Etsy · 18 hours ago
Senior Product Manager, Machine Learning - Ads
Brooklyn, NY
Full-time
Hybrid
Senior Level
$164K/yr - $212K/yr
5+ years expEtsy is the global marketplace for unique and creative goods, seeking a Senior Product Manager for their Ads platform to help sellers grow their businesses. The role involves leading product strategy, collaborating with engineers and data scientists, and working on machine learning-informed solutions to connect sellers with buyers effectively.
Consumer GoodsE-CommerceInternetRetailSales
Responsibilities
Lead product strategy and roadmap definition for key Ads problem spaces focused on helping sellers connect with buyers and grow their businesses
Work closely with engineers (full-stack and machine learning), applied scientists, and analytics to break down ambiguous problems, surface assumptions, and reason about what needs to be learned to move forward
Engage directly with data, experiments, and internal tools to understand model behavior, system performance, and the impact of changes across different seller cohorts
Define clear hypotheses and success criteria, and partner with your team to validate them through experiments, analysis, and iteration
Work closely with engineers and applied scientists to craft solutions that range from simple heuristics to machine learning–informed approaches, choosing the right level of complexity for the problem at hand
Collaborate continuously with cross-functional partners to shape solutions, adjust direction based on new insights, and avoid over-investing in unproven ideas
Translate complex system behavior and learnings into clear product decisions and tradeoffs
Partner with teams across Etsy Ads to deliver cohesive, end-to-end solutions spanning buyer and seller experiences
Contribute to team culture, health, and effectiveness by modeling curiosity, clarity of thinking, and strong collaboration
Qualification
Required
5+ years of Product Management experience, ideally working on complex or ambiguous products
Skilled at identifying assumptions, forming hypotheses, and quickly validating them with data, experimentation, or qualitative insights
Comfortable making progress without perfect information and adapting your approach as you learn
Experience partnering closely with engineers and applied scientists to explore problems and shape solutions, rather than handing work off
Comfortable working with machine learning–informed systems, even if you are not writing models yourself, and can engage meaningfully in tradeoff discussions about performance, risk, and complexity
Comfortable reading and writing lightweight Python for analysis, experimentation, or interacting with internal tools, even if you are not building production systems
Consistently use data and insights to decide what to test, what to build, and what to stop
Deeply customer-focused and connect customer needs to business outcomes, looking for solutions that create aligned value for sellers, buyers, and Etsy
Collaborative, team-oriented, and value shared ownership and diverse perspectives
Communicate clearly with technical and non-technical audiences, including peers and senior stakeholders
Curious, reflective, and open to feedback as a core part of how you work
Benefits
Equity package
Annual performance bonus
Competitive benefits
Company
Etsy
Etsy is an e-commerce site and a smartphone application for buying and selling handmade and vintage items.
1001-5000 employees
H1B Sponsorship
Etsy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (38)
2024 (46)
2023 (32)
2022 (52)
2021 (45)
2020 (39)
Funding
Current Stage
Public CompanyTotal Funding
$747.26MKey Investors
Elliott Management Corp.Index VenturesAccel
2025-06-12Post Ipo Debt· $650M
2024-02-01Post Ipo Equity
2017-05-15Post Ipo Equity
Leadership Team
Josh Silverman
CEO
Zofia Ciechowska
Vice President, People Strategy
Recent News
Small Business Trends
2026-01-08
Payments Dive
2026-01-08
Digital Commerce 360
2026-01-07
Company data provided by crunchbase