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Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

AI Engineer 5 (Gen AI Platform Services - Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details

AI Engineer 5 (LLM Gateway, FM Hosting) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details

AI Engineer 5 (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities . click apply for full job details

AI Engineer 5 (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 4 (AI Foundations, VLM Customization) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

POSITION: Quality Assurance Engineer DEPARTMENT: Quality REPORTS TO: Quality Manager LOCATION: Covington, KY (onsite location) FLSA STATUS: Exempt (Full-Time) Job Summary The Quality Assurance professional at Atkins & Pearce will support the Quality Manager in maintaining and improving the Quality Management System (QMS). This role focuses on process monitoring, root cause analysis, training, and driving data-driven improvements to ensure consistent quality across products and processes. The ideal candidate will emphasize preventive quality measures, empower cross-functional teams, and help address persistent quality challenges. Key Responsibilities Support QMS Development and Maintenance: Assist with maintaining and improving QMS processes, ensuring alignment with industry standards (e.g., ISO 9001). Support documentation updates and help transition systems to meet process-dependent standards. Analytical and Problem-Solving Support: Assist with investigating recurring quality issues using structured problem-solving tools (e.g., 5 Whys, FMEA). Focus on root-cause analysis to prevent defects and improve long-term process reliability. Training and Documentation Expertise: Collaborate with the Quality Manager to develop standardized work instructions, SOPs, and user-friendly quality aids to support a less-experienced workforce. Data-Driven Quality Monitoring: Collect and analyze quality metrics to identify trends, generate insights, and support continuous improvement initiatives. Monitor KPIs and participate in improvement projects to reduce defects, waste, and rework. Team Empowerment: Support production teams through coaching and guidance on quality checkpoints, ensuring operators understand their role in maintaining quality standards. Change Management Support: Assist in implementing process changes or new quality systems. Help motivate and train teams to adopt new processes effectively. Focus on Preventive Quality Measures: Emphasize upstream quality improvements by identifying potential risks before they occur, reducing reactive efforts and ensuring consistent performance. Qualifications Education: High school diploma or equivalent required; associate or bachelor's degree in a relevant field is a plus. Experience: 2-3 years of experience in quality assurance, manufacturing, or a related role. Skills: Familiarity with quality systems (e.g., ISO 9001) and process improvement tools. Analytical mindset with the ability to collect and interpret quality data. Strong documentation and communication skills for training and SOP development. Ability to collaborate with cross-functional teams to resolve quality challenges. Basic understanding of problem-solving techniques like 5 Whys, root cause analysis, or FMEA. Physical Requirements Ability to stand, walk, and move around in a manufacturing environment as needed. Occasionally required to lift or move objects up to 25 pounds. Comfortable working in an environment with exposure to noise, chemicals, and machinery. Work Environment The Quality Assurance professional will primarily work in an office setting within the manufacturing facility, with regular visits to the production floor for audits, inspections, and team training. Atkins & Pearce is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. We encourage all people to apply regardless of age, gender, gender expression or criminal conviction history. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Atkins & Pearce makes hiring decisions based solely on qualifications, merit, and business needs at the time PI5d5fd1dd07da-8803

Enterprise Bank & Trust is seeking a Sales Reporting Analyst to deliver accurate, actionable sales and revenue reporting across commercial and retail lines. In this role, you'll consolidate data from CRM and core banking systems, build dashboards, and analyze trends to support relationship managers, leadership, and product teams. You'll track KPIs, pipeline performance, and incentive metrics, providing insights that guide strategic decisions. Collaborating closely with sales, finance, and operations, you'll help optimize growth, support community-focused initiatives, and enhance relationship-driven banking through clear, meaningful analytics. Responsibilities Develop, maintain, and distribute recurring sales and revenue reports for commercial and retail banking channels. Aggregate and validate data from CRM, core banking, and other systems to ensure accuracy and consistency of sales metrics. Design and update dashboards to track KPIs, pipeline health, and incentive performance for relationship managers and leaders. Analyze trends in sales activity, product performance, and customer segments to identify growth opportunities and risks. Partner with sales, finance, and operations to define reporting requirements and improve measurement of strategic initiatives. Support incentive plan tracking and modeling by providing detailed performance data and scenario analysis. Prepare clear visualizations and presentations that translate complex data into actionable insights for non-technical stakeholders. Contribute to process improvements and automation of reporting workflows to increase efficiency and data reliability. Required Skills Sales performance analysis Financial and revenue reporting CRM and core banking data extraction Advanced Excel and data modeling Business intelligence tools (Tableau/Power BI) SQL for reporting and analysis Forecasting and pipeline analytics KPI and dashboard development Data visualization and storytelling Stakeholder communication and presentation

