Senior Engineering Manager, Tech Lead | COB Product

About the role

The Senior Engineering Manager, Tech Lead will head a 5‑6 engineer team building a new AI‑driven, cloud‑native Coordination of Benefits (COB) product from the ground up, setting technical direction, architecture, and engineering standards while collaborating cross‑functionally with product, ML, UX, and operations.

About the company

Machinify is a leading healthcare intelligence company that provides AI‑powered, configurable platforms across the payment continuum, serving over 85 health plans and more than 270 million lives, with a mission to maximize financial outcomes and reduce healthcare costs.

Requirements

• 3+ years of combined technical leadership and engineering management experience
• 8+ years building production backend services and applications
• Hands‑on experience building and operating microservice architectures on containers and orchestration (Docker, Kubernetes) with strong observability
• Proficiency in Java, GoLang, Scala, or Rust
• Proven track record hiring, developing, and managing high‑performing engineering teams, including performance management
• Demonstrated success leading cross‑functional initiatives and aligning product, ML, and business stakeholders toward shared outcomes
• Excellent communication skills, including translating technical trade‑offs for non‑technical audiences and presenting to executives
• Demonstrated ability to drive ambiguous, open‑ended problems to closure with measurable outcomes
• Power‑user fluency with Claude Code or Codex for planning, building, and debugging non‑trivial work
• BS or MS in Computer Science or equivalent
• Strongly preferred: experience building greenfield products and establishing engineering standards for a new team
• Strongly preferred: experience in healthcare, insurance, finance, or other high‑stakes domains where “mostly right” is unacceptable
• Strongly preferred: familiarity with claims, payments, or coordination‑of‑benefits and payment‑integrity workflows
• Strongly preferred: experience designing high‑throughput rules or decisioning engines evaluating logic against large data volumes in near real time
• Strongly preferred: experience operating systems on regulated data (PHI/PII), including required security and compliance controls
• Strongly preferred: experience shipping AI‑ or ML‑driven features in production and earning business trust
• Strongly preferred: track record defining and owning business‑trusted metrics such as precision/recall and dollar‑weighted impact
• Strongly preferred: experience with lightweight operational practices such as on‑call, incident review, and release management