73 jobs found

Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description ENGineer iv - Release Train ENGINEER Location: Colorado Springs, CO Clearance: Active TS preferred, ability to obtain TS acceptable OVERVIEW The Release Train Engineer functions as a servant leader and coach for a team of Agile teams, synchronizing planning, execution, and continuous improvement across the program increment. Partnering with Product and Solution Management, the RTE safeguards lean agile principles, removes impediments, and fosters an environment where innovation and delivery coexist. KEY RESPONSIBILITIES Facilitate Program Increment (PI) Planning, Scrum of Scrums, ART Sync, System Demos, and Inspect & Adapt events, ensuring clear goals, transparent metrics, and actionable outcomes. Drive relentless improvement by monitoring flow metrics, conducting root cause analysis, and implementing pragmatic enhancements that accelerate value delivery without sacrificing quality. Manage program risks, dependencies, and impediments, escalating strategically to maintain alignment with portfolio and enterprise objectives. Champion consistent usage of digital engineering tools (Jira, Confluence, VersionOne, DOORS, Cameo) to provide data driven insight into schedule, scope, and capacity. Coach Scrum Masters, Product Owners, and engineering leads on SAFe competencies, cultivating a culture of accountability, technical excellence, and psychological safety. Collaborate with Release Management, DevSecOps, and Quality Engineering to streamline the Continuous Delivery Pipeline and maintain a reliable System Increment baseline. Maintain alignment with cybersecurity compliance frameworks, embedding security and accreditation activities into each iteration. Communicate program status, financial burn, and value realization to executive stakeholders through briefings and formal reviews. Preforms other duties as assigned. MINIMUM QUALIFICATIONS Bachelor's degree or equivalent experience in Engineering, Computer Science, or related field; Master's preferred. Minimum eight years of experience in systems or software delivery, including three years as a Release Train Engineer, Program Manager, or equivalent. Current SAFe RTE or SAFe SPC certification. Demonstrated mastery of Agile at scale, lean systems thinking, and Earned Value or similar performance management. Proven ability to influence leaders and teams in highly regulated environments (DoD, aerospace, or similar). PREFERRED QUALIFICATIONS Systems engineering mindset with an appreciation for legacy processes and a passion to modernize through automation and model based approaches. Exceptional verbal and written communication skills, able to translate technical complexity into executive level insights. Calm under pressure, with a disciplined approach to risk management and decision making. Continuous learner ethic, actively seeking emerging practices in digital transformation, AI enabled test, and model based systems. COMPENSATION AND BENEFITS Salary Range: $120,000-$140,000 annually (based on experience and qualifications) Benefits Include: 70% company-paid medical insurance 100% company-paid dental and vision coverage 401(k) plan with company match and profit sharing Company-paid life and AD&D insurance Education assistance program Paid time off (PTO) starting at 15 days annually, increasing with tenure 13 paid holidays annually, including a year-end shutdown And more! Powered by JazzHR z23wrW7JI4

Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required This job posting is for a potential upcoming opening, and we encourage interested candidates to apply for future consideration. As an Release Train Engineer, you will Release Management Lead integrated release planning and execution across Agile teams. Coordinate release readiness, deployment, and production support. Manage release schedules, dependencies, risks, and cross-team alignment. Facilitate release planning and Go/No-Go reviews. Drive CI/CD, release automation, and continuous improvement. Communicate release status, metrics, and risks to leadership and customers. Ensure compliance with configuration, cybersecurity, and change management processes. Manage release documentation, approvals, and implementation activities. Scrum Master Serve as Scrum Master for one or more Agile teams. Facilitate Scrum ceremonies and Agile planning activities. Coach teams on Agile best practices and continuous improvement. Remove impediments and mitigate delivery risks. Partner with Product Managers to prioritize and maintain healthy backlogs. Foster collaboration across development, test, security, and operations. Track sprint metrics, velocity, and team health. Promote transparency, accountability, and delivery excellence. Program Leadership Coordinate cross-team dependencies and program execution. Support PI Planning, release forecasting, and roadmap alignment. Identify program risks and drive mitigation strategies. Deliver executive status reporting and release dashboards. Advance Agile maturity and process improvement initiatives. Mentor Scrum Masters and Agile teams to improve delivery outcomes. Release Train Engineer Qualifications: Bachelor's degree in Computer Science, Software Engineering, or related field and 8-12 years of prior relevant experience or Master's with 6-10 years of prior relevant experience. May possess a Doctorate in a technical domain. Certified Scrum Master (CSM), Advanced CSM, or Certified Scrum Professional (CSP). 10+ years of experience supporting software development programs. 5+ years of Release Management experience within Agile software development environments. 