Engineering Manager

We are looking for an Engineering Manager to lead and scale the team behind Payer Intelligence - the platforms that automate prior authorization review end to end, from provider intake through AI-driven medical necessity determination. You will own the people, process, and technical direction for a multidisciplinary group spanning backend services, AI/ML engineering, and frontend product work. You are as comfortable in a 1:1 coaching conversation as you are debating an eval strategy or an architecture review, and you thrive when you can connect your team's work to meaningful health outcomes.

Key Responsibilities

People Leadership & Development

Directly manage a team of engineers across backend, AI/ML, and frontend disciplines

Drive performance management cycles: goal-setting, mid-year check-ins, year-end reviews, and performance improvement plans when needed

Partner with recruiting to attract, hire, and onboard top engineering talent, including AI-focused roles where the hiring bar is still being defined industry-wide

Build and sustain a culture of psychological safety, continuous feedback, and high accountability

Identify individual growth opportunities and create development plans tailored to each teammate's career goals

Technical Oversight

Provide technical direction and quality standards across Go backend services, Python AI actions, and Vue 3 / TypeScript frontends

Own the reliability and cost profile of AI/ML pipelines: model selection/upgrades, prompt and context engineering, structured output, document ingestion and OCR, and multimodal handling of clinical PDFs

Champion a rigorous evaluation practice: golden datasets, regression suites for model and prompt changes, accuracy and drift monitoring, and clear rules for what ships to production

Participate in architecture and design reviews; ensure decisions balance speed, maintainability, and scalability

Champion engineering best practices: code review culture, automated testing, CI/CD, Terraform-managed infrastructure, and observability

Delivery & Execution

Own roadmap execution for the Payer engineering, partnering closely with Product, Design, and Clinical teams

Coordinate work that spans multiple projects, where a single feature often touches a Python action, the Go API, and multiple frontends

Remove blockers, manage dependencies, and create predictable delivery rhythms via agile practices

Track and communicate progress, risks, and trade-offs to engineering leadership and cross-functional stakeholders

Drive continuous improvement in team velocity, quality, and developer experience

Cross-Functional Collaboration

Act as the engineering point-of-contact for Product, Clinical Operations, and payer and provider-facing stakeholders

Translate clinical and regulatory requirements (medical necessity criteria, CMS program rules) into clear technical scope and feasibility assessments

Represent AI capabilities and limitations honestly to non-technical audiences, including where a human reviewer stays in the loop

Partner with the broader engineering leadership team on org-wide standards, tooling, and planning

Required Qualifications

5+ years of software engineering experience, with at least 2 years in an engineering management or team lead role

Hands-on depth in at least one of the languages in our stack - Go, Python, or TypeScript - strong enough to read and review code, understand architectural trade-offs, and ask the right questions. Working familiarity with the others, or the appetite to build it quickly

Practical experience with modern AI technologies: building or leading work on AI-powered products, including prompting, structured output, retrieval, agentic or multi-step pipelines, and evaluation of non-deterministic systems

Demonstrated experience hiring engineers and conducting full-cycle technical interviews

Proven track record in performance development: delivering meaningful feedback, managing performance, and growing engineers at multiple levels

Experience shipping and operating distributed services in production: containers, Kubernetes, CI/CD, and incident response

Comfort with relational data modeling and SQL

Strong written and verbal communication skills - you write crisp specs, give direct feedback, and tailor your message to technical and non-technical audiences

Preferred Qualifications

Experience in healthcare, health-tech, or other regulated industries; familiarity with prior authorization workflows is a significant plus

Familiarity with FHIR, HL7, CRD/DTR/PAS, or other healthcare data standards

Hands-on experience with Azure (or similar cloud provider) and infrastructure-as-code via Terraform

Experience with gRPC / protobuf service architectures

Background in document AI: OCR, PDF parsing, and structured extraction from unstructured clinical documents

Vue 3 experience; React or Angular is sufficient

Background contributing to engineering culture initiatives: leveling frameworks, interview training, onboarding programs

🚀 Why Join Humata Health?

Impactful Work: Contribute to innovative solutions that improve healthcare efficiency and patient outcomes

Remote Flexibility: Enjoy working remotely while being part of a collaborative team, with access to our new office in Winter Park, FL

Competitive Compensation: Enjoy competitive base compensation, equity through our Employee Stock Option Plan, and bonus-eligible roles

Comprehensive Benefits: Full benefits package including unlimited PTO and 401k program with employer match

Growth Opportunities: Advance your career in a fast-paced, high-impact environment with ample professional development

Inclusive Culture: Join a diverse workplace where your ideas and contributions are valued

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Pay Transparency

Humata Health will provide pay transparency information upon application to those in qualifying jurisdictions.

Our salary ranges are based on competitive pay for our company’s size and industry. They are one part of the total compensation package that may also include equity, variable compensation, and benefits. Individual pay decisions are ultimately based on several factors, including qualifications, experience level, skillset, geography, and balancing internal equity.

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Humata Health is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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Join us in our mission to transform healthcare while building a life that works in harmony both in and outside the office.