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.

• 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

• 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

• 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

• 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

• 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

• 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