Senior Product Manager, Machine Learning, Ads

Etsy•Brooklyn, NY

3d•Hybrid

About The Position

Etsy is looking for a Senior Product Manager to lead product strategy and delivery for Etsy's promoted recommendation experiences. The team’s work starts with a simple but demanding question: when a buyer is considering what to explore next, is the promoted listing we show a genuinely useful option? You will partner with engineering, applied science, analytics, and research to improve matching quality while protecting the buyer experience and creating sustainable business value. The immediate focus is promoted recommendations, but this is not a role that simply delivers a pre-set model roadmap. You will help identify the customer problems worth solving, determine how machine learning can help, and make evidence-based product decisions as the team’s priorities evolve. This is a full-time position reporting to the [manager’s job title]. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here.

Requirements

5+ years of product management experience, including ownership of a complex product area or portfolio.
Meaningful product experience with machine learning retrieval and ranking systems.
Experience in recommendations or search is strongly preferred.
Experience partnering directly with machine learning engineers, applied scientists, data scientists, and analysts on a production ML product.
Ability to begin with a customer problem and connect model behavior, product metrics, and experiment results to customer and business outcomes.
Strong judgment about the difference between a model or offline-metric improvement and a change that creates meaningful customer value.
Experience surfacing assumptions, designing proportionate tests, and changing direction when evidence disagrees.
Strong cross-functional communication and the ability to rally teams around shared outcomes and resolve tradeoffs.

Nice To Haves

Experience with advertising, marketplaces, or other two-sided platforms is a plus.

Responsibilities

Set product direction and a sequenced roadmap for retrieval and ranking capabilities in promoted recommendation experiences, starting from buyer needs rather than a pre-set technical solution.
Develop a deep understanding of the buyer’s decision-making journey, the recommendation experience, relevant data, and the business context to identify problems worth solving.
Partner closely with machine learning engineers, applied scientists, analysts, and researchers to define customer problems, assumptions, model objectives, and evaluation plans.
Lead discovery and experimentation using offline evidence, online experiments, and user research to make informed stop, pivot, or scale decisions.
Improve the system’s ability to retrieve and rank relevant promoted listings using listing, buyer, session, and behavioral signals while accounting for technical and marketplace constraints.
Work across Etsy to help unify organic and promoted recommendation experiences through shared capabilities.
Stay engaged through delivery, translating complex system behavior into clear product decisions, tradeoffs, and priorities.
Protect buyer quality and marketplace trust by evaluating whole-page and customer outcomes, not only isolated metrics.