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. The AWS Hardware Engineering team creates server designs for Amazon's innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The AWS Firmware team drives system innovation in the servers used by all of Amazon Web Services, including EC2, S3, CloudFront, etc. Our engineers solve the hardest problems that fuse software, hardware, and the cloud. We take big bets on new concepts, enabling AWS services to continue to revolutionize the industry. We are looking for an Embedded Software Development engineer to build and own the server related firmware. As an embedded software development engineer in this team, you will work with a team of world-class software developers who thrive on creating innovative, scalable solutions for real-world data center infrastructure problems. You will be part of development efforts to build, validate, and support firmware in diverse technology domains from embedded software to large-scale distributed software systems, using proprietary and open source technologies. Why it matters Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it You will work with engineers across the company to build software for the next-generation platform. You will have a direct impact on our bottom line and the ability to deliver improvements for our developers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities Server Baseboard Management Controller (BMC) Software. Scripting language development. Data Center Operation Support. Linux driver development. A day in the life As an experience Senior Software Development engineer, you will build and own the server related firmware. As a Senior Engineer in this team, you will work with a team of world-class software developers who thrive on creating innovative, scalable solutions for real-world data center infrastructure problems. You will be part of development efforts to build, validate, and support firmware in diverse technology domains from embedded software to large-scale distributed software systems, using proprietary and open source technologies. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ - Knowledge of system performance, memory management, and parallel computing principles - Bachelor's degree or equivalent PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in Computer Science, Engineering, Mathematics, or a related field - 3+ years of embedded firmware development experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, TX, Austin - 143 400.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The AWS Infrastructure group is responsible for procuring, setting up and operating all AWS infrastructure. This includes data center setup, equipment purchase, installation and operation of servers with power and cooling, inventory management and other such decisions. The supply chain planning group within AWS infrastructure is building a new suite of tools to automate all AWS supply chain planning. We are responsible for tactical decision making such as data center operations, demand fulfillment, replenishment, as well a long term decision making like inventory management, network design and others. The solutions we develop are scalable to sustain rapid AWS growth, and also flexible to support the evolving AWS supply chain. We are looking for a high caliber Senior Software Development Engineer who wants to work on challenging, high impact problems. The services we own are responsible for billions of dollars in spend, resulting in us having a huge opportunity to move the needle in a positive direction. The team has a strong group of senior engineering and science talent, so it will be a great place for someone to deliver results, while also learning and progressing their career. Key job responsibilities - Effectively mentor and manage a team of Software Development Engineers. - Drive operational excellence. - Contribute to and lead design, architecture, process and development discussions. - Argue for the right outcomes with data, conviction and diplomacy. - Build scalable mechanisms to audit and inspect highly cross functional initiatives spanning operations, supply chain specialists, software engineers. - Drive product strategy, roadmap, and stakeholder engagement. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 168 400.00 USD annually

This is an excellent opportunity to join Amazon's world class technical team in Herndon, VA, working with some of the best and brightest engineers and technical managers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies anywhere. Amazon Web Service is building some of the largest distributed systems in the world. Amazon's database offerings like Aurora, DynamoDB, EMR, OpenSearch, RDS, and Redshift are massively scaled services that make up a critical piece of the internet today. A successful Engineer joining the team will do much more than write code and triage problems. They will work with Amazon's largest and most demanding customers to address specific needs across a full suite of services. They will dive deep into technical issues and work diligently to improve the customer experience. The ideal candidate will: - Be great fun to work with. Our company credo is "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun. - Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues. - Love to code. Whether its building tools in Java or solving complex system problems in Python, the ideal candidate will love using technology to solve problems. You have a solid understanding of software development methodology and know how to use the right tool for the right job. - Think Big. The ideal candidate will build and deploy solutions across thousands of devices. You will strive to improve and streamline processes to allow for work on a massive scale. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active TS/SCI US Government Security Clearance PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, VA, Herndon - 143 400.00 USD annually