5+ years serving as a Scrum Master for Agile development teams. Experience managing releases across multiple Scrum teams. Strong understanding of Agile, Scrum, Kanban, and Lean methodologies. Experience supporting DevSecOps and CI/CD environments. Experience with Jira, Confluence, or similar Agile lifecycle management tools. Excellent facilitation, communication, and stakeholder management skills. Experience supporting DoD or Intelligence Community programs. Additional Skills We Would Like to see SAFe Scrum Master (SSM), SAFe Release Train Engineer (RTE), SAFe Agilist certification. PMI Agile Certified Practitioner (PMI-ACP) and/or PMP certification. Experience with GitLab, Jenkins, GitHub Enterprise, or other CI/CD platforms. Experience with Kubernetes, cloud-native technologies, or containerized deployments. Experience supporting mission systems within the Intelligence Community. Experience with scaled Agile frameworks and multi-team release coordination. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Role & Team: "We Power the Magic!" That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney Cruise Line, Aulani, Disney Vacation Club, and Disney Parks & Resorts worldwide. We are responsible for the end-to-end digital and physical Guest experience for technology and digital-led initiatives that power the planning, booking, fulfillment, operations, and Guest experience across Disney Signature Experiences. The successful candidate must possess strategic leadership skills and technical knowledge that is both broad and deep across software engineering, systems design, architecture, cloud platforms, and modern technology ecosystems. This leader will be responsible for establishing technical direction, guiding solution design, enabling engineering excellence, and ensuring the delivery of scalable, resilient, and highly integrated technology solutions that align with business priorities and enterprise standards. The role requires strong partnership across Product, Engineering, Data, Program, and Business organizations and the ability to influence outcomes in a highly matrixed environment. You will report to the Director of Software Engineering. This is a full-time Position. What You Will Do: Provide technical leadership across architecture, design, integration, quality, automation, and operations, ensuring sustainable, scalable, secure, and resilient engineering solutions across Disney Cruise Line and Disney Signature Experiences platforms. Develop and maintain strategic technology roadmaps that ensure technical currency, reduce legacy risk, support platform modernization efforts, and advance business goals. Establish and drive architectural direction, engineering standards, governance processes, and solution design practices that align technology investments with business strategy and enterprise objectives. Lead and mentor multiple cross-functional engineering teams and technical leaders across diverse locations and engagement models, fostering technical excellence, innovation, and organizational growth. Provide leadership and engage regularly with stakeholders for resource planning, technical analysis, architecture reviews, solution design decisions, and quality oversight across engineering portfolios. Champion continuous improvement in engineering practices, delivery efficiency, operational excellence, and organizational agility through adoption of modern software development and platform engineering capabilities. Champion best practices and strategic thinking in the design and delivery of systems and platforms, ensuring solutions are scalable, secure, resilient, maintainable, and aligned with a Guest and Crew experience culture. Drive domain and technology strategy across web, mobile, cloud, AI, integrations, and enterprise platforms, shaping technical recommendations, architecture patterns, prioritization frameworks, and technology investment decisions. Serve as a senior technical leader for complex architecture and technology decisions, balancing business needs, engineering constraints, scalability requirements, security standards, and delivery objectives. Partner closely with Product, Engineering, Data, Program Management, and Business leaders to ensure technology solutions are architecturally sound, practical to implement, and aligned with long-term strategic goals. Lead architecture reviews, technology assessments, proof-of-concept initiatives, and modernization efforts to continuously improve platform capabilities, engineering effectiveness, and operational performance. Build and maintain strong partnerships with vendors and third-party technology providers, ensuring solutions meet Disney standards for quality, security, performance, reliability, and integration. Continuously assess emerging technologies and evolving industry trends to influence strategic direction, improve engineering capabilities, and identify opportunities for business growth and innovation. Oversee financial planning and portfolio budgeting processes, ensuring fiscal accuracy, strategic alignment, and reliable forecasting across product and technology investments. Required Qualifications and Skills: Minimum 10 years of progressive technology experience in software engineering, systems design, architecture, platform engineering, or related technical leadership disciplines. Demonstrated leadership of large-scale, complex technology initiatives and multidisciplinary engineering organizations. 2+ Years of Experience of People Management, leading software engineers, architects, technical leads, vendors, and cross-functional technology partners. Strong technical expertise across modern cloud platforms, distributed systems, integration patterns, enterprise applications, web and mobile technologies, and modern software development frameworks. Proven ability to establish and implement architectural standards that enable scalable, secure, resilient, and maintainable solutions. Experience delivering products and platforms utilizing Agile, DevOps, and modern software engineering practices. Strong executive communication, stakeholder management, strategic planning, and organizational leadership capabilities. Proven ability to lead in highly matrixed environments, influence without authority, and align technology strategy with business objectives. Preferred Qualifications and Skills: Experience supporting travel, hospitality, cruise, commerce, reservation, fulfillment, or Guest experience platforms. Experience leading large-scale digital transformation and platform modernization efforts. Expertise in cloud-native architectures and platforms including AWS, Azure, or Google Cloud. Experience with enterprise architecture governance, technology strategy, and technical operating models. Familiarity with SAFe, Agile delivery models, DevSecOps practices, and architecture frameworks such as TOGAF. Education: Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Required. