requests are not legitimate. If you receive a suspicious message claiming to be from Medtronic, do not respond, click links, or open attachments. If you have any questions, concerns regarding the authenticity of a communication alleged to have been made by or on behalf of Medtronic, please contact us immediately at . Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. Salary ranges for U.S (excl . click apply for full job details
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
09/23/2026
Full time
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution - requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer's Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomalies, and rogue agent detection - including scenarios where an agent may have been compromised or infiltrated. Beyond agentic-native threats, this role demands strong fluency in fraud and risk mitigation, spanning both traditional and emerging attack surfaces. This includes a depth of knowledge across classic vectors - Account Takeover (ATO), resource draining, and fraudulent account creation - as well as their evolving equivalents in multi-agent and autonomous system environments. Key Responsibilities Product Strategy & Roadmap: Define and champion a clear product strategyand roadmap, utilizing data-driven prioritization methods to maximize customer value and business impact. Manage inputs from diverse cross-functional stakeholders. Customer Experience: Drive customer research (surveys, interviews, data analysis) to identify top opportunities, optimize the end-to-end customer journey, and ensure product value realization. Experience Design: Partner with Product Design on prototypes, wireframes, and concepts, continuously improving the usability of both the UI and APIs for technical and business audiences. Agile Execution & Delivery: Maintain active, daily collaboration with engineering teams. Write clear user stories, scope work for sprints, and actively participate in Agile cadences. Proactively solve problems and manage ambiguity to ensure on-time delivery. Performance Optimization: Drive continuous data analysis and insights into customer adoption. Establish clear hypotheses and baselines for feature launches, then track progress toward strategic targets and drive continuous product iteration based on learnings. Commercial Growth & Value: Partner closely with Product Marketing to run targeted customer campaigns. These efforts will drive trial conversions, accelerate Product-Led Growth (PLG) motions, boost retention, and increase high-value usage and adoption. Go-to-Market: Proactively monitor the competitive landscape to identify gaps and differentiators. Partner with Product Marketing and pre-sales engineering to refine product positioning, develop engaging customer value messaging, and craft supporting content (blogs, webinars). Field & Customer Engagement: Actively engage with the field organization (Sales, Solutions Engineering, Technical Account Managers) to build deep knowledge of the voice of the customer. Drive customer conversations during pre-sales, renewals, and at key events to gather feedback and support adoption. AI-Powered Productivity: Drive efficiency and strategic insight by leveraging AI tools for high-value activities, including prototyping, synthesizing customer insights, accelerating competitive and market analysis, and rapidly generating high-quality product documentation. Required Qualifications AI Agent Experience: Significant product experience with AI Agent creation, orchestration and the use of MCP (Model Context Protocol) servers for exposing context, tools, and resources to agents. Ability to use this experience to define how Auth0's should securely authenticate, authorize, and monitor non-human AI principals at runtime. Agentic Threat Remediation: You have a strong command of the OWASP Top 10 for Agentic AI, and can articulate how each attack class manifests in real-world agentic deployments. You bring direct experience identifying, triaging, and driving remediation of agentic threats, with particular depth in: prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup or high-growth company environments. Education: An Undergraduate and/or Masters Degree in Computer Science, Engineering, Information Systems or a related technical field. General Security Industry Experience: Prior working experience in the security, fraud or compliance industries with foundational knowledge of Identity and Access Management (IAM/CIAM) concepts (e.g., OAuth 2.0, OpenID Connect, SSO, MFA, RBAC) and/or familiarity with compliance frameworks relevant to identity security (e.g., GDPR, CCPA, SOC 2). Communication: Excellent communication skills (presentation, verbal, and written) and a highly collaborative approach, working with cross-functional stakeholders across the organization. Enterprise Software: Demonstrated experience in delivery of global, enterprise software across all aspects of the product lifecycle. Results Driven: A clear history of being outcome-driven and achieving tangible business results through the successful delivery of products, features, or capabilities that you have owned. Problem Solving: Keen analytical, problem-solving, and decision-making abilities, with a proven capacity to formulate effective action plans even when faced with incomplete, conflicting, or ambiguous inputs. Entrepreneurial: Bring an entrepreneurial mindset and a strong intellectual curiosity that drives you to learn and delve deeply into both business and technical aspects of this role. Agile Development: Deep experience working successfully with engineering teams in an Agile development environment, including scoping, sprint planning, and backlog management and prioritization. .1 Below is the annual On Target Compensation (OTE) range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: The annual OTE range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between: $169,000-$253,000 USD The Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process . click apply for full job details
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality Teaching, coaching, and mentoring less experienced staff Contributing to proposals as well as preliminary and critical design reviews Ability to obtain program access What You Will Learn Working across a product line in collaboration with other teams Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.). Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations Familiarity with layered architectural principles, and their limitations Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. . click apply for full job details
09/23/2026
Full time
Date Posted: 2026-08-17 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4000+ software engineers design, develop, and build innovative solutions for our customers. Join our fast-paced agile teams on the leading edge of technology. As part of the Software Engineering Directorate's (SWE) Effectors Center (EC) team, you will be an integral part of helping Raytheon further our vision to be the global leader in core and next-generation weapon and security solutions. By any measure, Raytheon is an exciting and rewarding place to work. We pride ourselves on developing mission-driven, world-class talent. The result is a workforce that takes pride in the company and consistently delivers superior solutions. Our Senior Principal Embedded Real-Time Software Developer/Integrator is a technical position that works in an Integrated Product Team (IPT) environment to architect, design, implement, test, debug, and deploy Software for Firmware (FPGA) and Hardware solutions that meet current and next generation autonomous avionics systems' needs. Working with a cross-discipline team, the candidate must have experience developing, testing, and integrating software for edge or embedded devices and/or subsystems (like telecom, medical, IoT, automotive, or robotics) where hardware operation, time critical function, functional reliability, mission assurance, and safety might be major concerns. The successful candidate will work with Product Owners, Chief Engineers, Management and other IPT members using Lean and/or Agile practices to ensure that embedded software is designed and developed to reliably operate toward the intended functions. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Architecting, designing, implementing, testing, and debugging integrated embedded real-time software within heterogenous systems composed of firmware and hardware Working within a cross-discipline team to define, refine, and improve product concept, implementation, testability, and guaranteed, measurable quality Teaching, coaching, and mentoring less experienced staff Contributing to proposals as well as preliminary and critical design reviews Ability to obtain program access What You Will Learn Working across a product line in collaboration with other teams Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Experience including at least two of the following: Embedded C++ Software, Embedded Software Security, Software Architecture Design and Implementation. Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.). Experience developing complex systems involving the integration of hardware, firmware, and software. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain program access after start. Qualifications We Prefer Familiarity with rate monotonic theory, practice, and limitations Familiarity with layered architectural principles, and their limitations Familiarity with reading electrical schematics and relating it to software function Familiarity with reading firmware source like VHDL or Verilog Familiarity with assembly language in at least one processor/controller family Experience using lab instruments like power-supplies, digital multi-meters, oscilloscopes, and logic analyzers Experience with developing device drivers for bare-metal and/or OS applications Experience leading engineering teams in delivering systems (of various size) involving the integration of hardware and software. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. . click apply for full job details