Description: Job Title: Consumer Lending Manager Department: Consumer Lending Reports to: Vice President of Consumer Lending Hours per Week: 40 hrs./week Salary Exempt Company Summary Welcome to Financial Plus Credit Union (FPCU) - 'The Place where it's Possible.' At FPCU, we believe in the power of collaboration, embrace inclusivity as a strength, and are driven by a shared commitment to success. Our community-centered approach goes beyond financial services; it's about fostering connections and making a positive impact. Join us, and be part of an environment that prioritizes wellness, encourages continuous learning, and opens doors to developing you into the person you want to be. Explore the opportunities that await you at FPCU - where you aren't just making a living but joining a PLACE where you can REACH your goals. Position Summary The Consumer Lending Manager is responsible for overseeing both the Consumer Loan Officer team, the Consumer Lending Operation Specialists, and the Loan Support Clerk, ensuring strong operational performance, underwriting consistency, member experience, and overall operational effectiveness. This role combines day-to-day leadership of lending and loan support staff with strategic oversight responsibilities focused on evaluating lending performance, identifying trends and opportunities, recommending operational improvements, and supporting initiatives designed to achieve organizational production, service, and portfolio growth goals while maintaining sound lending practices, operational consistency, and appropriate risk management. The Consumer Lending Manager works closely with the VP of Consumer Lending, Consumer Lending Processing Manager, Consumer Lending Systems Analyst, and other departments to support operational efficiency, process improvements, strategic initiatives, and organizational growth. This role balances production leadership, member service, operational collaboration, risk management, and employee development while ensuring compliance with all regulatory requirements. Essential Functions & Primary Responsibilities Oversee the Loan Officers, Consumer Lending Operations Specialists, and Loan Support Clerk, ensuring strong member experience, service consistency, operational effectiveness, underwriting quality, credit risk management and overall lending operational effectiveness. Provide leadership, direction, coaching, and performance management to lending and loan support staff while fostering a culture of accountability, collaboration, continuous improvement, and professional development. Support organizational consumer lending growth objectives through strategic leadership, operational analysis, production monitoring, and data-driven recommendations. Analyze lending production trends, pull-through ratios, application sources, operational performance, and portfolio growth opportunities to identify areas requiring improvement or strategic focus. Provide recommendations to senior leadership regarding operational changes, workflow improvements, staffing needs, product enhancements, promotional opportunities, service strategies, and process efficiencies to support organizational lending goals. Monitor loan application conversion metrics, funded loan ratios, turnaround times, productivity, and member experience trends to identify opportunities for improvement. Coach and develop team on underwriting consistency, operational effectiveness, product knowledge, member experience expectations, and lending best practices. Partner with internal departments to support lending knowledge, workflow alignment, operational consistency, and member experience throughout the lending process. Identify development opportunities and assist in preparing team members for increased responsibilities and future leadership opportunities. Assist with escalated lending decisions, exception requests, member concerns, and complex lending situations while balancing member experience, organizational policy, and risk management. Ensure lending decisions, exception handling, and operational processes are consistently documented and aligned with organizational policies, procedures, and risk tolerance. Partner closely with the Consumer Loan Processing Manager to ensure seamless workflow coordination, efficient handoffs, funding timeliness, and operational consistency throughout the loan lifecycle. Collaborate with Retail Delivery, Digital, Processing, Indirect Lending, Marketing, and other departments to improve workflows, reduce member friction, and enhance the overall lending experience. Participate in cross-functional projects and process improvement initiatives supporting consumer lending efficiency, scalability, and member service. Partner with the Consumer Lending Systems Analyst to identify operational inefficiencies, support workflow enhancements, participate in user acceptance testing, and assist with implementation and adoption of lending technology initiatives. Provide operational input and feedback regarding loan origination systems, workflow tools, automation opportunities, and process improvements. Monitor and manage departmental performance metrics including funded loan volume, application conversion, approval ratios, turnaround times, productivity, service standards, member experience, and portfolio trends. Utilize production reporting and operational analytics to identify performance gaps, process inefficiencies, and opportunities for growth, operational improvement, and enhanced member experience. Utilize reporting and analytics to identify trends, improve operational performance, and support strategic decision-making. Analyze