Job Description

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.

Salary Range:

$164,000.00 - $212,000.00

What’s the role?

We are looking for a Senior Product Manager to lead our Search Retrieval team. 

You’ll partner with a dedicated cross-functional team including product, engineering, applied science, analytics, and research. You’ll develop and deliver a customer-centric product strategy that ensures we deliver the best and relevant search experience for our buyers. 

Are you motivated by building products that align with broader business strategies, especially when tackling complex problems like optimizing retrieval models to balance relevance and engagement in listings? How do you approach improving listing retrieval to ensure that surfaced results meet both business goals and user intent? If so, this could be the perfect match. 

This is a full-time position reporting to the Group Product Manager, Search Relevance. 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. This role requires your presence in Etsy’s Brooklyn Office once or twice per week depending on your proximity to the office. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub may be the first to be considered. Learn more details about our work modes and workplace safety policies here.

What’s this team like at Etsy?

Search Retrieval is a machine learning team under Search Relevance sub-initiative that strives to improve relevancy of search results for Etsy buyers across the globe. We apply the latest techniques from machine learning, natural language processing (NLP), and information retrieval research at Etsy’s scale. Here is a taste of some of the problems we are solving:

Use hybrid, lexical, and neural retrieval models to improve search relevance while also considering cross-border trades, nuances on different markets and query understanding.

Power Etsy’s Visual Search experience and meet buyer experience through improvements in multi-modal embeddings.

Work closely with ML engineers, backend engineers, scientists, and product managers to develop & test large scale experiments to improve relevance.

Ensure ML models meet buyer standards, latency SLAs at the scale of Etsy production traffic and launch live A/B experiments to test our hypotheses.

What does the day-to-day look like?

Lead product execution and roadmap definition for the team. How can we ensure that we deliver the best candidate set out of billions of potential listing variations? 

Collaborate across functions (Analytics, Design, Engineering, Research) to identify, prioritize, define, and execute on the right areas that will improve outcomes for customers and drive business impact for Etsy.

Contribute to team culture, health, and team success by identifying, advocating for, and taking action on areas of improvement. 

Analyze product performance metrics, gather user feedback, and champion improvements to enhance buyer experience and product effectiveness.

Stay informed of groundbreaking ML techniques and opportunities to expand and grow Etsy's Search Retrieval business impact. Influence the development of a unified scalable platform to deliver consistent and compelling experiences.

Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.

Qualities that will help you thrive in this role are:

ML expertise: Proven track record (3+ years) of building and optimizing ML-powered products, particularly in recommendations, search, or similar domains. Familiarity with retrieval systems, ranking algorithms and LLMs is a plus.

Strong bias for action and impact: A proactive demeanor with a passion for creative problem solving. Comfortable navigating ambiguity while maintaining focus on delivering results.

You are deeply customer focused and connect customer needs to business outcomes when finding opportunities for the team.

Experimentation proficiency: Strong foundation in A/B testing, including hypothesis formulation, results analysis and iteration to achieve measurable outcomes.

You have worked with Machine Learning engineers to prioritize, build, evaluate, and launch ML driven product solutions that address customer needs and deliver business impact.

You are committed to learning and growing. You are curious, and are willing to give and be receptive to the gift of feedback.