We're building AI and computer vision systems that protect over 1.5 million people at work every day, and we need a senior technical leader to drive this mission forward.
As a Senior Technical Program Manager on our Workplace Health & Safety Data-Tech team, you will own the strategy and delivery of large-scale programs that apply computer vision, machine learning, and generative AI to detect, analyze, and prevent workplace safety incidents across Amazon's global operations. You'll partner with applied scientists and software engineers to take research from prototype to production, define the technical roadmap, and deliver measurable safety outcomes.
This role is for someone who thrives in ambiguity, has deep fluency in AI/ML systems, and can lead multiple engineering and science teams through complex technical challenges. You'll influence investment decisions, author organizational strategy documents, and communicate directly with senior executives. If you're passionate about using technology to make people's lives safer, and you love the intersection of advanced science and real-world impact, this is the role for you.
Key job responsibilities
Own program strategy, roadmap, and end-to-end delivery for computer vision and AI-powered safety initiatives spanning multiple engineering and applied science teams
Partner with applied scientists and ML engineers to translate research into production-grade systems, managing the unique complexities of model development, validation, and deployment at scale
Define and manage technical dependencies across computer vision pipelines, edge inference infrastructure, IoT systems, and cloud services
Identify risks early, develop mitigation plans, and make high-judgment tradeoff decisions that balance innovation speed with system reliability
Author organizational strategy documents, build investment cases, and communicate program outcomes to senior executives
Establish metrics and mechanisms to measure the real-world safety impact of AI/ML solutions, and drive continuous improvement
Build scalable program management mechanisms that improve delivery quality and predictability across the science and engineering portfolio
Influence and align cross-functional stakeholders across safety, operations, and central technology teams to drive coordinated delivery and adoption
About the team Amazon's Workplace Health & Safety (WHS) organization is responsible for keeping over 1.5 million employees safe across our global retail operations. Within WHS, our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale.
We're a cross-functional organization of software engineers, applied scientists, data engineers, and program managers who develop computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace safety incidents. Our customers are the safety professionals and operations leaders who protect employees on the ground every day, and we build the tools that give them real-time visibility, automated insights, and the ability to proactively mitigate risks before incidents happen.
We move fast, think big, and care deeply about impact. Our culture values technical depth, scientific curiosity, and a bias for action. You'll work alongside world-class researchers and engineers, ship products that reach millions of employees, and see the direct connection between your work and people going home safe every day.
Basic Qualifications
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- 5+ years of software development experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Bachelor's degree in Engineering, Computer Science, or a related technical field
Preferred Qualifications
- 8+ years of hands-on work managing complex technology projects experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience influencing at all levels within an organization, particularly at the executive level
- Master's degree or equivalent in computer science, machine learning, engineering, or related fields
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.
USA, TN, Nashville - 168,100.00 - 227,400.00 USD annually USA, VA, Arlington - 177,000.00 - 239,400.00 USD annually USA, WA, Bellevue - 177,000.00 - 239,400.00 USD annually