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Are you an internal caregiver, student, or contingent worker/agency worker at UMass Memorial Health? CLICK HERE to apply through your Workday account. Exemption Status: Exempt Hiring Range: $91,644.80 - $164,944.00 (based on a full time schedule of 40 hours per week). Please note that the final offer will vary based on scheduled hours. Compensation for part-time or reduced schedules will be prorated based on scheduled weekly hours, experience, skills, qualifications, and internal equity considerations. Schedule Details: Monday through Friday Scheduled Hours: 8:00 AM - 4:30 PM Shift: 1 - Day Shift, 8 Hours (United States of America) Hours: 40 Cost Center: 99940 - 5980 IS Enterprise Solution Architecture This position may have a signing bonus available a member of the Recruitment Team will confirm eligibility during the interview process. Everyone Is a Caregiver At UMass Memorial Health, everyone is a caregiver - regardless of their title or responsibilities. Exceptional patient care, academic excellence and leading-edge research make UMass Memorial the premier health system of Central Massachusetts, and a place where we can help you build the career you deserve. We are more than 20,000 employees, working together as one health system in a relentless pursuit of healing for our patients, community and each other. And everyone, in their own unique way, plays an important part, every day. The Senior Epic Client System Administrator supports, configures, and maintains Epic Client Systems to ensure reliable access to Epic applications across clinical and operational environments. I. Major Responsibilities Install, configure, and maintain Epic components including Hyperspace, Interconnect, EPS, Web BLOB, MyChart, CareLink, Rover, Haiku. Support daily operations of Epic client systems and web/service servers. Troubleshoot system issues, performance problems, and integration failures. Participate in cloud migration tasks including endpoint updates, IRIS reinstall support, Kuiper and System Pulse operations. Collaborate with technical leads, application teams, and infrastructure teams. Acts as a technical leader and mentor to up and coming team members. Ability to effectively articulate recommended solutions to project teams, management, and executive leadership. Takes lead on large projects, initiatives, and complex changes. II. Position Qualifications License/Certification/Education: Required: Bachelor's degree or equivalent experience. Experience/Skills: 6+ years in Healthcare IT in an Epic Client Systems role. Technical expertise in Windows Server, Epic client distribution tools, and web/service servers. Strong analytical troubleshooting and problem solving skills. Effective communication and collaboration with clinical and technical teams. Ability to document procedures, configurations, and operational playbooks. Adaptability in fast paced healthcare and cloud migration environments. Advanced troubleshooting skills for Epic client systems and Windows Server environments. Proficiency with scripting (PowerShell) for automation and system management. Understanding of Azure, virtual infrastructure, and cloud hosted workflows. Ability to manage client distribution tools and web/service server architecture. Experience supporting clinical and operational teams in a healthcare environment. Strong documentation skills for technical procedures and operational workflows. Ability to work in fast paced, rapidly evolving technical environments. Preferred: Experience with Citrix, Azure, Imprivata, Layer 2/3 networking. Epic Certifications: Hyperspace Deployment Administration (Client Access to Hyperspace) and Web and Service Server Administration, including Hyperspace Web, MyChart, Interconnect, and Web BLOB/Business Continuity Access (BCA)/Epic Print Service (EPS). Candidates who do not possess these certifications at the time of hire must obtain them within 12 months of their start date. Microsoft Certifications: Microsoft 365 Administrator (MS-102), Azure Administrator Associate (AZ-104), Microsoft Endpoint Administrator (MD-102), and Microsoft Windows Server Hybrid Administrator Associate (AZ-800/AZ-801). Candidates who do not possess these certifications at the time of hire must obtain them within 12 months of their start date. Unless certification, licensure or registration is required, an equivalent combination of education and experience which provides proficiency in the areas of responsibility listed in this description may be substituted for the above requirements. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. We're striving to make respect a part of everything we do at UMass Memorial Health - for our patients, our community and each other. Our six Standards of Respect are: Acknowledge, Listen, Communicate, Be Responsive, Be a Team Player and Be Kind. If you share these Standards of Respect, we hope you will join our team and help us make respect our standard for everyone, every day. As an equal opportunity and affirmative action employer, UMass Memorial Health recognizes the power of a diverse community and encourages applications from individuals with varied experiences, perspectives and backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, protected veteran status or other status protected by law. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at . We will make every effort to respond to your request for disability assistance as soon as possible.

