Top Tech Jobs & Startup Jobs in NYC, NY

Lead strategy, roadmap, development, and launch of an AI-enabled physician accounts receivable product. Partner with engineering, operations, commercial, and executive stakeholders to define requirements, prioritize initiatives, guide agile delivery, manage releases, and drive adoption. Apply healthcare revenue cycle expertise to identify market opportunities, incorporate customer insights, leverage existing technologies, and deliver measurable business outcomes while building alignment across a complex organization.

Owns the design, documentation, and optimization of healthcare revenue cycle workflows. Translates payer-provider processes into build-ready product requirements, user stories, process maps, and decision trees for AI-enabled solutions. Partners with operations, product, engineering, vendors, and leadership to identify automation opportunities, troubleshoot issues, improve performance, and support implementation. Requires deep healthcare revenue cycle expertise, strong process analysis, stakeholder facilitation, structured problem solving, and up to 25% travel.

Design, develop, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems. Build secure, reliable, compliant systems at scale; run A/B tests; partner with product and operations teams to automate healthcare workflows; and collaborate with AI/ML engineers on systems combining deterministic logic, machine learning, and LLMs.

Design, build, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems. Lead technical initiatives, own production features end to end, scale reliable systems, run A/B tests, and partner with product and operations teams to automate healthcare workflows using deterministic logic, machine learning, and LLMs.

Design, develop, test, deploy, and operate frontend applications, backend services, data pipelines, and AI systems. Build AI-native automations with product and ML teams, run A/B tests, scale reliable production systems, debug performance and data issues, and deliver secure healthcare technology with end-to-end ownership.

Build full-stack healthcare applications using React, Node.js, Python, TypeScript, and SQL. Partner with customers, designers, and researchers to turn AI outputs into intuitive, trustworthy workflows. Own features end-to-end, including scoping, design, implementation, deployment, and delivery, while contributing product judgment to AI-powered healthcare technology.

Build full-stack AI-powered healthcare applications using React, TypeScript, Node.js, SQL, and Python. Partner with customers, design, and research to understand workflows and deliver intuitive, trustworthy automation products. Own features end to end from scoping and design through deployment, lead larger projects amid technical complexity and ambiguity, and provide guidance to less experienced engineers.

Leads analytics, reporting, data modeling, automation, AI-agent development, and quality assurance for revenue cycle operations. Creates Power BI and Excel reports, analyzes complex healthcare and operational datasets, develops scalable warehouse models, and delivers actionable insights to leadership. Uses SQL, cloud data platforms, Git, Python, and AI-assisted tools to improve reporting efficiency, accuracy, and decision support.

Manage sales compensation, commission administration, territory planning, quota setting, and sales-planning governance. Design and model incentive plans, allocate quotas, balance territories, resolve commission issues, maintain accurate Salesforce and Workday data, and oversee related systems, controls, reconciliations, and documentation. Partner cross-functionally with Sales, Finance, HR, Legal, Accounting, and leadership to ensure financially sustainable plans, accurate payouts, effective coverage, and timely annual planning execution.

Lead assessments, design future-state workflows, and translate executive strategy into operational implementation for healthcare coding and revenue cycle. Drive process mapping, change management, KPI/SLA monitoring, training, and AI-enabled coding optimization while liaising between executives and operational teams.