Etsy

Content Marketing Manager

• Define voice, tone, and conversational patterns across Etsy's end-to-end experience
• Ensure content patterns and glossaries are implementable and token-backed
• Create the content layer of Collage, Etsy's design system
• Build content guidelines at the component and pattern level
• Partner with Studio on content frameworks, guidelines, and production-ready copy
• Architect and maintain guidelines and prompt infrastructure for AI-generated copy
• Define AI content workflows and evaluation frameworks
• Help designers reason about content systemically through critiques, documentation, tooling, and office hours
• Evolve content work from reviewing strings to governing behavior
• Anchor the content community of practice and contribute to craft calibration
• Report to the Director of Content Design

Staff Content Designer, UX Platform

Machine Learning Engineer

• Design, build, and maintain search backend systems and infrastructure
• Partner with ML modeling teams to productionalize retrieval and ranking models at scale
• Ensure reliable data pipelines, index health, and performance
• Develop indexing, query execution, and ranking infrastructure to improve latency, throughput, and resilience
• Own and operate next-generation retrieval infrastructure and search backends
• Unify lexical and ANN retrieval infrastructure across Etsy products
• Enable ML-based rankers in retrieval
• Build and maintain scalable, low-latency systems meeting strict SLAs and supporting live A/B experiments
• Collaborate with applied scientists, Data Platform, ML Enablement, Search ML, and product engineering teams
• Use AI tools and develop agentic workflows to improve individual and team velocity and developer experience
• Participate in code reviews, design discussions, mentorship, and performance feedback
• Report to the Engineering Manager

Senior Software Engineer I, Machine Learning, Search Systems

Product Manager

• Set and drive product strategy across web front-end developer experience, infrastructure, design systems, and prototyping
• Create focused, prioritized roadmaps and make product trade-offs
• Build solutions for measuring experience quality and internal front-end developer experience
• Define multi-year investment strategy for agentic and AI-assisted capabilities
• Lead, manage, and develop a team of product managers
• Champion front-end platform health, accessibility, and design-system best practices
• Partner with product teams using the platform to understand needs and establish priorities
• Represent the UX Platform roadmap and progress to senior leadership
• Build the case for investment when needed
• Report to the Senior Director of Product Management, Foundation

Director of Product Management, UX Platform

• Build and contribute across Etsy’s recommendations stack, including application interfaces, back-end technologies, and machine learning technologies
• Develop with Python, MySQL, Scala, Vertica, PySpark, Google Cloud Platform, and Airflow
• Work cross-functionally with machine learning infrastructure, data science, search experience, and other engineering teams
• Participate in design, prioritization, and implementation
• Deploy machine learning models to production, including application development for features when needed
• Provide detailed and constructive design and code reviews
• Improve ranking and suggestions of localized results through machine learning algorithms
• Create workflows and pipelines that transform data into appropriate buyer results
• Collaborate with engineers, machine learning scientists, product managers, data scientists, designers, and product-facing engineers and managers

Senior Machine Learning Engineer, Recommendations Retrieval

Product Designer

• Architect Collage, Etsy’s design system, including component anatomy, API and composition models, variant strategies, and token structures
• Make design system decisions across web, iOS, Android, and Flutter
• Define and refine component proposal, prioritization, design, documentation, graduation, and deprecation processes
• Structure tokens, component metadata, and documentation for programmatic operation and scalable quality
• Use agentic tools such as Cursor or Claude to prototype architecture and reduce manual work
• Document decisions and involve the team in unresolved architecture problems
• Partner with teams consuming Collage to identify failures, resolve root causes, and drive adoption
• Collaborate with web and native engineering leads on implementable, token-backed, performant designs
• Champion accessibility, precision, completeness, and quality across system outputs
• Lead cross-squad design objectives and connect them to UX Platform strategy
• Help designers adapt work to existing patterns and platform conventions
• Build prototypes to clarify direction and create organizational alignment
• Influence priorities and roadmaps while balancing near-term delivery and long-term system vision
• Evolve team workflows, intake processes, and documentation practices