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Job Overview This role supports strategic and operational decision-making by delivering insights and analysis across the business. It manages data mining, business intelligence, and reporting to provide actionable recommendations. The role collaborates with multiple teams to conduct complex modeling and analysis for business improvements. Success is measured by the accuracy and impact of insights that inform resource prioritization and performance benchmarks. The work influences organizational strategies and enhances customer experiences through data-driven solutions. This is a hybrid role (3 days/week in the office) and will be based in Overland Park, KS. Job Responsibilities: Provide insights and recommendations that optimize business experiences through cross-functional collaboration and data analysis Develop and maintain data and reporting solutions including dashboards, reports, and self-service tools to support enterprise goals Apply analytical and modeling techniques to support decision-making and resource prioritization across the organization Participate in the design and administration of reporting structures and interfaces for standardized use across teams Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience: Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required) Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical experience (Required) Working experience solving analytical problems using quantitative approaches (Required) Working experience reporting and analyzing performance & data visualization (Tableau, Power BI, etc.) (Required) Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required) Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred) Telecommunications (Preferred) Knowledge, Skills and Abilities: Business Acumen (Required) Dashboard Development (Required) Data Analysis (Required) Data Storytelling (Required) Executive Presence (Required) Financial Modeling (Required) People Management (Required) Project Management (Required) Stakeholder Management (Required) Strategic Thinking (Required) At least 18 years of age Legally authorized to work in the United States Travel: Travel Required (Yes/No): No DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Total Target Cash Earnings Opportunity: $89,585 - $161,575National Base Pay Range: $77,900 - $140,500 The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results. The base pay range reflects the compensation component of this opportunity. The candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary. At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out . Never stop growing!As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing or calling 1-. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $198,000.00 - $272,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. The Principal Data Architect serves as the senior technical authority for Applied's enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs. Owns the architecture of certified data products and the enterprise semantic layer, provides data architecture leadership to the S/4 transformation, and sets the standards, patterns, and decision gates that delivery teams and partners build against. Operates through technical credibility and influence across business units rather than through direct reporting authority. Key Responsibilities: Enterprise data architecture and standards. Define and own the target-state architecture for Applied's data platform and BI landscape. Establish reference architectures, design patterns, and BKMs for integrated solution design. Serve as architecture approver for platform and solution designs, with authority to require rework where designs diverge from enterprise standards. Large-scale data transformation leadership. Provide end-to-end technical leadership for complex, multi-year, multi-BU data transformation programs - current-state assessment, target architecture, migration strategy, sequencing, cutover design, and decommissioning. Own the architecture-level risks and dependencies that cross program boundaries and would otherwise fall between program owners. S/4 data transformation. Act as the data architecture authority to the S/4 program. Own the data model and master data implications of ERP design decisions, the conversion and harmonization strategy for legacy and historical data, and the downstream architecture that makes S/4 data consumable for analytics and AI. Ensure ERP-side decisions are made with full visibility into their downstream cost. Data products development. Define and own the data product operating model - product definition, data contracts, ownership, certification criteria, quality and freshness SLAs, versioning, and deprecation. Architect the highest-impact enterprise data products directly and certify the rest. Drive reuse so that data products reduce the overall asset footprint rather than adding to it. Enterprise semantic layer. Own the design and governance of the enterprise semantic layer - the common business vocabulary, conformed dimensions, and certified metric definitions that guarantee a measure means the same thing in every consuming tool. Architect the layer to serve BI, self-service, embedded analytics, and agentic AI consumption from a single governed definition set. Establish the change-control process for semantic definitions. Governance, security, and quality by design. Embed governance into the architecture rather than retrofitting it: catalog and lineage coverage, classification, attribute- and role-based access control, and data quality instrumentation as architectural requirements at design time. Partner with Information Security and Compliance on data protection posture, encryption and key management design, and SOX-relevant controls within the data estate. Technology strategy and vendor assessment. Own multi-year platform and capability roadmaps for the data and BI estate. Lead technical evaluation of vendor products and next-generation technologies, including proof-of-concept design and objective scoring. Assess architectural lock-in and exit cost as a first-class criterion. Recommend additions and changes to Applied's enterprise architectural strategy. Serve as senior technical counterpart to strategic vendor and partner relationships. Technical direction of delivery and partner teams. Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff through design reviews, architecture gates, and code and model review. Define technical acceptance criteria for partner statements of work and assess delivered work product against them. Escalate quality and capability concerns to the accountable delivery managers. Technical community leadership. Raise the architectural and data modeling capability of the broader data organization through mentoring, design review, internal standards documentation, and targeted enablement. Build the bench of engineers and architects capable of extending the patterns this role establishes. Executive influence and decision support. Translate architectural tradeoffs into business terms for senior stakeholders - cost, risk, time-to-value, optionality. Build the case for architecture investment and drive alignment across BU leaders whose local optima conflict with the enterprise target state. Competency Framework: Functional Knowledge Recognized as the enterprise technical authority in data architecture and an advanced expert within the data and analytics discipline. Maintains deep, current knowledge of adjacent disciplines including ERP data, information security, and AI/ML platform engineering. Business Expertise Applies in-depth understanding of how data architecture integrates across the segment and function, and of the commercial and operational drivers of the business units the data estate serves. Anticipates the business consequences of architectural decisions. Leadership Leads programs of substantial complexity, risk, and organizational breadth without formal reporting authority. Sets technical direction for multiple delivery teams and partner organizations, establishes the standards others execute against, and mentors senior technical staff. Problem Solving Solves unique and ambiguous problems with broad enterprise impact where no established precedent exists. Requires conceptual and innovative thinking, and the judgment to distinguish problems that need a novel solution from those that need an existing standard applied consistently. Impact Impacts the direction, sequencing, and resource allocation of enterprise programs, platforms, and technology investments. Architectural decisions made in this role determine multi-year cost and capability across the data estate. Interpersonal Skills Communicates complex technical concepts to executive audiences with clarity and precision. Anticipates objections, negotiates competing priorities across business units, and persuades senior internal and external stakeholders toward enterprise outcomes over local ones. Qualifications Required Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling, replication/transformation flows, and BDC-to-lakehouse integration with platforms like Databricks Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures for custom extraction, transformation, and performance-tuned data logic Working knowledge of SQL and Python for pipeline development, validation scripting, and Datasphere/Databricks transformation logic Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing for building governed, reusable data services and APIs Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control for code-driven data models Hands-on experience building governed Databricks data products using Unity Catalog for access control, lineage, and cross-domain data sharing Experience designing and operating a semantic layer within Databricks (e.g., metric views, SQL warehouses, or equivalent) to serve consistent, governed metrics across BI and AI consumption tools Technical proficiency in Databricks - Delta Lake . click apply for full job details

Are you ready to unlock intelligence? If you don't think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we're looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others. About the Role: We are seeking a Forward Deployed Engineer (FDE) to join Kong's growing Professional Services organization. This is a highly strategic, customer-facing engineering role focused on helping enterprise customers accelerate adoption of Kong's API and AI Connectivity platform through hands-on implementation, automation, migration tooling, and solution engineering. As an FDE, you will work directly alongside customer engineering teams to solve complex technical challenges, accelerate migrations, build reusable automation, and deliver production-grade solutions in real-world enterprise environments. You will operate at the intersection of software engineering, architecture, platform engineering, and customer delivery. This role is ideal for engineers who enjoy building, coding, solving ambiguous problems, and working directly with customers on mission-critical initiatives involving APIs, AI gateways, service connectivity, modernization, and cloud-native platforms. You will collaborate closely with Solutions Architects, Engagement Managers, Product Engineering, Customer Success, and Product teams to ensure successful customer outcomes while also influencing Kong's product direction based on field experience. Working at Kong is a unique opportunity to make a massive impact on Fortune 50/500 customers as they modernize mission-critical systems for the AI era. What's in it for you? Impact Work directly with some of the world's largest enterprises to modernize API infrastructure and accelerate AI adoption through Kong's connectivity platform. Growth Accelerate your technical and professional growth through exposure to cutting-edge cloud-native technologies, distributed systems, AI connectivity, automation frameworks, and large-scale enterprise architectures. Opportunity Be part of a rapidly growing Professional Services organization that is shaping how enterprises adopt APIs, AI gateways, and modern connectivity platforms globally. What You'll Do: Partner directly with enterprise customers to design, build, and implement Kong-based solutions across cloud, hybrid, and on-premise environments. Lead hands-on implementation efforts for API gateways, AI gateways, service mesh, developer portals, and related connectivity technologies. Build automation frameworks, migration tooling, custom integrations, and reusable accelerators to simplify customer adoption and modernization efforts. Drive migration initiatives from legacy API management platforms to Kong. Work closely with customer developers, platform teams, architects, security teams, and executives to solve complex technical and operational challenges. Develop production-grade code, scripts, plugins, CI/CD integrations, Kubernetes automation, and infrastructure tooling as part of customer engagements. Collaborate with Kong Product and Engineering teams to influence roadmap priorities based on real-world customer feedback and implementation learnings. Create reusable best practices, technical assets, reference architectures, documentation, and design patterns to scale delivery excellence across the organization. Support strategic customer initiatives involving AI connectivity, governance, platform modernization, and cloud-native transformation. What You'll Bring: Experience 8+ years in