lending performance, portfolio trends, operational data, and member experience feedback to identify opportunities for growth and improvement. Support strategic lending initiatives, promotional campaigns, and market growth efforts in partnership with senior leadership and marketing. Maintain and improve member service by ensuring inquiries, applications, and member issues are handled professionally, consistently, and promptly. Conduct quality reviews and audits to ensure lending accuracy, operational consistency, compliance, and proper documentation. Stay up to date on industry trends, lending laws, operational best practices, and product innovations to recommend improvements and new opportunities. Assist in budgeting, forecasting, and strategic planning for the consumer lending division. Work collaboratively with third-party vendors, partners, and internal stakeholders to support lending operations and organizational initiatives. Oversee the processing and management of title work, loan payoffs, release of liens, and UCC filings. Promote a positive team environment, encouraging collaboration and high-quality service. Ensure employees have the tools, materials, and training necessary for success. Ensures compliance with all federal and state laws and regulations, including the Bank Secrecy Act, Patriot Act, and Office of Foreign Asset Controls, and should request legal interpretation as necessary. Must ensure subordinates are also compliant with such laws and regulations. Must be bondable. Perform other duties as assigned. Requirements: Education & Qualifications Bachelor's degree in Finance, Business Administration, or related field; or equivalent work experience. 3 to 5 years of previous consumer lending experience with a proven performance record, with leadership or management experience preferred. Strong understanding of consumer lending regulations, underwriting principles, operational workflows, and member service expectations. Experience leading teams in a fast-paced lending environment focused on balancing growth, service, operational efficiency, and risk management. Experience working with loan origination systems, workflow automation, reporting tools, and lending technology platforms preferred. Strong communication, coaching, organizational leadership, and relationship-building skills. Ability to analyze operational data and utilize reporting to drive performance improvements and strategic decision-making. Candidate must have a thorough understanding of the Loan Policy and Guidelines. Candidate must be knowledgeable of Credit Unions product and services and demonstrate the ability to cross-sell and build deeper relationships with our membership. This position requires an understanding of basic computer skills including Microsoft 365 suite applications. Skills and Abilities Strong leadership and management skills with the ability to motivate, coach, and develop high-performing teams. Strong analytical and organizational skills with the ability to evaluate operational performance and make data-driven decisions. Exceptional problem-solving skills with a solution-oriented mindset. Detail-oriented with a strong focus on operational consistency, compliance, and member experience. Ability to handle multiple priorities in a fast-paced environment while meeting deadlines. Strong interpersonal, verbal, and written communication skills. Ability to build collaborative relationships across departments and effectively navigate operational challenges. Presents a positive and professional image to members and team members through effective and courteous verbal and written communications. . click apply for full job details

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: As a Technical Program Manager focused on Networking Capacity Delivery, you will own the end-to-end delivery of our data center network infrastructure. You will be responsible for translating network capacity forecasts and complex architectural designs into fully racked, cabled, and commissioned network fabrics. This highly visible role requires deep cross-functional leadership across Network Engineering, Network Architecture, Supply Chain, and Data Center Operations to solve deployment and topology challenges at hyperscale. Beyond delivering individual programs, you will be instrumental in designing the scalable, repeatable processes that define how we build our global network for the future. Drive the end-to-end execution of network deployments within new data center builds and live site expansions. Develop and manage comprehensive program plans for network fabric turn-ups, backbone deployments, and peering expansions, defining scope, schedules, milestones, and dependencies. Translate network capacity forecasts and stakeholder needs into actionable, technical program requirements for physical and logical infrastructure. Lead cross-functional execution with Network Engineering, Architecture, Data Center Design, and Supply Chain teams to mitigate risks to network delivery timelines. Develop and report on network deployment progress, risks, and key performance indicators (KPIs) to executive leadership and key stakeholders. Proactively identify and resolve complex technical issues related to hardware, optics, cabling, and turn-up automation. Establish and lead scalable processes and KPIs across network deployment and operations teams to improve efficiency and predictability. Who You Are: 10+ years of experience in technical program management or network engineering within a hyperscaler, cloud provider, or large-scale network environment. Direct experience managing the lifecycle of large-scale network deployments, including data center fabric builds, backbone expansions, or optical transport deployments. Deep understanding of data center network architectures and topologies, as well as the underlying technologies. Strong familiarity with the physical network stack, including structured cabling, optics, and hardware platforms from major vendors. Expertise in program management fundamentals and modern tools (e.g., Jira, Asana, PMP, etc.). Familiarity with data center construction milestones and how they impact network infrastructure deployment timelines. Demonstrated ability to lead and influence matrixed, cross-functional technical teams in a fast-paced, ambiguous environment. Exceptional communication skills, with the ability to articulate complex network deployment challenges and project plans to all levels of the organization. Ability to thrive in a fast-paced and dynamic environment, adapting to changing priorities and requirements. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $157,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description As a Technical Project Manager at OnLogic, you will manage the development of new industrial and rugged computers, edge systems, and servers. You will be responsible for driving cross-functional teams, managing budgets, and ensuring on time delivery of our innovative products. You will oversee all development stages, driving technical quality in electrical, mechanical, and firmware designs, and ensuring all products meet stringent ruggedized design, regulatory compliance, and lifecycle management standards. We believe in the power of in-person collaboration and the benefits of a strong workplace community. Therefore, this role requires an onsite presence at our South Burlington, VT office. We encourage candidates who are able to relocate or comfortably commute to apply. In this role, you'll be responsible for: End-to-End Program Leadership: Driving development projects from initial concept through prototype build, validation, and ultimately to production, utilizing a structured gate-staged development process. Strategic Planning & Execution: Developing and managing comprehensive project plans for all engineering initiatives, including detailed schedules, budgets, sourcing, and prototype build strategies. Stakeholder Engagement: Cultivating strong relationships with diverse stakeholders and fostering collaboration with cross-functional teams, from senior leadership to highly specialized engineers. Risk Management: Taking ownership of project and portfolio risks, and proactively implementing mitigation strategies to minimize their impact. On-Time Delivery & Budget Control: Ensuring the timely execution of projects across all internal departments and external partners, while staying within the project development budget. Transparent Communication: Providing clear and consistent progress updates to both internal and external stakeholders throughout all phases of development. Continuous Improvement: Implementing process efficiencies and cross-functional standards, enabling faster development cycles and scalable product delivery. The team you will be joining: Our Engineering team creates our cutting edge industrial computers by finding innovative solutions on a daily basis. The Engineering team's success relies on collaboration, creative thinking and a commitment to being at the forefront of technology. Roles on our Engineering team include, Electrical, Mechanical, Applications and Regulatory. Learn more about Life at OnLogic: Requirements B.S. Degree in Engineering or Computer Science; a Master's degree is a strong plus. Demonstrable expertise in computer hardware, electrical design, mechanical engineering, and/or system integration. Excellent problem-solving, communication, risk mitigation, and time management skills. Ability to handle multiple projects and conflicting priorities. Experience with project management tools (e.g., Jira, Smartsheet) is a bonus. A detail-oriented, organized, and adaptable work style. Who we're looking for: We're seeking a Technical Project Manager who is a proactive problem-solver and a reliable driver of project success. You'll play a vital role in owning the lifecycle of technical projects, ensuring transparent progress reporting, and fostering strong alignment between our engineering teams and cross-functional stakeholders. This role requires a proven ability to keep projects on schedule and within budget, manage risks effectively, and smoothly coordinate with our external vendors and development partners. Who we are: OnLogic employees have the opportunity to shape our future and drive impactful change. We design and manufacture specialized edge computing solutions for companies all over the world, helping them to make the seemingly impossible possible. Our computers are designed to work where others fail, and it's our vision to be the first choice in edge computing. To make that vision a reality, we've built a team of ambitious problem solvers, guided by the company's core values of Open, Fair, Innovative, and Independent. We have an open office, open salaries, and strive to be fair and transparent in our decision making. We encourage input and feedback from every member of our team and look to improve ourselves and our business every single day. Diversity is an essential element of our core values. Not just respecting, but actively embracing a variety of backgrounds, life experiences, and opinions, helps us foster innovation, enhances our problem-solving capabilities, and promotes learning and engagement among the members of our team. We strongly encourage those with diverse backgrounds to apply. We are committed to providing a safe, inclusive, and harassment-free workplace for all employees. We do not tolerate any form of harassment, discrimination, or bias based on race, ethnicity, gender, sexual orientation, religion, disability, age, or any other protected characteristic. To learn more about our values, our mission and what it's like to work at OnLogic, visit Benefits The salary range for this role is $80,000 to $105,000. We determine final compensation based on discussions with applicants and their experience in similar roles. A competitive Salary based upon your experience and the requirements of the role A comprehensive Benefits package 401k Plan with 3% Employer Contribution An Annual Profit Share Bonus Paid Maternity & Paternity Leave, and Short & Long Term Disability Opportunity to Participate in our Employee Stock Purchase Plan A personal development plan created to help you (and us) grow

