Member of Technical Staff, PMT Research, AGI Autonomy
About The Position
We’re a new research lab in San Francisco, currently focused on developing new foundational capabilities for enabling useful AI agents. We’re pursuing several key research bets that will enable AI agents to perform real-world actions, learn from human feedback, self-course-correct, and infer our goals. In particular, we are really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and generalizing agents to physical environments. Our work builds on that of Amazon’s broader AGI team, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). We’re a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where AI agents are the next playing field; the right research bets can reinvent what’s possible with AI. We’d love for you to join our new lab and build it from the ground up! The Product Manager - Technical role for the AGI Autonomy Lab focuses on defining and prioritizing tooling roadmaps that support data collection, model evaluation, and release processes, balancing custom builds. You will bridge research and engineering by translating complex technical needs from researchers into actionable product requirements, ensuring tools address real-world bottlenecks and scale workflows.
Requirements
- Deep proficiency in Large Language Models (LLMs), including hands-on implementation, prompt engineering, and integration into complex systems
- Ability to translate LLM capabilities into product roadmaps that accelerate research velocity
- Experience building products for technical audiences (e.g., AI/ML tools)
- Ability to thrive in ambiguous research environments
- Deep technical expertise and detailed understanding of neural networks, large language models, reinforcement learning, model evaluation, data annotation
- Experience building products for highly technical users
- Love for ambiguity and creating something new from scratch
- Outstanding ability to clearly articulate product vision and requirements in written documents
Nice To Haves
- Interest in AI agents - bonus if you’ve worked in the space (either formally or through side projects)
Responsibilities
- defining and prioritizing tooling roadmaps that support data collection, model evaluation, and release processes, balancing custom builds
- translating complex technical needs from researchers into actionable product requirements, ensuring tools address real-world bottlenecks and scale workflows
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
