Jobs at Faire

Staff Product Engineer responsible for executing complex features across multiple teams and technology stacks, including backend, frontend, and mobile. Collaborates with product, design, marketing, and data partners; optimizes scalable web applications; contributes to product strategy; and mentors engineers on technical and product judgment. The role supports Brand pillar priorities, drives improvements end to end, and promotes maintainable, high-quality software development.

Leads fulfillment strategy and analytics, owning north-star metrics, experimentation strategy, product analytics, brand-growth analytics, and cross-functional strategic initiatives. The role translates complex analyses into leadership recommendations, ensures reliable instrumentation and measurement, coordinates analytical partners, and builds scalable processes and AI-enabled workflows. It requires strong strategic problem-solving, communication, product intuition, experimentation expertise, and advanced analytical experience across product analytics, consulting, or business operations.

Lead architecture and delivery of AI coding agents, developer tools, CI/CD workflows, remote development environments, and testing sandboxes. Own production reliability, monitoring, SLAs, cost optimization, integrations, and end-to-end developer workflows. Establish engineering standards, shape the technical roadmap, collaborate across teams, evaluate AI coding vendors, and mentor engineers.

Lead high-stakes corporate strategy initiatives from problem framing through implementation. Analyze ambiguous business questions, develop recommendations using data and market research, collaborate cross-functionally, guide executive decisions, and own pilot execution. The role also involves identifying dependencies, improving team processes, mentoring teammates, and applying AI tools to accelerate strategic analysis.

Own the end-to-end ads data foundation by designing scalable pipelines, data models, infrastructure, and analytics capabilities. Collaborate with Product, Engineering, ML, and Strategy teams to translate requirements into production-grade systems and insights. Improve data quality, performance, and accessibility while embedding AI into analytical engineering workflows. Mentor teammates, define technical roadmaps, and support company-wide data initiatives.

Own the measurement and optimization of long-term value for discovery impressions on Faire’s marketplace. Build the LTV framework, define hypotheses and surrogate metrics, design long-horizon experiments, implement ranking experiments, and improve model accuracy for use across search, reorder, and advertising. The role requires production machine learning, causal inference, experimentation, statistical analysis, and data engineering expertise, along with strong cross-functional communication.

Own end-to-end applied machine learning projects supporting brand acquisition and growth on a two-sided marketplace. Develop targeting, personalization, lifetime-value, recommendation, lead enrichment, causal inference, and marketing optimization models. Partner with product, engineering, marketing, sales, and analytics teams to ship models, measure impact, and improve brand onboarding and marketplace outcomes.

Prospect and qualify French-speaking brands for Faire’s wholesale platform. Develop outbound strategies through email, calls, social media, and events; build prospective customer relationships; generate qualified opportunities for Account Executives; track pipeline health using Salesforce and sales engagement tools; interpret performance data and continuously improve prospecting approaches.

Own the global Enterprise brand growth opportunity across markets, setting strategy, sizing opportunities, shaping pricing and go-to-market plans, and leading cross-functional execution. Analyze performance, define KPIs, build operational processes, develop new supply growth models, and present recommendations to leadership. Partner with Product, Sales, Marketing, Data Science, and Program Management while mentoring peers as a senior individual contributor.

Build Faire’s employer value proposition and cohesive talent brand strategy across digital channels. Develop AEO/GEO initiatives, employee storytelling systems, recruiter enablement materials, AI-powered content tools, and talent brand guidelines. Measure candidate sentiment, conversion, and hiring outcomes while partnering with Recruiting, Marketing, Communications, and People teams.

Build Faire’s enterprise detection and response capability from the ground up. Develop telemetry pipelines, detection content, alert routing, enrichment, playbooks, and automated triage and response. Track adversary behavior, conduct threat hunting and tabletop exercises, and maintain detection-as-code pipelines. Collaborate with IAM, network, infrastructure, and enterprise security teams to improve controls and resolve root causes.

Manage the lifecycle, security, and user experience of Faire’s global macOS, Windows, Chrome OS, iOS, and Android endpoint fleet. Build automations, manage patching and OS upgrades, package applications, deploy device trust and EDR practices, and support endpoint security. Collaborate with IT and partner teams, provide escalation support and mentorship, document procedures, and govern AI tools and agents across managed devices.

Serve as the primary HR Business Partner for Faire’s UK organization, advising senior leaders on talent, performance, employee relations, organizational design, workforce strategy, culture, and change. Lead UK HR operations and compliance while using people insights to guide decisions. Drive global strategic HR initiatives, cross-functional projects, manager enablement, process improvements, and adoption of AI and People-tech tools.

Lead the vision, strategy, and execution of applied AI/ML initiatives for Faire’s two-sided marketplace. Build recommendation, retrieval, ranking, personalization, LTV, causal inference, and LLM-driven content models. Develop systems for marketplace quality, trust, policy enforcement, and user engagement. Lead cross-functional workstreams, mentor or manage scientists and analytics engineers, and improve growth, acquisition, incentives, and discovery experiences.

Own and grow a portfolio of upmarket brands across Spain by prospecting, managing complex sales cycles, and driving incremental GMV. Build high-quality pipelines using data, category insights, AI tools, and market knowledge. Lead executive and operational stakeholder conversations, support brand onboarding, resolve market-specific objections, represent Faire at events, host webinars, and collaborate with marketing on messaging and lead generation.

Build and maintain reusable frontend components and design-system infrastructure across Faire’s web surfaces. Champion accessibility, performance, testing, and quality standards; collaborate with Product Design and engineering teams; guide frontend architecture; use AI-assisted tooling; lead technical projects; mentor engineers; and participate in design and code reviews.

Design, build, and operate AI agents, automations, and integrations for Faire's GTM stack. Own and extend Salesforce and GTM systems, partner with data teams to surface signals, ensure governance, monitoring, and guardrails, and drive adoption and operational reliability for revenue-facing workflows.

Lead product strategy for Faire's data, ML, and AI platforms: run discovery with engineers and scientists, prioritize investments across training, deployment, observability, and data quality, define SLAs and data contracts, improve metadata/lineage/discovery, and drive safe AI adoption and platform productization to increase adoption and measurable user outcomes.

The Strategy & Analytics Senior Lead will drive product decisions through analysis, partnering with cross-functional teams to generate insights and enhance operational processes.

Build end-to-end features for Faire's Brand pillar, collaborating with product, design, and data. Work across backend, frontend, and mobile stacks to optimize performance and scalability, mentor engineers, and drive product improvements from discovery through implementation while using modern tooling and AI productivity aids.