Top Tech Jobs & Startup Jobs in NYC, NY

Own the technical sales process for enterprise brand integrations, from discovery and feasibility assessment through solution design, deal support, implementation, testing, and go-live. Map customer systems, recommend native, middleware, EDI, or API integration paths, build business cases, resolve complex synchronization issues, and coordinate with account executives, brand teams, partners, Product, and Engineering. Develop repeatable sales engineering playbooks, qualification guides, and reference architectures while supporting quota-linked brand activations across North America and Europe.

Manage a portfolio of approximately 200–250 Korean-speaking brands, coaching them on Faire’s platform, products, programs, and events. Drive adoption, retention, sales growth, upselling, and revenue outcomes through tailored account strategies. Build trusted customer relationships, communicate product updates, analyze performance data, synthesize customer feedback, and collaborate cross-functionally with support, product, design, and marketing teams.

Own the technical direction and roadmap for Faire’s data infrastructure. Build CDC and streaming ingestion from production databases into Kafka, Iceberg, and S3; manage data quality, contracts, observability, SLAs, and reliability. Operate Airflow and Fivetran, lead platform migrations, establish governance, mentor engineers, and collaborate with data scientists, analysts, and senior engineering teams. The role requires hands-on development, architecture leadership, incident ownership, and cross-team influence.

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.

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.