About this role
Are you passionate about leveraging evolving LLM technology to solve one of Amazon's most fundamental challenges? Do you want to be building the platform that processes over 5 billion customer interactions annually and transforms months of technical work into minutes? As the Principal Product Manager - Technical (PMT) for the Customer Anecdote Miner [CAM] Platform (winner of the 2024 All Amazon Global Door Desk Award), you'll shape the future of how Amazon teams understand and act on customer feedback at unprecedented scale.
We are looking for a Principal PMT who thrives on solving ambiguous, high-impact problems and turning them into clear product strategies that deliver meaningful results at scale. In this role, you will own a multi-year product vision, shape technology investments, and drive cross-organizational alignment to launch products that customers love. You will partner closely with engineering, design, science, and business teams to deconstruct complex challenges into elegant solutions — all while keeping the customer at the centre of every decision. If you are a strategic thinker with deep technical curiosity, a talent for influencing without authority, and a track record of delivering products that matter, we want to hear from you.
Key job responsibilities
- Own and drive a multi-year product vision and strategic roadmap, setting direction in ambiguous spaces where the problem, opportunity, and strategy may not yet be defined.
- Lead large, complex product initiatives end-to-end with independence — from concept through launch, scale, and iteration — making high-judgment trade-off decisions with long-term platform and business implications.
- Partner as a technical peer with engineering, applied science, and design teams to evaluate architecture proposals, identify trade-offs others may miss, and ensure solutions are extensible, scalable, and aligned with strategic goals.
- Drive alignment across multiple organizations by influencing senior stakeholders, resolving prioritization conflicts, and building strategic partnerships that shape investment decisions and shared objectives.
- Design experimentation frameworks and define success metrics that distinguish between output and outcome measures, using data, customer research, and emerging technologies including generative AI to accelerate learning and validate product hypotheses.
A day in the life
- You'll operate at the intersection of evolving ML technology and real-world business impact.
A typical day might include
- 1) Working closely with Amazon teams to understand their feedback analysis needs, and onboarding them as users of CAM
- 2) Defining platform features and requirements for upcoming releases
- 3) Collaborating with ML Scientists and Engineers to build and optimize our offerings
- 4) Analysing platform metrics to identify performance optimization opportunities
- 5) Contributing to technical design reviews for new features
- 6) Reviewing customer feedback and usage patterns to guide product evolution