Top Tech Jobs & Startup Jobs in NYC, NY

Build and maintain the core gameplay recorder, including capture, encoding, hooks, and game integrations such as auto-clipping. Design scalable architecture, establish guardrails and best practices, improve maintainability, and enable safe contributions across teams. Collaborate closely with engineers, share knowledge, pair with teammates, and optimize performance-driven features. The role is hands-on and requires working onsite in New York City five days per week.

Own the reliability and scalability of large-scale infrastructure supporting video ingestion, billions of clips, and social features. Responsibilities include on-call leadership, incident response, postmortems, infrastructure-as-code, Elasticsearch operations, GCP and Kubernetes management, database scaling and sharding, CI/CD, and collaboration with engineering teams. The role requires strong judgment during production incidents, durable infrastructure solutions, and experience in rapidly scaling startup environments.

Own the company’s trust and safety function across content moderation, user data, platform transparency, and regulatory compliance. Build and evaluate detection systems, automate manual review, define safety metrics, optimize costs, guide product and engineering roadmaps, monitor global regulations, and develop the safety team. The role requires hands-on SQL and Python skills, experience with classifiers and LLM-based review, and leadership in consumer platforms with user-generated content at scale.

Own US accounting operations, including accounts payable, accounts receivable, billing, reconciliations, bank accounts, cash forecasting, and month-end close. Support revenue recognition, audits, tax filings, and investor diligence while maintaining accurate, audit-ready ledgers. The role also involves bringing accounting functions in-house, automating processes with Rillet and Ramp, and coordinating intercompany and consolidation activities across US and European entities.

Deploy AI and robotics models on real-world hardware, optimizing inference for constrained edge systems and integrating sensors, controls, middleware, and legacy systems. Diagnose failures across calibration, dynamics, timing, and perception; evaluate model performance rigorously; and collaborate with research teams, customers, and partners to move systems from simulation and prototypes into production.

Design and build highly scalable, low-latency backend systems, APIs, microservices, and infrastructure serving millions of users. Collaborate with product, infrastructure, and data teams, make architectural decisions, mentor engineers, drive cross-team projects, and improve systems handling high request volumes. Work with Java, relational databases, cloud infrastructure, Kubernetes, CI/CD, infrastructure as code, caching, and messaging technologies.

Build and scale high-quality frontend features for a large gaming platform serving more than 100 million users. Develop primarily with React in an Electron application, collaborate with leadership and the gaming community, and ship features rapidly. Own complex features end to end, optimize production performance, use profiling tools, and measure outcomes through A/B testing and usage metrics. The role is based in New York City with five days per week in the office.

Own product and business analytics across experimentation, causal inference, instrumentation, KPI reporting, pricing, advertising, subscriptions, and conversion. Design experiments, analyze event-level consumer data, partner with engineers on telemetry, and communicate recommendations using statistical rigor. The role also supports thought leadership, manages an independent analytics roadmap, and informs product and business strategy.

Own full-cycle technical recruiting for frontier AI research and engineering teams. Build recruiting processes, sourcing strategies, talent campaigns, candidate pipelines, and employer-brand initiatives. Partner with research and engineering leaders to hire AI researchers, technical staff, and engineers. Use AI-assisted recruiting automation, data-driven sourcing, and outreach workflows while developing relationships within technical and research communities.

Build and manage the company’s operational backbone, including contract lifecycles, document management, compliance workstreams, audits, due diligence, investor requests, and evidence collection. Develop AI-powered automations to improve operational speed and accuracy while supporting investor relations, equity management, HR, and broader company operations.