Staff Product Designer, Design Systems

Full-stack Engineer

• Build and maintain software written in PHP
• Evolve the OpenAPI platform by identifying friction and implementing features that improve developer experience
• Partner with product engineering teams to build and roll out new features
• Debug issues spanning multiple systems, determine root causes, and route or fix them
• Collaborate with product, analytics, research, and other cross-functional partners to identify high-impact projects
• Scope platform projects, stage delivery, and resolve architectural trade-offs
• Write high-quality code and mentor teammates through PR reviews, pairing, and mentoring
• Steer the team’s technical direction, projects, and processes
• Set technical direction with team leads and design larger projects
• Provide guidance to internal teams on OpenAPI feature rollouts and breaking changes

Staff Software Engineer, Public API

Affiliate Manager

• Manage the teams responsible for Creator Program and publisher affiliate program strategy and execution
• Build growth plans for creator recruitment, engagement, retention, and monetization
• Scale Etsy’s in-house ambassador program
• Guide external network and publisher strategy, including incentives, commission structures, and promotional planning
• Grow and optimize Etsy's global Affiliate program and deepen partnerships across more than 100 countries
• Partner with Product and Engineering on tooling priorities
• Partner with Analytics on incrementality, attribution, halo impact, and testing roadmaps
• Align cross-functional strategy across Marketing, Product, Engineering, Analytics, Finance, CRM, and Paid Media
• Own portfolio performance, including discovery metrics, GMS efficiency, and incrementality
• Present portfolio performance narratives to senior leadership
• Mentor and grow a high-performing team
• Foster a culture of testing and learning that informs investment in creator and affiliate programs

Director, Creator & Affiliate Marketing

Accountant

• Manage day-to-day, monthly, and quarterly international accounting activities
• Manage US GAAP and statutory accounting and compliance for international Etsy subsidiaries
• Own US GAAP reporting, including month-end close, balance sheet reconciliations, and internal reporting
• Manage local statutory compliance, audits, and preparation of financial statements
• Perform monthly analytics for each subsidiary
• Drive continuous improvement through standardisation, automation, process reengineering, and adoption of AI-enabled tools
• Partner with international business teams, SEC reporting, treasury, and internal payroll teams
• Ensure accurate and timely completion of monthly payroll
• Report to the Senior International Finance Manager

International Accountant

Research Scientist

• Work with software engineers, data scientists, product managers, and designers to set the technical direction of Etsy’s recommendation system
• Apply machine learning advances to improve buyer and seller experiences
• Build user models to understand buyers’ interests, tastes, and shopping missions
• Develop personalized ranking, multi-objective optimization, and diversity-constraint models
• Design foresight and intent prediction models for future buyer needs and lifecycle transitions
• Improve feed reactivity and freshness based on user actions, trends, and seasonal shifts
• Prototype, optimize, and productionize large-scale machine learning models
• Conduct experiments, including A/B testing, to validate ML models and pipelines
• Report to the Engineering Manager
• Perform additional duties as assigned and adapt responsibilities as business needs change

Senior Applied Scientist I, Recommendations Ranking

Recruitment

• Manage full-cycle recruiting from intake through offer and close
• Act as a strategic partner and trusted advisor to hiring managers and leaders on role scope, sourcing strategy, and interview design
• Build and maintain passive talent pipelines for recurring or hard-to-fill business-function roles
• Coach interviewers on clear, evidence-based feedback
• Facilitate debriefs that lead to confident hiring decisions
• Track quality-of-hire signals and use them to inform sourcing strategy and process changes
• Represent Etsy’s employer brand
• Deliver a strong candidate experience at every stage
• Perform other duties and responsibilities as assigned or changed at Etsy’s discretion or as required by local law

