Technical Engineering Manager | COB Product
Lead a 5-6 person engineering team building a new greenfield AI-powered Coordination of Benefits (COB) product from the ground up. Set technical direction and architecture for scalable cloud-native rules engine and claims pipeline while partnering closely with product, ML, and operations.
About the job
What You'll Do
Engineering & Team Leadership
- 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
Cross-Functional & Stakeholder Leadership
- 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
What You Bring
- 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
Strongly Preferred
- 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
What We Offer
- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
Skills
Java, Go, Scala, Rust, Docker, Kubernetes, Microservices, AI, Machine Learning, Rules Engine, Claims Pipeline
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