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. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
Location: Remote – US Salary Range: $225,000–$260,000 base, plus equity and benefits (MGR level evaluated through our interview process)
The RoleWe're hiring a Technical Engineering Manager to lead the engineering team for Coordination of Benefits (COB). This is a new need as we expand our right payer solutions products! You'll build a scalable, AI-driven, cloud-native solution that transforms how COB is done. Making it faster, more accurate, and more efficient. Our Coordinate product will be core to how we identify overlapping coverage, determine primacy, and recover dollars, ultimately helping reduce the cost of care for millions of members.
You'll be leading the team building this product from the ground up! You will set the technical direction and engineering bar for a new product and a growing team, establishing strong principles from the outset and making sound architectural decisions under genuine ambiguity. You will lead a team of 5–6 engineers that’ll partner closely with product, platform, DS, ML, UX, QA and operations team. This is a great opportunity for someone with high technical ownership to lead a team shaping a product as we build 0-1!
What You'll DoEngineering & 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
- 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
- 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
The salary and level for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
Skills Required
- 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
- Excellent communication skills, including presenting to executives and translating technical tradeoffs
- 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 regulated domains
- Familiarity with claims, payments, or coordination-of-benefits and payment-integrity workflows
- Experience designing high-throughput rules or decisioning engines for large data volumes in near real time
- Experience operating systems on regulated data (PHI/PII), including security and compliance controls
- Experience shipping AI- or ML-driven features in production and evaluating their business impact
- Track record defining and owning metrics such as precision/recall and dollar-weighted impact
- Experience with lightweight operational practices such as on-call, incident review, and release management
Machinify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Machinify and has not been reviewed or approved by Machinify.
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Healthcare Strength — Health coverage is described as employer-paid for employees with additional support for dependents, alongside dental, vision, mental health, and FSA/HSA options. Listings consistently depict comprehensive medical benefits.
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Leave & Time Off Breadth — Policies include unlimited PTO, paid holidays and sick time, and a weekly no‑meetings day. These elements indicate broad time‑off access alongside flexible scheduling.
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Parental & Family Support — Inclusive paid parental leave is stated at 14 weeks for birth and non‑birth parents. Family benefits are prominently featured across public materials.
Machinify Insights
What We Do
Machinify is an AI start-up in the Healthcare space. Our software platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems in the healthcare industry impacting millions of lives.
Why Work With Us
We are a heavily cross-functional, collaborative diverse team working together to solve big problems that matter. If you are looking for an exciting environment where you'll be challenged to do the best work of your career, consider joining us!
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