Amazon · 15 hours ago
Principal Tech Product Manager, Agentic AI Workflows, Annapurna Labs
Amazon is seeking a Principal Technical Product Manager to drive the product strategy for agentic AI systems at AWS Neuron. The role involves owning the end-to-end product experience for workflows that leverage generative AI, enabling customers to optimize and tune ML models with minimal manual intervention.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Drive and execute product strategy and roadmap working backwards from customer requirements in collaboration with engineering technical leadership
Assess technical implications of product architecture and optimization decisions
Drive technical alignment across Neuron components, Neuron workflows and dependencies
Work directly with software engineering teams to define and execute on new features
Produce clear and concise documents such as PRFAQ and PRD documents
Write user stories, and validate features meet developer needs
Drive feature discussions with customers, engineering, and other stakeholders
Anticipate bottlenecks, manage risk and escalations, balancing technical constraints
Find opportunities to innovate on behalf of our customers, design features related to these opportunities, and always push to improve our product developer experience
Build ecosystem partnerships and stay connected with industry trends
Represent the product in relevant industry events
Qualification
Required
Bachelor's degree
10+ years of industry experience with at least 5+ years in Technical product management and 3+ years of software development
Experience with technical product management for AI/ML platforms, developer tools, or automation systems
Demonstrated experience with LLM based applications, including prompt engineering, agent architectures, or AI assisted tooling
Experience defining metrics and success criteria for AI/ML products
Excellent written and verbal communication abilities
Preferred
Experience with agentic AI systems (multi agent orchestration, tool use, autonomous workflows)
Knowledge of ML model architectures (transformers, attention mechanisms, mixture of experts models)
Experience with model optimization techniques (quantization, sharding, speculative decoding)
Familiarity with ML frameworks (PyTorch, JAX) and model hubs (Hugging Face)
Experience with data platforms or knowledge management systems
Understanding of reinforcement learning concepts and post training pipelines
Experience with developer tools and IDE integrations
Exposure to compiler technologies, kernel development, or hardware acceleration
Track record of driving open source projects or ecosystem partnerships
Experience operating in early stage, ambiguous environments with startup like velocity
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Recent News
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2026-02-04
2026-02-04
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