customer-facing engineering, platform engineering, professional services, site reliability engineering, or software engineering roles. Strong hands-on software engineering and implementation experience. Experience with API gateways, API management, integrations, or distributed systems platforms. Strong Kubernetes and cloud-native infrastructure expertise. Experience building automation frameworks, deployment tooling, CI/CD pipelines, or migration tooling. Strong proficiency in Linux, networking, cloud infrastructure, and DevOps practices. Experience with major cloud providers including AWS, Azure, or GCP. Programming experience in languages such as Python, Go, Java, JavaScript, or Lua. Experience with Infrastructure-as-Code and automation tooling such as Terraform, Helm, Ansible, or GitOps frameworks. Prior experience working in API Management, Open Source, Middleware, SaaS, or Infrastructure software companies is highly preferred. Preferred Attributes: Strong builder mindset with the ability to solve complex technical problems with minimal supervision. Comfortable operating in ambiguous, fast-moving enterprise environments. Passion for working directly with customers and delivering measurable business outcomes. Excellent communication and collaboration skills across technical and executive audiences. Highly organized with strong prioritization and execution skills. Passion for innovation, modern infrastructure, APIs, AI, and cloud-native technologies. Team-oriented with a strong sense of ownership and accountability. About Kong: Kong Inc., the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500 and AI-native startups alike, Kong's unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic - on any model, any cloud. For more information, visit .

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world's top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. About The Role As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won't just build and deploy - you'll drive the strategy, architecture, and execution of end-to-end systems, working directly with clients. This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate. The team is increasingly focused on applied AI work - building and deploying LLM-powered and agentic systems in production - so strong ML engineering instincts can be a valuable addition alongside your architecture and leadership experience. What You'll Do Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions, including LLM and agentic systems Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability - including for ML/AI-specific systems like RAG pipelines and production-grade AI applications Own projects from first discovery call through full deployment - including client-facing delivery, internal coordination, and post-launch iteration Build shared infrastructure, reusable components, and internal playbooks to level-up the team, including MLOps practices for model versioning, monitoring, and lifecycle management Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible What We Need 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems, including LLMs and AI Agents Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS, Azure) Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes ML Operations (for teams with an applied AI/ML focus): Experience with MLOps frameworks and best practices - model versioning, monitoring, and lifecycle management - and designing scalable ML systems such as RAG pipelines Strong product and system design instincts - you understand business needs and how to translate them into technical architecture Experience building usable systems from messy data and ambiguous requirements Excellent communication and client-facing skills; you've led conversations with technical and non-technical stakeholders alike Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments Strong engineering background demonstrated by a Bachelor's degree in Data Science, Computer Science and related fields OR equivalent professional experience Be willing to be on-call for our customers when situations arise Travel: Willingness to travel for on-site client engagements as needed Onsite: Available to work from the office a few days per week, depending on team needs - some NYC-based teams require 3 days per week onsite; your specific requirement will depend on the team you're placed with What's In It For You Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. The annual salary range for this position, depending on level, is: $250,000 - $300,000 USD You can find more information about our geographic pay tiers here. During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. Bonuses and equity are included in all full-time offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it. We operate at the intersection of advanced AI and human ingenuity, pushing the boundaries of what's possible to unlock productivity and scale. Ownership is at the core of everything we do. Here, you won't just execute tasks-you'll build, innovate, and shape the future alongside world-class clients pushing the boundaries of AI. We expect bold ideas, relentless drive, and the ability to turn ambiguity into opportunity. The pace is fast, the challenges are big, and the growth is unmatched. We're not for everyone, and we're okay with that. If you're looking for predictable routines, this isn't the place for you. But if you're driven to create, thrive in dynamic environments, and want a front-row seat to the AI revolution, you'll fit right in. Country Hiring Guidelines: Invisible is a hybrid organization with offices and team members located around the world. While some roles may offer remote flexibility, most positions involve in-office collaboration and are tied to specific locations. Any location-based requirements or hybrid expectations will be communicated by our Talent Acquisition team during the recruiting process. AI Interviewing Guidelines: Our hiring team thoughtfully uses AI to support an efficient, engaging, and inclusive interview process. Since AI can also be a helpful tool for candidates, we've outlined expectations for using it ethically throughout your interview journey. Click here to learn more about how we use AI and our guidelines for candidates. Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you require an accommodation to participate in the application or interview process, please submit your request using our accommodation request form. A member of our team will follow up to support your request. Here is the link the google form: Equal Opportunity Statement: We're an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law. Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on response to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us.

