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.

Responsibilities

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; 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

Requirements

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

Nice to have

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

Benefits

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