Top Tech Jobs & Startup Jobs in NYC, NY

Leads analytics strategy for Faire’s Discovery pillar, informing search, recommendations, ads, and marketplace decisions. Builds and manages a high-performing strategy and analytics team, establishes analytical rigor and experimentation standards, owns key metrics and datasets, and develops self-serve data tooling and operating systems. Partners cross-functionally to identify opportunities, improve decision-making, and scale analytics practices across the company.

Own the strategy, roadmap, metrics, and product development for Faire’s search ranking algorithms. Partner with data science, ML platform, discovery infrastructure, and search teams to identify opportunities, diagnose ranking issues, prioritize technical investments, and improve retailer discovery outcomes. The role requires strong product judgment, analytical direction, technical fluency, and experience managing complex, cross-functional initiatives.

Build and maintain production-grade ETL/ELT pipelines, financial data models, integrations, monitoring, testing, and automation. Partner with Accounting, Finance, Engineering, and Data Infrastructure to improve reporting accuracy, data reliability, and business insight. Lead data strategy, roadmap planning, workflow automation, and GenAI-enabled productivity initiatives across Finance.

The role involves defining the vision for search and discovery experiences, leading end-to-end design, collaborating cross-functionally, and evolving design systems

Own product marketing for a meaningful product area, including customer research, positioning, messaging, go-to-market strategy, launches, adoption, and cross-functional enablement. The role partners with Product, Design, Revenue, CX, Lifecycle, Legal, and Marketing, uses data to measure impact, shapes product roadmaps, and applies AI tools to improve marketing effectiveness.

Build and own production marketing systems across landing pages, audience and attribute management, campaign automation, paid media feeds, marketing data, and recommendation surfaces. Write and deploy code, operate services on call, integrate AI agents with evaluations and monitoring, and create self-service tools for marketing teams. Partner with lifecycle, paid, brand, and product marketing to turn ambiguous needs into scalable capabilities.

Lead end-to-end product design for Faire’s wholesale marketplace, from customer discovery and prototyping through polished production delivery. Define product direction, collaborate with engineering, product, data, research, and customer service teams, and connect design vision to business and customer outcomes. Evolve the company’s design system, experiment with modern and AI-integrated workflows, communicate design impact to leadership, and mentor other designers.

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 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 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.