Top Tech Jobs & Startup Jobs in NYC, NY

Lead development of AI-powered patient experiences: LLM-driven intake and therapist matching, between-session support, evaluation and safety infrastructure, outcome measurement, and HIPAA-compliant product delivery. Partner with Engineering, ML, Data Science, Clinical, and Legal to ship and monitor models in production, write evals, design red-teaming and human-in-the-loop flows, and measure patient outcomes.

Lead Headway's AI platform vision and roadmap, own the internal assistant Eddy, write evals and prompts, configure agents and integrations, and partner with CX, Ops, Sales, Finance, and Clinical teams to identify high-value AI workflows and drive adoption across the company.

Own the full device lifecycle across macOS, Windows (and ChromeOS), build BYOD and device-trust programs in a HIPAA-regulated environment, integrate endpoint management with identity and automate onboarding/offboarding and remediation using scripting, iPaaS and AI, partner with Security and stakeholders, own roadmap, and participate in a light on-call rotation.

Design, standardize, and automate the IAM lifecycle and workflows. Integrate and maintain IdP connections, drive RBAC/least-privilege adoption, automate provisioning/deprovisioning, resolve identity incidents, document processes, and partner with stakeholders to establish IAM governance.

Own strategy and roadmap for core insurance/payment platforms, driving claims processing through reconciliation. Design automated workflows with robust exception handling, reduce financial leakage, build internal tooling for operations, and lead cross-functional initiatives with Engineering, Data, Operations, and Finance to improve provider and patient payment experiences.

Lead architecture and evolution of Headway's data platform (warehouse, ingestion, orchestration, CI/CD, monitoring, cloud infra). Serve as technical anchor across analytics, product, and ML teams, drive platform roadmaps, set standards, mentor engineers, and own end-to-end infrastructure decisions for scale and performance.

Lead and grow a data engineering team, define data platform architecture and reliability (warehouse, ingestion, transformations, orchestration), set engineering standards, partner cross-functionally to support analytics and ML, and translate technical decisions for executive stakeholders.

Lead Trust Foundations product vision for identity quality, data safety (PHI/HIPAA), and proactive risk detection. Build identity verification, deidentification, risk scoring, and enforcement systems, partner cross-functionally with Legal, Compliance, Clinical, Security Engineering, and product teams, and embed trust into product launches—especially as AI features expand.

Lead and grow an engineering team focused on provider growth. Partner with Product, Design, Marketing, and Data to build systems for acquisition, experimentation (A/B testing), AI-assisted experiences, lead capture/scoring/routing, and scale infrastructure while remaining an active technical contributor and mentor.

Lead product measurement strategy and complex evaluation for major product areas. Own experimentation standards, design causal and Bayesian analyses, build scalable measurement systems and dashboards, drive cross-team initiatives, mentor data scientists, and influence product decisions to improve mental healthcare outcomes.