Top Tech Jobs & Startup Jobs in NYC, NY

Lead quantitative consumer research on dating, identity, and connection, designing engaging surveys, analyzing emerging findings, and translating data into compelling stories for Communications and Product Marketing. Manage global and cross-cultural research initiatives, including reports, market stories, and product marketing studies. Partner strategically with marketing teams, develop research roadmaps, experiment with quantitative storytelling methods, and direct external research agencies.

Leads research operations by recruiting participants, coordinating in-person studies, managing vendors and research programs, and designing scalable systems for insight sharing. Partners with Legal, Safety, and IT to support secure, ethical data practices. Removes operational blockers, improves workflows through AI and emerging tools, and builds operating models aligned with product development and research needs.

Leads service delivery analytics and planning for Trust & Safety Operations. Owns KPI, SLA, productivity, quality, and operational reporting; builds dashboards, forecasting models, workforce plans, and monitoring frameworks. Manages the analytics and planning team, supports vendor budgeting and cost models, identifies operational risks and process improvements, and translates data into recommendations for leadership and service delivery teams.

Leads enterprise talent acquisition strategy, team development, workforce planning, recruiting operations, forecasting, executive reporting, technology direction, employer branding, and change management. Advises executives on hiring strategy, talent markets, organizational design, internal mobility, compensation governance, and recruiting performance while building scalable, compliant, and data-driven TA operations.

Designs, builds, and maintains data infrastructure, ETL pipelines, data models, and analytics data warehouses. Ensures accurate data flow from creation through presentation layers and supports reporting, analytics, and machine learning initiatives. Collaborates with stakeholders to deliver data products, improves engineering tooling and pipelines, participates in on-call support, and uses cloud, containerization, orchestration, streaming, and CI/CD technologies.

Develop and maintain Android applications using Kotlin and Android SDKs. Collaborate with developers, designers, and product managers to build high-quality features, debug and resolve issues, conduct code reviews, improve codebase health, and participate in agile ceremonies. The role requires 3–5 years of Android development experience, Google Play publication experience, strong software fundamentals, effective communication, and a focus on user experience and quality.

Lead an Engineering Enablement team to improve developer velocity, quality, and effectiveness by owning roadmap, building tooling and platform capabilities, treating internal platforms as products, advancing AI-native agent operability and validation infrastructure, raising technical standards, and growing engineers through hiring and coaching while partnering across engineering teams to drive measurable outcomes.

The role involves leading and mentoring a backend engineering team, managing recommendation services, collaborating across functionalities, and ensuring high standards in code quality and system performance.

Design and implement RESTful APIs, microservices, and distributed systems. Collaborate with teams to promote inclusivity and strong communication.