Top Tech Jobs & Startup Jobs in NYC, NY

Lead a team building high-signal evaluation datasets, developer tools, and online evaluation systems (e.g., CursorBench) to measure and improve coding agent/model quality, integrate evals into launches, deploys, and training decisions, and define metrics and guardrails.

Build and ship end-to-end Bugbot features: frontend, backend, and model integration. Improve the review pipeline (prompting, routing, context selection), embed integrations into developer workflows, monitor and improve review quality, and design onboarding to drive adoption while partnering with ML, infra, and product teams.

Own post-sale success for enterprise customers: lead end-to-end rollouts, drive adoption and retention, engage engineering leaders, translate use cases into repeatable workflows, monitor usage to drive renewals and expansion, and surface customer insights to influence product roadmap.

Own sourcing strategy for engineering and research hires across stack, systems, ML, infrastructure, and security. Build talent maps, identify passive candidates via technical communities, open source, and research, write targeted outreach, partner with hiring managers, track pipeline data, and represent the company at technical events and communities.

Own end-to-end virtual workshop programs to educate enterprise prospects and customers: define strategy, run live operations, coordinate speakers, manage registration and lead routing, measure pipeline influence, and build repeatable processes to scale.

Lead and build a technical curriculum function: create roadmaps, author code-focused learning content, partner with Product and Engineering for launches, define metrics for developer activation and fluency, and hire and grow a team of education engineers.

Build and operate foundational cloud and networking infrastructure: Kubernetes/cluster foundations, geo-replication, edge/security layers (CDN/WAF/traffic management), cost optimization, and a unified container orchestration platform enabling reliable, self-serve deployments.

Drive RL research end-to-end for coding agents: form hypotheses, design experiments, build training/eval/data pipelines, train graders for non-verifiable rewards, improve datapoint quality, and develop realtime RL solutions to scale model performance.

Own full-cycle technical recruiting: source, screen, interview, negotiate offers, and manage candidate experience. Partner with hiring managers, track recruiting metrics, support headcount planning and employer branding, and represent the company at events.

Lead a small team owning shared backend services (auth, webhooks, SCM integrations, agent backend). Set technical direction, build reliable high-throughput systems, write/review code, partner with product and infra, and hire/mentor engineers to ensure platform reliability and scalability.