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: As a Technical Program Manager focused on Networking Capacity Delivery, you will own the end-to-end delivery of our data center network infrastructure. You will be responsible for translating network capacity forecasts and complex architectural designs into fully racked, cabled, and commissioned network fabrics. This highly visible role requires deep cross-functional leadership across Network Engineering, Network Architecture, Supply Chain, and Data Center Operations to solve deployment and topology challenges at hyperscale. Beyond delivering individual programs, you will be instrumental in designing the scalable, repeatable processes that define how we build our global network for the future. Drive the end-to-end execution of network deployments within new data center builds and live site expansions. Develop and manage comprehensive program plans for network fabric turn-ups, backbone deployments, and peering expansions, defining scope, schedules, milestones, and dependencies. Translate network capacity forecasts and stakeholder needs into actionable, technical program requirements for physical and logical infrastructure. Lead cross-functional execution with Network Engineering, Architecture, Data Center Design, and Supply Chain teams to mitigate risks to network delivery timelines. Develop and report on network deployment progress, risks, and key performance indicators (KPIs) to executive leadership and key stakeholders. Proactively identify and resolve complex technical issues related to hardware, optics, cabling, and turn-up automation. Establish and lead scalable processes and KPIs across network deployment and operations teams to improve efficiency and predictability. Who You Are: 10+ years of experience in technical program management or network engineering within a hyperscaler, cloud provider, or large-scale network environment. Direct experience managing the lifecycle of large-scale network deployments, including data center fabric builds, backbone expansions, or optical transport deployments. Deep understanding of data center network architectures and topologies, as well as the underlying technologies. Strong familiarity with the physical network stack, including structured cabling, optics, and hardware platforms from major vendors. Expertise in program management fundamentals and modern tools (e.g., Jira, Asana, PMP, etc.). Familiarity with data center construction milestones and how they impact network infrastructure deployment timelines. Demonstrated ability to lead and influence matrixed, cross-functional technical teams in a fast-paced, ambiguous environment. Exceptional communication skills, with the ability to articulate complex network deployment challenges and project plans to all levels of the organization. Ability to thrive in a fast-paced and dynamic environment, adapting to changing priorities and requirements. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $157,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description Job Title: Sr. Staff Technical Program Manager, ESS Location: San Francisco Bay area, CA Department: ESS Engineering Reports to: CTO Position Type: Full-time About the Company Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market. Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, SunPower, Fluence, and Enovix. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures. We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience. About the Role - Sr. Staff Technical Program Manager Peak Energy is looking for a Sr. Staff Technical Program Manager to lead the end-to-end development and delivery of our sodium-ion energy storage systems across hardware and software. Reporting to the CTO, this leader will serve as a key partner to the technical leadership team, helping translate company and product priorities into clear development plans, driving critical technical decisions, and ensuring risks and dependencies are surfaced and resolved early. You will build and lead a lean team of Technical Program Managers while remaining close to the work. The right candidate will be comfortable operating at multiple levels: shaping the overall product-development operating model, coaching TPMs, leading critical programs directly, and engaging deeply enough in technical discussions to improve the quality and speed of decision-making. What You'll Do (Responsibilities) Own integrated program execution from architecture and requirements through verification, industrialization, and customer delivery. Build, lead, and develop Peak's Technical Program Management team. Partner with the CTO and engineering leaders to translate product strategy into clear priorities, plans, milestones, and decisions. Drive system-level integration across ESS hardware, cells, software, firmware, manufacturing, supply chain, and field deployment. Lead cross-functional trade-offs involving performance, safety, reliability, cost, scope, schedule, and manufacturability. Establish clear requirements, interfaces, verification plans, release criteria, and program ownership. Identify and resolve technical, organizational, and schedule risks before they become critical. Provide clear, decision-oriented communication to executive leadership. Build lightweight, scalable program processes that improve execution without creating unnecessary bureaucracy. Step directly into critical or off-track programs when hands-on leadership is needed. What You'll Bring (Qualifications) Bachelor's degree in engineering, computer science, or a related technical field. 