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Machinify

AI-driven healthcare operations optimization platform

Senior Engineering Manager – Tech Lead - COB Product

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 3 years of combined technical leadership and engineering management experience.
  • At least 8 years building production backend services and applications.
  • Hands-on experience building and operating microservice architectures using containers and orchestration, including Docker and Kubernetes, with strong observability.
  • Proficiency in at least one of Java, Go, Scala, or Rust.
  • A proven track record hiring, developing, and managing high-performing engineering teams, including performance management.
  • Demonstrated success leading cross-functional initiatives and aligning product, machine learning, and business stakeholders toward shared outcomes.
  • Ability to translate technical tradeoffs for non-technical audiences and present to executives.
  • 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.
  • A BS or MS in Computer Science, or equivalent experience.

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 engineering standards, operational practices, and delivery rhythm appropriate to an early-stage greenfield product.
  • Guide the design of the core rules engine, claims pipeline, and AI innovation that makes Coordination of Benefits determinations more accurate and efficient.
  • Drive platform decisions for extensibility, scalability, and security as CORA onboards new payers and handles regulated healthcare data.
  • Partner with product, machine learning, user experience, and operations teams 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 to closure.
  • Define and report metrics demonstrating engineering and product impact to leadership and partner teams across the company.
  • Represent the team to executive and customer audiences, presenting results and clearly articulating technical strategy.

Desired Qualifications

  • 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 results are 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, including protected health information and personally identifiable information, with the security and compliance controls required for production healthcare.
  • Experience shipping AI- or machine-learning-driven features in production, including how they are evaluated and earn business 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.

About the Company

Machinify

AI-driven healthcare operations optimization platform

Machinify uses artificial intelligence to optimize decision-making in healthcare. It provides AI-driven applications that improve operational efficiency for health plans, payers, and providers, acting as a central nervous system to manage data-driven decisions. Its products streamline processes like claims processing and utilization management by deploying a growing portfolio of applications on the Machinify platform, designed for fast implementation and immediate ROI. Differences from competitors include an AI-first platform tailored to healthcare administration, a rapid deployment model, and a customer-focused approach that aims to deliver tangible results quickly. The company’s goal is to transform healthcare administration by reclaiming control over healthcare expenditures and improving efficiency and patient outcomes through data-driven decisions.

Company size
1,001-5,000
Company stage
Series A
Total funding
$15.6M
Headquarters
Palo Alto, CA
Founded
2016

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