Senior Recruiter

Operations

• Own intake, prioritization, and requirements gathering for Customer Operations tooling workflows
• Identify recurring tooling friction using agent feedback, quality signals, and operational data
• Lead tooling initiatives from discovery through implementation and post-launch support
• Partner with Product, Engineering, Analytics, Operations, and BPO teams on scalable tooling solutions and technical standards
• Build and maintain operating rhythms, roadmap tracking, prioritization routines, status updates, risk reviews, and launch checklists
• Own documentation for workflows, decision and escalation frameworks, launch plans, user guides, and operational playbooks
• Support major launches, workflow changes, partner ramps, and holiday readiness
• Prepare leadership-ready updates on priorities, roadmap progress, risks, blockers, tradeoffs, and recommendations

Staff Tooling & Platform Operations Manager

Data Scientist

• Lead analytical aspects of the product lifecycle, from sizing opportunities through measuring success via experimentation for machine learning squads
• Collaborate with Ads Marketplace leads to define key analysis questions
• Conduct rigorous analysis and produce insights to improve models powering Etsy Ads
• Define metrics for robust measurement of product performance
• Partner with product managers, engineers, and applied scientists
• Guide partner teams with data and insights
• Tell the story of how Etsy attracts and retains users to teams, senior management, and the community

Senior Data Scientist, Ads Marketplace

• Define Etsy’s User & Content Understanding strategy
• Develop a multi-year product vision for understanding buyers, inventory, sellers, missions, and context
• Identify foundational capabilities that unlock improvements across products and surfaces
• Translate advances in representation learning, multimodal models, LLMs, sequence modeling, and generative recommendation into product opportunities
• Develop richer buyer representations encompassing tastes, aesthetics, interests, preferences, affinities, missions, and intent
• Improve understanding of new, signed-out, and low-history buyers using contextual, behavioral, graph, and cohort signals
• Establish richer semantic and multimodal representations of listings, shops, sellers, and other content
• Improve understanding of objects, attributes, aesthetics, occasions, seasonality, price and value, quality, craftsmanship, originality, and human connection
• Develop scalable approaches for long-tail and newly listed inventory
• Partner with Trust and Marketplace teams on authenticity, authorship, quality, and differentiation
• Align product leaders, engineers, scientists, analysts, researchers, and designers around shared strategies
• Influence team roadmaps across Etsy
• Navigate cross-surface trade-offs
• Mentor PMs and improve ML product thinking across MARS

Senior Staff Product Manager, User & Content Understanding

Manager

• Define and uphold Etsy's Creativity Standards for items sold on the marketplace
• Own policy enforcement and operations, including developing expertise in vertical policies and protocols
• Manage and report on enforcement activities
• Lead implementation when policies, taxonomy, or workflows change
• Drive collaborative projects with Policy, Analytics, Product, and Engineering
• Advise on quarterly roadmaps and goals
• Lead high-priority investigations and escalations
• Coordinate with Policy, Legal, Marketing, Communications, and Brand to resolve policy incidents
• Identify emerging abuse trends and conduct data-informed post-mortems and deep dives
• Translate findings into solutions for Product and Engineering to reduce Creativity Standards violations
• Mentor Enforcement Specialists on trend spotting and data literacy
• Own strategic focus areas such as policy/workflow expansion, QA and training, process/tooling improvements, or controls and detection
• Monitor operational metrics and meet or exceed KPI and SLA targets
• Flag anomalies and partner with Analytics for reliable reporting
• Improve enforcement tools and moderation experiences with Product and Engineering
• Travel up to 25% for team collaboration, events, or other business needs

Policy Enforcement Manager, Creativity Standards

• Build and operate infrastructure for training and serving Etsy's machine learning models
• Architect systems for fast, reliable, and scalable model serving at millions of inferences per second
• Write high-quality, production-grade Python code and participate in code reviews and pair programming
• Help drive architectural decisions and contribute to system design discussions
• Build, operate, and improve ML training and serving infrastructure on GCP and Kubernetes
• Design and maintain serving infrastructure for open-source and internally hosted LLMs
• Manage model deployment and resources and tune performance
• Partner with Applied Scientists to translate model training and serving needs into self-service infrastructure
• Optimize tradeoffs across performance, cost, and reliability for infrastructure serving 100M+ users
• Use generative AI and other productivity tools thoughtfully