12+ years leading complex technical programs or product-development organizations. Experience taking hardware or software-enabled hardware products from concept through production. Experience building and leading teams of Technical Program Managers or equivalent technical leaders. Strong technical judgment across system architecture, requirements, integration, verification, and production readiness. Demonstrated ability to lead difficult trade-offs across technical and business constraints. Strong leadership and communication skills, with the ability to influence senior leaders and drive accountability without direct authority. Ability to operate across strategy, organizational leadership, and hands-on execution in a fast-paced environment. Eligible to work in the United States. Preferred Qualifications Experience in battery energy storage, electric vehicles, robotics, aerospace, industrial equipment, or another complex hardware industry. Familiarity with battery systems, embedded software, controls, power electronics, energy management systems, or grid integration. Experience in safety-critical, regulated, or reliability-intensive product development. Experience scaling products and organizations from early development through production and commercial deployment. Experience partnering closely with a CTO, VP of Engineering, or equivalent technical executive. Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you're excited about this role but your experience doesn't look perfect on paper, we still want to hear from you. Our Core Values Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality. Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability. Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making. Be a Good Person - Kindness, collaboration and teamwork. Compensation & Benefits The salary range for this role is $200,000-$260,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes: Flexible time off Comprehensive medical, dental, and vision coverage Strong 401(k) plan

Job DescriptionJob Description Diversified Services Network, Inc. (DSN) is seeking a full-time Senior IT Program Manager to join our team in your choice of our Peoria, IL or Chicago, IL facilities. We offer a hybrid work model, with 2 days per week of onsite work, full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk! Position Overview The Senior IT Program Manager will lead cross-functional project teams responsible for building software solutions that integrate common services across a broad application portfolio and other enterprise systems. This role is critical to ensuring that application integrations are built on modern technologies using industry-leading architecture patterns and security best practices, driving successful adoption across the organization. This is a project/program leadership role for a full lifecycle Project/Program Manager, not a standalone Scrum Master position. Key Responsibilities • Own successful completion of projects, ensuring they are delivered on-time, within budget, and error-free. • Manage the planning and execution of project team members across the full project lifecycle. • Develop and maintain the project charter, communications plan, metrics, reporting, and overall project plan and budget. • Support project teams from concept through prototype, pilot, implementation, and follow-up stages. • Build and maintain project management schedules, using professional tools and techniques for reporting, tracking, checklists, and scheduling. • Lead change management efforts and drive timely, effective decision-making. • Maintain detailed schedules reflecting affected components, functions, timelines, and cost impacts of changes. • Partner with team members across multiple functional disciplines and customers to establish completion dates. • Monitor project progress, proactively communicate issues to affected areas, and ensure appropriate steps are in place to meet schedules. • Recommend solutions and alternatives when project challenges arise. • Guide teams through the creation of project charters, including scope alignment and ways of working. Team & Collaboration • Collaborate with stakeholders and engineering teams located across the U.S., India, and Slovakia. • Partner closely with both engineering and technical product owners on each project. • Manage multiple teams and multifunctional members across business and engineering groups. • Typically manage 2-3 concurrent projects, with an annual volume of roughly 8-10 projects depending on Agile sprint frequency. • Work in an environment with challenging to very challenging project complexity. Requirements Education & Experience Required • 4-year college or university degree plus 10+ years of relevant experience, OR a Master's degree in a relevant field (e.g., Engineering, Business) plus 8+ years of relevant experience. • Resumes should list the month/year each degree was completed. • 8+ years of direct project management experience working with software engineering teams in an Agile Software Development methodology, alongside business partners and product managers, including full ownership from project inception. • Demonstrated experience leading end-to-end program management within a cross-functional matrix organization, with the ability to align teams and lead them to consensus. • Proven experience with project management fundamentals, including project charters, scheduling, and planning through successful completion. • A stable, progressive work history is preferred, generally reflecting a year or more of tenure per role. • 2+ years of experience with Azure DevOps (formerly VSTS) and Confluence. • Advanced knowledge of Excel, MS PowerPoint, and MS Project. • Experience leading large-scale organizational change management. • Demonstrated strategic thinking, alignment, and direction-setting skills. Preferred