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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams and delivering AI and ML products, with a strong focus on connecting technical outcomes to business value and customer satisfaction. Proficient in managing complex systems, data models, and workflows while fostering collaboration across engineering, science, and product teams.
Highest-signal resume keywords
Engineering Team LeadershipAI And ML Product DeliveryData Pipeline ManagementPython And GCP ProficiencyHealthcare Revenue-Cycle Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Product DevelopmentMachine Learning ImplementationData ModelingAPI DevelopmentFull-Stack Workflow ManagementTechnical Architecture GuidanceOptimization TechniquesExperimentation StrategiesFeedback-Driven ML ProductsDecision Systems
Soft Skills
Coaching And MentoringCommunication And AlignmentProblem-Solving In AmbiguityAccountability CreationTechnical Debate Facilitation
Tools & Technologies
PythonGoogle Cloud PlatformAI-Enabled Development ToolsData SystemsLLM-Enabled Capabilities
Industry Keywords
HealthcareProvider ReimbursementRevenue-Cycle ManagementClaims ManagementIndependent Dispute Resolution
Tech Stack
Tools & technologiesGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Lead the Case Strategy Engineering team
- Own engineering outcomes that improve incremental reimbursement delivered to customers and connect the technical roadmap to customer value and ARR
- Own data models, databases, APIs, services, and full-stack workflows applying case strategies throughout the IDR process
- Partner with Science and AI Platform teams to move AI and ML capabilities from experimentation into reliable product experiences
- Build systems that capture outcomes, surface signals, and feed real-world results into model development and strategy improvement
- Set priorities, coach engineers, create accountability, and support rigorous technical debate
- Hire engineers and establish organizational roles, ownership boundaries, and operating practices
- Turn ambiguous product and technical problems into plans, sequence work, manage dependencies, and ensure consistent delivery
- Guide architecture across Python services, GCP infrastructure, data systems, LLM-enabled capabilities, and customer-facing applications
- Use AI-enabled development tools to explore ideas, prototype solutions, and contribute directly when useful
- Report to the Director of Product Engineering
Requirements
What you’ll need- 7+ years of experience as an individual contributor building and leading engineering teams in early-stage environments
- 2+ years of experience as an engineering manager
- Strong individual-contributor foundation and technical depth to guide architecture and evaluate tradeoffs
- Experience delivering production AI or ML products, or managing engineering work in partnership with data-science or applied-science teams
- Understanding of reliable systems around models, including data pipelines, feedback loops, APIs, monitoring, and product workflows
- Ability to lead through ambiguity and imperfect data
- Experience managing experienced, opinionated engineering teams
- Ability to connect engineering work to business and customer outcomes, including ARR
- Ability to communicate technical decisions and create alignment across Engineering, Science, Product, and other partners
- Experience in healthcare, provider reimbursement, revenue-cycle management, claims, or Independent Dispute Resolution (extra credit)
- Experience with optimization, experimentation, decision systems, strategy models, or feedback-driven ML products (extra credit)
- Experience scaling an early engineering team or building production AI systems using Python, GCP, and LLMs (extra credit)
- Must be authorized to work in the United States without current or future employer sponsorship
Benefits
Comp & perks- Equity
- Full health, dental, and vision coverage
- Retirement savings plan through 401(k)
- Flexible time off
- Opportunities for company-wide connection and events
- Remote and hybrid flexibility varies by role and team