Top Tech Jobs & Startup Jobs in NYC, NY

Own a healthcare finance product vertical from thesis and roadmap through AI agent development, customer adoption, realized financial value, and team growth. Partner with healthcare executives, AI Engineering, platform teams, and GTM to deliver data-heavy products, trustworthy automation, pricing, and positioning. The role requires hands-on prototyping, specifications, QA, onboarding participation, and accountability for measurable customer outcomes.

Own healthcare finance products end to end, from customer discovery and problem definition through shipping, onboarding, adoption, and measurable financial impact. Partner with customers, engineering, AI, design, and delivery teams; write product specifications, prototype, define agent autonomy and evaluation criteria, manage issue triage, oversee QA, and conduct training. The role requires strong quantitative product ownership, technical fluency, rapid execution, and comfort operating in an ambiguous startup environment.

Owns security and compliance across IT, software development, GCP infrastructure, and subprocessors. Responsibilities include managing SecOps tools, improving software security posture, conducting security and AI audits, maintaining compliance artifacts, developing data and AI governance, vetting technologies, and managing contractual security obligations. The role partners with engineering teams and requires experience with Vanta, cloud DevOps, infrastructure as code, identity platforms, security reviews, and regulated industries.

Build and validate SQL transformations mapping healthcare financial and clinical data into a unified ontology and semantic layer. Reverse-engineer customer business rules, own testing and data correctness, manage historical backfills and incremental loads, and collaborate with customers and platform, insights, and product engineering teams. The role requires strong healthcare revenue-cycle data expertise, production Python, modern data-platform experience, transformation-as-code workflows, data modeling, and customer-facing requirements discovery.

Build and configure AI agents and ML models for healthcare finance customers using existing platform infrastructure. Partner with customers and product teams to scope solutions, create visualizations, present AI capabilities, validate model reliability, and establish testing rigor. Generalize customer-specific solutions into reusable platform features while shipping changes through code review and automated CI/CD.

Own technical implementation of the Physician Enterprise product across enterprise healthcare accounts. Lead requirements gathering, scope, delivery plans, quality decisions, pod prioritization, risks, milestones, and post-launch transition. Partner with Product and Engineering on roadmap development and validate new capabilities. Translate physician productivity, labor costs, service-line performance, and compensation needs into technical solutions while building scalable implementation playbooks.

Own a healthcare finance product vertical end to end, including its strategy, roadmap, AI agents, customer adoption, quality, and realized financial value. Partner with healthcare executives, engineering, sales, and marketing to identify high-value problems, build prototypes, ship products, and validate outcomes. The role requires deep provider finance or operations expertise, production AI experience, strong data fluency, executive presence, and the ability to operate hands-on in an early-stage startup.