Etsy

Operations

• Lead and grow the DesignOps team
• Set the operating rhythm
• Own high-leverage programs personally
• Partner with design leadership
• Steward the design tool stack and budget
• Build bridges across Operations
• Make the team's impact visible

Director – Design Operations

Machine Learning Engineer

• Prototype, optimize, and productionize large-scale ML models that help deliver key results
• Conduct A/B experiments to validate the efficiency of ML models and pipelines
• Collaborate closely with product managers, ML engineers, full-stack engineers, and designers on a product team to protect ~100 million users
• Push the state of the art and apply the latest advances in deep learning and other machine learning techniques to improve trust and safety on Etsy
• Share impactful and innovative work in the wider ML research community, including presenting at top-tier ML/DS conferences such as: KDD, WSDM, WWW, Recsys, etc.

Software Engineer II, Machine Learning, Risk Engineering

Full-stack Engineer

• Lead and implement solutions to complex problems
• Collaborate with cross-functional teams to enhance product features
• Maintain critical path product services
• Conduct design and code reviews
• Push code to production frequently
• Build observability and test tooling

Senior Software Engineer

Financial Planning and Analysis

• Own the complete financial and strategic narrative for product progress and performance measurement at Etsy
• Partner with Analytics and Product to develop business cases, track performance against goals
• Lead analyses to uncover performance gaps and adoption trends
• Independently develop ROI analyses, cost-benefit frameworks
• Own the financial planning cycle including annual budgets, quarterly forecasts
• Build and maintain financial models for budgeting, forecasting, or scenario analysis
• Guide senior leaders on resource allocation and strategic decisions

Manager, Strategic Finance

Manager

• Own policy enforcement and operations
• Develop deep expertise in vertical policies and protocols, manage and report on enforcement activities, and lead implementation when policies, taxonomy, or workflows change
• Partner across the business
• Drive collaborative projects with Policy, Analytics, Product, and Engineering — maintaining tight feedback loops and advising on quarterly roadmaps and goals
• Lead investigations and escalations
• Take point on high-priority cases, coordinate with Policy, Legal, Marketing, Comms, and Brand, to resolve policy incidents as they arise
• Surface risks and shape solutions
• Spot emerging abuse trends early, conduct data-informed analyses — post-mortems, deep dives — and translate findings into actionable solutions for Product and Engineering partners to decrease the prevalence of Creativity Standards violations on the Etsy marketplace
• Mentor and develop the team
• Advise Enforcement Specialists on trend spotting and data literacy
• Lead a strategic business area
• Own one or more focus areas within our Ops vertical — such as policy and workflow expansion, QA and training, process and tooling improvements, or controls and detection
• Drive performance and tooling
• Monitor operational metrics to meet or exceed KPI and SLA targets, flag anomalies early, and partner with Analytics for reliable reporting
• Work with Product and Engineering to sharpen enforcement tools and improve the moderation experience across internal and partner teams
• You may also be required to travel up to 25% of the time for team collaboration, events, or other business needs.

Policy Enforcement Manager – Creativity Standards

• partner with product engineering, ML and analytics teams to scope new projects
• help teams migrate ad-hoc or legacy pipelines onto canonical data sources
• debug and unblock tricky integration issues
• document patterns, examples, and recipes for successful integrations
• provide structured feedback to Data and ML Enablement teams

Senior Software Engineer, Data Enablement

Research Scientist

• work closely with software engineers, data scientists, product managers, and designers to set the future technical direction of Etsy’s recommendation system
• push the state of the art and apply the latest advances in ML to improve buyer and seller experiences
• build user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyers
• develop models for personalized ranking, multi-objective optimization, diversity constraints
• design foresight and intent prediction models that anticipate future buyer needs
• improve feed reactivity and freshness, ensuring recommendations adapt quickly to user actions
• prototype, optimize, and productionize large-scale ML models
• conduct experiments (A/B testing etc.) to validate the effectiveness of ML models and pipelines

