Top Tech Jobs & Startup Jobs

Serve as technical owner and operations lead for the Network AIOps platform. Drive platform governance, dashboard and workflow improvements, signal quality, production monitoring, vendor coordination, and follow-the-sun support. Partner with NetOps, SLO owners, and stakeholders to prioritize intake, define KPIs, report platform health, and communicate risks and recommendations to technical and business audiences.

Lead and scale an enterprise AI/ML engineering organization to design, build, and deploy reusable AI platforms, agent-ready data strategies, and production-grade AI solutions across corporate functions while ensuring responsible AI, governance, and measurable business outcomes.

Lead identification, investigation, and prevention of healthcare fraud, waste, and abuse. Use claims data and guidelines to detect aberrant billing, conduct fieldwork and interviews, collect evidence, analyze trends, maintain case records, support settlements and legal proceedings, and coordinate with state/federal partners and regulators.

Lead strategy, architecture, delivery, modernization, and operational excellence for clinical, client, and pharmacy platforms. Drive cloud transformation, AI-first initiatives (Agentic/Generative AI), Digital Workers, platform simplification, compliance, and high-performing distributed engineering teams to improve reliability, scalability, and healthcare outcomes.

Serve as the operational and analytical right hand to the VP of FP&A. Own and maintain the quarterly forecast model, perform variance analysis, gather and validate data for executive reporting, prepare initial financial commentary, and partner cross-functionally to influence decisions. Ensure forecast accuracy, data hygiene, and timely communication for leadership reviews and board materials.

Lead strategy, design, and delivery of Crimson AI solutions using advanced AI/ML (LLMs, NLP, agentic systems). Manage a global data science team, partner with product and engineering, oversee vendor/data strategy, ensure ethical/responsible AI, and drive enterprise-wide clinical and operational impact.

Lead and grow a high-performing home health sales team by hiring, coaching, and setting sales strategies to meet admit and census goals. Build partnerships with operations, implement company initiatives, develop field best practices, and drive market share growth. Travel extensively across the assigned territory.

Lead design and delivery of cloud-native Java/Spring adjudication services. Decompose legacy systems, build APIs, ensure observability, reliability, and security. Drive CI/CD, containerized deployments, AI-assisted engineering, cross-team coordination, documentation, and production support for high-volume transactional claim workflows.

Lead AI/ML strategy and delivery for healthcare and life sciences: oversee multiple client engagements, design scalable production-grade ML solutions, drive adoption of advanced AI (NLP, deep learning, LLMs, CV), ensure regulatory readiness, and act as executive sponsor for client relationships and portfolio growth.

Lead product vision and go-to-market for an early-stage fraud and abuse detection product in payment integrity. Own strategy, roadmap, and commercialization from pilot to scale; collaborate with engineering, data science, and GTM to deliver AI-driven detection capabilities; define KPIs, measure ROI, and iterate based on analytics and client feedback; monitor market and regulatory trends to maintain differentiation and drive adoption across payer clients.