Senior Engineering Manager, Tech Lead | COB Product

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. They are seeking a Technical Senior Engineering Manager to lead the engineering team for Coordination of Benefits (COB), building a scalable, AI-driven, cloud-native solution to transform COB processes.

Responsibilities:

• Own the architecture, technical roadmap, and production releases for CORA, holding the team accountable for quality, reliability, and delivery pace
• Stay hands-on through architectural design, code review, and selective coding where it sets the technical bar for the team
• Hire, develop, and retain a team of 5–6 engineers, with deliberate investment in coaching, career growth, and performance management
• Establish the engineering standards, operational practices, and delivery rhythm appropriate to an early-stage greenfield product
• Guide the design of the core rules engine, the claims pipeline, and the AI innovation that moves COB determinations to be more accurate and efficient
• Drive platform decisions for extensibility, scalability, and the security that regulated healthcare data demands as CORA onboards new payers
• Partner with product, ML, UX, and operations to translate evolving payer and analyst requirements into scoped, sequenced work with measurable targets
• Align stakeholders across teams on priorities, tradeoffs, and timelines, and drive cross-functional decisions cleanly to closure
• Define and report the metrics that demonstrate engineering and product impact to leadership and to partner teams across the company
• Represent the team to executive and customer audiences, presenting results and clear articulation of technical strategy

Requirements:

• 3+ years of combined technical leadership and engineering management
• 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 tradeoffs 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
• Experience building greenfield products and establishing engineering standards for a new team
• Experience in healthcare, insurance, finance, or other high-stakes domains where 'mostly right' is unacceptable
• Familiarity with claims, payments, or coordination-of-benefits and payment-integrity workflows
• Experience designing high-throughput rules or decisioning engines that evaluate logic against large data volumes in near real time
• Experience operating systems on regulated data (PHI/PII), including the security and compliance controls production healthcare requires
• Experience shipping AI- or ML-driven features in production, including how they are evaluated and earn the business's trust
• Track record defining and owning business-trusted metrics such as precision/recall and dollar-weighted impact
• Experience with lightweight operational practices such as on-call, incident review, and release management