Engineering Manager, Ads Search Quality

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:

$226,000.00 - $294,000.00

What’s the role?

Etsy is hiring an Engineering Manager to join our Ads ML group! We are looking for people leaders who are product and delivery-driven, and are passionate about making ML innovations in digital advertising to help improve the Etsy buyer/seller experience.

This is a fantastic opportunity for someone interested in building user-centric ML systems for a two-sided marketplace with 90+ million buyers, 5+ million sellers, and hundreds of millions of unique, handmade, vintage listings. Etsy sellers use Etsy ads for advertising their products and growing their business. Etsy Ads optimizes sellers’ budgets to advertise their listings in the places on Etsy where they perform best. The work on this team involves building machine learning systems to power the sponsored listing shown on Etsy including retrieval, ranking, and user engagement modeling on Etsy.com and the Etsy app.

This is a full-time position reporting to the Senior Engineering Manager, Ads. 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?

The team is a machine learning team in the Etsy Ads org that powers elements of our promoted listings product. We aim to increase the relevancy and user engagement for promoted results on Etsy.

• We use lexical, graph, and/or neural retrieval models to increase relevance

• We make the ad experience more personalized to a buyers journey and intent

• We ensure that the ads put in front of the right buyers at the right time to increase buyer engagement

• We maintain an ads funnel pipeline that scales for our 90+ million buyers and sellers

What does the day-to-day look like?

• Work cross functionally with product, analytics, and engineering leadership to understand buyer and seller needs to drive technical solutions

• Manage team of machine learning engineers and scientists through prototyping, optimizing, and implementing large-scale ML models and systems

• Foster a collaborative and high-performing engineering culture on your team through mentorship, development practices, and career growth opportunities.

• Work closely with other engineering teams to ensure alignment and integration with other services and platforms.

• 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:

• Master’s degree in computer science, engineering or a related technical field.

• Proven experience in software engineering, with a strong background in recommendation systems, information retrieval, or mach