P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space 3+ years working in a pre sales capacity or supporting sales activity Technical in big data, data science and cloud An ability in data-driven business transformation, and driving change with data 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space 3+ years working in a pre sales capacity or supporting sales activity Technical in big data, data science and cloud An ability in data-driven business transformation, and driving change with data 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-256 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with 1-5 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, with a close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space 4+ years working in a pre-sales capacity or supporting sales activity Technical in big data, data science, and cloud An ability in data-driven business transformation and driving change with data 4+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala, or Java Nice to have: Databricks Certification LI Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-256 We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with 1-5 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, with a close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space 4+ years working in a pre-sales capacity or supporting sales activity Technical in big data, data science, and cloud An ability in data-driven business transformation and driving change with data 4+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala, or Java Nice to have: Databricks Certification LI Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Crunchyroll Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it's powered by the anime content we all love. Join our team, and help us shape the future of anime! About the role Crunchyroll is growing and evolving, creating both new opportunities and new challenges as it protects millions of anime fans worldwide while still shipping quickly and with high quality. We are looking for a security leader who wants to shape how engineering builds and operates securely at scale. In this Principal-level, hands-on Director role reporting to the VP of Information Security, you will connect strategy to execution by turning security goals into secure-by-default, compliant systems and practices that teams actually use. You will partner closely with engineering leaders and senior ICs to reduce friction, align on priorities, and drive consistent follow-through, protecting our fans and our platform without sacrificing delivery velocity. Success will be through influence and enablement, and you will also periodically build practical solutions, such as reference implementations and tooling integrations, that make it easier for teams to adopt the right security patterns. Core Areas of Responsibility In this role, you will be a force multiplier for engineering, setting the direction, building key parts, and ensuring follow-through so security becomes a durable part of how Crunchyroll ships. You will own the engineering-facing mechanisms that make security real in day-to-day delivery: Security execution at scale: Drive adoption of security controls across engineering by driving adoption of clear engineering playbooks, paved paths, and secure-by-default platform capabilities that can be consistently adopted across services, regardless of engineering domain. Engineering teams remain accountable for design, implementation, operation, and remediation of their services. This role provides security strategy, guidance, tooling, visibility, coordination, and escalation mechanisms that enable teams to meet those obligations consistently at scale Vulnerability closure and systemic risk reduction: Facilitate the operating rhythm across engineering for vulnerability intake, triage, tracking of vulnerability ownership, SLAs, remediation planning, verification, and escalation. Establish systems and processes that ensure timely fixes and eliminate repeat issues through improvements. Tooling integration and evidence readiness: Coordinate with engineering teams to integrate enterprise security tooling into CI/CD and production environments, and ensure engineering can reliably produce evidence of compliance in a low-friction, automated way. Design-time security embedded in engineering workflows: Ensure threat modeling and security architecture considerations are built into how engineering designs and ships using approved patterns and reference architectures as the default starting point. Pragmatic requirements shaping: When requirements are infeasible or disproportionately costly, you'll drive early escalation and propose alternatives (sequencing, compensating controls, platform changes) so we maintain momentum without accepting unmanaged risk. Cross-team alignment and escalation: Identify cross-domain architectural risks and drive alignment / decision-making through established engineering leadership and architecture governance processes, bringing the right stakeholders together and escalating when tradeoffs require executive judgment. Incident readiness and closure: Improve security incident preparedness in engineering (runbooks, exercises, detection hooks) and ensure post-incident actions translate into durable engineering improvements. Partner with Global Security for execution: Serve as the primary engineering counterpart to Global Security, translating enterprise policies, controls, tooling, and compliance requirements into recommendations or actionable insights that are adoptable engineering practices, and feeding back where standards need better patterns, automation, or sequencing to scale. What success looks like Success in this role is not about managing security reviews, success is measurable engineering outcomes: Drive enterprise-wide adoption of Security and Privacy by Design, ensuring security, privacy, and compliance requirements are proactively integrated into products, services, and technology platforms Security controls are implemented broadly with minimal friction because the secure path is well defined Vulnerabilities have clear owners, predictable remediation, and decreased recurring issues Success in this role is about partnering with Engineering teams on security initiatives and enabling them to be effective with an understanding that Engineering teams have clear ownership of platforms and will be accountable for them About You We get excited about candidates like you, because You have 12+ years of progressive experience in information security, application security, cloud security, or software engineering, including significant experience leading enterprise-scale security initiatives through technical influence rather than direct authority. You exhibit Principal-level technical leadership with a proven track record of leading cross-team security initiatives through influence, clarity, and shipping real systems-not just policies. You possess strong application security fundamentals