Qualifications • Certified Scrum Master (CSM), PMP, Change Management Certification, and/or Six Sigma Black Belt Certification. • Scrum Master experience in addition to core project/program management experience. • Experience working within large, enterprise-level organizations. • Experience with eCommerce applications or projects. • 2+ years of experience with Power BI. Soft Skills • Excellent interpersonal skills, with the ability to navigate sensitive issues and influence others inside and outside the department to take specific actions. • Strong project management, team leadership, analytical, and organizational skills, with the ability to multitask effectively. • Strong communication and presentation skills. Benefits • 401(k) • Dental insurance • Vision insurance • Disability insurance • Employee assistance program • Health insurance • Health savings account • Life insurance • Paid time off • Paid Holidays Follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! Compensation Expectations: $115,000-120,000 annually

Job DescriptionJob Description Diversified Services Network, Inc. (DSN) is seeking a full-time Senior IT Program Manager to join our team in your choice of our Peoria, IL or Chicago, IL facilities. We offer a hybrid work model, with 2 days per week of onsite work, full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk! Position Overview The Senior IT Program Manager will lead cross-functional project teams responsible for building software solutions that integrate common services across a broad application portfolio and other enterprise systems. This role is critical to ensuring that application integrations are built on modern technologies using industry-leading architecture patterns and security best practices, driving successful adoption across the organization. This is a project/program leadership role for a full lifecycle Project/Program Manager, not a standalone Scrum Master position. Key Responsibilities • Own successful completion of projects, ensuring they are delivered on-time, within budget, and error-free. • Manage the planning and execution of project team members across the full project lifecycle. • Develop and maintain the project charter, communications plan, metrics, reporting, and overall project plan and budget. • Support project teams from concept through prototype, pilot, implementation, and follow-up stages. • Build and maintain project management schedules, using professional tools and techniques for reporting, tracking, checklists, and scheduling. • Lead change management efforts and drive timely, effective decision-making. • Maintain detailed schedules reflecting affected components, functions, timelines, and cost impacts of changes. • Partner with team members across multiple functional disciplines and customers to establish completion dates. • Monitor project progress, proactively communicate issues to affected areas, and ensure appropriate steps are in place to meet schedules. • Recommend solutions and alternatives when project challenges arise. • Guide teams through the creation of project charters, including scope alignment and ways of working. Team & Collaboration • Collaborate with stakeholders and engineering teams located across the U.S., India, and Slovakia. • Partner closely with both engineering and technical product owners on each project. • Manage multiple teams and multifunctional members across business and engineering groups. • Typically manage 2-3 concurrent projects, with an annual volume of roughly 8-10 projects depending on Agile sprint frequency. • Work in an environment with challenging to very challenging project complexity. Requirements Education & Experience Required • 4-year college or university degree plus 10+ years of relevant experience, OR a Master's degree in a relevant field (e.g., Engineering, Business) plus 8+ years of relevant experience. • Resumes should list the month/year each degree was completed. • 8+ years of direct project management experience working with software engineering teams in an Agile Software Development methodology, alongside business partners and product managers, including full ownership from project inception. • Demonstrated experience leading end-to-end program management within a cross-functional matrix organization, with the ability to align teams and lead them to consensus. • Proven experience with project management fundamentals, including project charters, scheduling, and planning through successful completion. • A stable, progressive work history is preferred, generally reflecting a year or more of tenure per role. • 2+ years of experience with Azure DevOps (formerly VSTS) and Confluence. • Advanced knowledge of Excel, MS PowerPoint, and MS Project. • Experience leading large-scale organizational change management. • Demonstrated strategic thinking, alignment, and direction-setting skills. Preferred Qualifications • Certified Scrum Master (CSM), PMP, Change Management Certification, and/or Six Sigma Black Belt Certification. • Scrum Master experience in addition to core project/program management experience. • Experience working within large, enterprise-level organizations. • Experience with eCommerce applications or projects. • 2+ years of experience with Power BI. Soft Skills • Excellent interpersonal skills, with the ability to navigate sensitive issues and influence others inside and outside the department to take specific actions. • Strong project management, team leadership, analytical, and organizational skills, with the ability to multitask effectively. • Strong communication and presentation skills. Benefits • 401(k) • Dental insurance • Vision insurance • Disability insurance • Employee assistance program • Health insurance • Health savings account • Life insurance • Paid time off • Paid Holidays Follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! Compensation Expectations: $115,000-120,000 annually