Senior Applied Scientist

General Counsel

• Advising on securities laws, understanding business risks and opportunities
• Advising the senior leaders and other internal partners on all aspects of the business through a public company lens
• Prepare and review Etsy’s SEC filings
• Prepare and review Etsy’s Proxy Statement and support annual shareholders meetings
• Provide Treasury and Tax Support
• Partner with the Investor Relations team on Regulation FD compliance oversight
• Review external communications and significant internal communications
• Support policies and procedures relating to securities law compliance and disclosure matters
• Advise and support Etsy’s corporate governance policies
• Support executive compensation, equity compensation, and incentive compensation plan matters

Senior Counsel, Corporate & Securities

Product Manager

• Lead all aspects of the team’s strategy, prioritization, and delivery
• Collaborate with cross-functional teams to build effective and scalable products
• Present to company executives on roadmap progress, strategy, and prioritization
• Develop strategies for positive experiences for members making mistakes
• Drive shared models on account identity
• Lead 3 PMs in squad execution

Group Product Manager – Trust Experience

• Collaborate with engineering teams to share ideas and discuss model capabilities
• Implement the latest advancements in machine learning to enhance buyer and seller experiences on Etsy
• Develop, optimize, and deploy large-scale machine learning models to achieve key outcomes
• Partner with product managers, ML engineers, full-stack engineers, and designers to deliver content to millions of users
• Run A/B tests to evaluate the effectiveness of machine learning powered products

Machine Learning Engineer II, Inventory

• Build, configure, and push audience lists across internal databases, Customer Data Platforms (CDPs), and 3rd-party ad platforms (e.g., Google Ads, Meta, TikTok).
• Assist in the tactical execution and audience sharing workflows within Data Cleanrooms (such as Google Ads Data Hub, LiveRamp, etc.), ensuring privacy-safe data connections are accurately set up.
• Work closely on a day-to-day basis with marketing analysts and channel managers. Understand their campaign goals to pull and implement the exact right audience segments needed to drive success.
• Become the go-to operational expert on how our audience platforms work. Stay up-to-date on platform UI changes, upload requirements, and standard methodologies for list formatting and deployment.
• Actively supervise the health of our audience segments. Keep an eye on match rates, audience sizes, and refresh schedules. Perform detailed Quality Assurance to ensure lists are accurate before campaigns launch, and troubleshoot basic sync errors.

Audience Operations Analyst

Strategy

• Craft and lead Etsy’s audience strategy for marketing
• Act as the connective tissue between Brand Strategy, Performance Marketing, and Audience Operations teams
• Translate high-level brand insights into tactical audience definitions
• Lead Data Cleanroom strategy for secure data collaboration
• Drive alignment across Media, Performance, Analytics, Brand, and Engineering teams
• Establish and champion a cohesive audience framework for the marketing organization

Senior Audience Strategy Manager

Analyst

• Manage core benefits administration (e.g., open enrollment, leave, COBRA)
• Maintain the compliance calendar and monitor legislative changes
• Optimize and automate process flows
• Ensure data integrity and visibility
• Manage complex and sensitive benefits and leave cases
• Improve employee self-service content/intake flows
• Serve as the day-to-day vendor and broker contact
• Collaborate regularly with cross-functional partners

Senior Benefits & Leave Analyst

Product Designer

• Shape and communicate a clear, inspiring design direction for Listings and Inventory, ensuring your team’s work aligns with Etsy’s goals.
• Mentor managers and senior designers with empathy and clarity, fostering inclusive, equitable, and people-first leadership.
• Partner with Brand and Design Systems to ensure experiences are consistent, intuitive, and delightful for every seller and buyer.
• Work closely with Product, Engineering, and Research leaders to set priorities, align on strategy, and create shared purpose.
• Use insights to improve seller satisfaction, listing clarity, and buyer confidence — making every interaction smoother, easier, and more inspiring.

Director of Product Design – Inventory

• Support and evolve customer operations systems and workflows
• Architect a high-scale, automated service environment
• Lead the long-term technical roadmap for the CX ecosystem
• Administer and optimize CX platforms, including workflows, automations, and reporting
• Design and deploy advanced AI strategies, moving beyond simple chatbots to LLM-powered agent copilots
• Evaluate and implement automation and GenAI solutions to enhance agent productivity and customer interactions
• Architect robust middleware and API integrations
• Own the end-to-end SDLC for CX tooling
• Partner with Analytics to design telemetry frameworks that measure system health