such as: authn/authz, session security, secure API design, data protection, threat modeling, and secure SDLC practices. You have pragmatic risk management, with the ability to prioritize, quantify tradeoffs, and create guardrails that teams actually adopt. You have cloud & platform security experience such as: IAM concepts, secrets management, key management, service-to-service auth patterns, and logging/detection fundamentals. You possess a DevSecOps and automation mindset and have experience integrating security checks into CI/CD with minimal developer friction. You exhibit depth in vulnerability management, knowing how to triage, develop remediation strategies, verify fixes, all while partnering with teams to close the loop quickly. You possess excellent communication skills that include concise, executive-ready writing and strong technical coaching abilities for engineers. You meet people where they are and endeavor to build intrinsic motivation to develop solutions to problems through shared understanding. Preferred, but not required: Experience with streaming/media security and DRM ecosystems and output protection concepts. Experience with mobile and device ecosystems (iOS/Android/TV devices), including secure storage patterns and platform attestation. Familiarity with reverse engineering tools and client hardening/anti-tamper approaches. Exposure to privacy/security compliance partnerships (GRC) and working with legal/product on policy requirements. About the Team Crunchyroll's Security team is focused on partnering with teams across the organization to provide secure solutions and protect company assets as we serve the Anime community. We provide Security, GRC (Governance, Risk, and Compliance), Data Privacy, and Network Infrastructure services to the enterprise. Everyday we have an opportunity to make a positive impact while being at the center of innovative initiatives. If you are looking to join a team where you will make a difference, we would love to hear from you. Why you will love working at Crunchyroll In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks: Receive a great compensation package including salary plus performance bonus earning potential, paid annually. Flexible time off policies allowing you to take the time you need to be your whole self. Generous medical, dental, vision, STD, LTD, and life insurance Health Saving Account HSA program Health care and dependent care FSA 401(k) plan, with employer match Employer paid commuter benefit Support program for new parents Pet insurance and some of our offices are pet friendly! The Pay Range for this position is listed. Actual pay will vary based on factors including, but not limited to location, experience, and performance. The range listed is just one component of Crunchyroll's Total Rewards offerings for employees. Other rewards may include performance bonuses, employer matched retirement savings, time-off programs, and progressive health benefits and perks. Pay Transparency - Los Angeles, CA $249,000-$305,000 USD About our Values We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value Courage. We believe that when we overcome fear, we enable our best selves. Curiosity. We are curious, which is the gateway to empathy, inclusion, and understanding. Kaizen. We have a growth mindset committed to constant forward progress. Service . click apply for full job details

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're looking for a Field Application Engineer who's wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. 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 You've lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to "just work." You speak both machine and human. Whether it's a researcher or a skeptical executive, you know how to break things down and bring them to life. You're fired up about generative models, LLMs, and the edge of what's possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Your field insight will help shape our roadmap, our features, and the way we show up for developers. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. Experience with embedded systems, FPGA Architecture or AI accelerators. Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn How to explore and push the boundaries of AI performance on custom silicon and help developers do the same. What it's like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. 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.

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're looking for a Field Application Engineer who's wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. 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 You've lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to "just work." You speak both machine and human. Whether it's a researcher or a skeptical executive, you know how to break things down and bring them to life. You're fired up about generative models, LLMs, and the edge of what's possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Your field insight will help shape our roadmap, our features, and the way we show up for developers. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. Experience with embedded systems, FPGA Architecture or AI accelerators. Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn How to explore and push the boundaries of AI performance on custom silicon and help developers do the same. What it's like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. 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.

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're looking for a Field Application Engineer who's wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote based out of North America with preference near one of our main hubs Santa Clara, CA; Boston, MA; or Toronto,ON. 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 You've lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to "just work." You speak both machine and human. Whether it's a researcher or a skeptical executive, you know how to break things down and bring them to life. You're fired up about generative models, LLMs, and the edge of what's possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements. What We Need Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Your field insight will help shape our roadmap, our features, and the way we show up for developers. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow. Experience with embedded systems, FPGA Architecture or AI accelerators. Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management. What You Will Learn How to explore and push the boundaries of AI performance on custom silicon and help developers do the same. What it's like to build the future from scratch, working alongside teams creating hardware, software, and everything in between. To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale. An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum. 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.