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, Reverb, 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:

What’s the role?

We are looking for a Staff 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. 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 or in the San Francisco Bay Area 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.

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

• Work closely with fellow 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.

• Co-organize research/paper-reading group to stay up to date with the latest trends and advancements in search technologies, information retrieval, and machine learning to guide team strategy and innovation.

What does the day-to-day look like?

• Lead product strategy and roadmap definition for the team.

• 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.

• Collaborate within the Search org and more widely across Etsy to drive forward Etsy’s global strategy on Retrieval.

• 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.

• 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:

• You have 5+ years of Product Management or comparable experience.

• Proven experience  in information Retrieval space

• Strong communication skills, with the ability to work cross-functionally; explain technical concepts to non-technical stakeholders.

• 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 team oriented, collaborative, and committed to facilitating the contribution of diverse perspectives and skills to achieve the best possible outcomes.

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

• You consistently use data and insights to identify the right path forward and make decisions that increase return on our investments.

• You are highly motivated to help the team succeed and work with urgency and creativity to build clarity, resolve blockers, and realize impact.

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

• Your enthusiasm and passion for learning and improving are contagious which shows through your experience empowering others to grow!

Additional Information

What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.

Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.