Top Tech Jobs & Startup Jobs in NYC, NY

Lead Gametime’s creative operations and production function, building scalable intake, prioritization, resourcing, measurement, vendor, budget, and AI workflow systems. Manage a small team and flexible production bench, establish video and creator-content quality standards, oversee a seven-figure budget, and partner across marketing, product, legal, finance, and growth. The role requires building the operating model from scratch, scaling output without proportional headcount, and driving measurable improvements in turnaround time, cost per asset, throughput, and delivery.

Leads creative strategy across brand and growth marketing, translating marketing briefs into actionable creative briefs and guiding work from concept through final execution. Develops strategies for emerging channels such as CTV, audio, podcasts, Reddit, and creator content; evaluates performance through research and testing; and surfaces cultural insights across sports, music, and theater fandom. Mentors junior creatives and freelance strategists while connecting creative decisions to measurable business outcomes.

Own the Payments & Checkout roadmap, improving checkout conversion, payment authorization, BNPL adoption, fraud-risk balance, vendor performance, and payment cost efficiency. Partner with engineering, design, data, processors, networks, wallets, and BNPL providers to optimize transaction growth, average order value, and completed payments. Use experimentation, SQL, and analytics to diagnose funnel performance and deliver measurable business outcomes.

Lead the Fan Experience engineering team building consumer-facing ticket discovery and purchasing features across web and mobile. This hands-on role involves coding, mentoring, hiring, owning the engineering roadmap, improving velocity through AI tools and internal platforms, partnering with Product and Design, managing technical risks and debt, and delivering measurable marketplace outcomes. The manager will guide full-stack architecture, experimentation, quality, and cross-team technical initiatives.

Leads a hands-on engineering team building fan-facing marketplace experiences across web and mobile. Responsibilities include coding, technical architecture, AI-enabled development practices, roadmap and execution ownership, cross-functional partnership with Product and Design, risk management, mentoring, hiring, and improving engineering velocity, quality, and business outcomes. The role requires full-stack leadership in a high-traffic consumer marketplace, with expertise in modern frontend stacks, backend services, APIs, analytics, experimentation, and data-driven prioritization.

The Director of Web Growth will own web-driven GMV and full-funnel economics across paid search, SEO, content, CRO, and experimentation. They will manage the paid search team, partner with Product and Engineering to improve conversion, establish SEO and content capabilities, build dashboards and operating cadences, and guide web-to-app strategy using CAC, LTV, contribution margin, and AOV.

Build and scale full-stack applications, backend services, APIs, infrastructure, and user experiences supporting millions of users. Design reliable, high-performance systems; partner with Product, Design, and Data; own projects through deployment and optimization; improve observability and developer productivity; and support AI adoption through automation and AI-powered workflows.

Own the post-order product roadmap, improving communications, ticket delivery, AI-powered self-service, agent-assist tooling, customer satisfaction, contact rate, and cost to serve. Partner with Fan Operations, Engineering, Data, Trust & Safety, and Supply to deliver measurable outcomes. Use SQL and analytics to identify customer friction and guide product improvements across marketplace support and ticket fulfillment experiences.

Lead the development and production deployment of applied machine learning and LLM solutions across product, marketing, and operations. Own ranking, recommendation, filtering, personalization, experimentation, and model evaluation systems. Partner with business and technical teams to identify valuable use cases, establish modeling best practices, and ensure reliable production deployment. Manage and mentor applied ML practitioners while maintaining technical rigor, business alignment, and measurable customer and revenue impact.

Own mobile marketing analytics frameworks, dashboards, cohort and campaign analysis, profitability modeling, audience strategy, and incrementality experiments. Analyze attribution, retention, LTV, CAC, ROAS, payback, creative performance, and marketplace dynamics. Partner with marketing, finance, and leadership to guide spend allocation and growth decisions while navigating mobile privacy and attribution challenges.