Jobs at Lyra Health

Leads global accounting transformation initiatives to improve operating-model maturity, process standardization, automation, technology enablement, controls, and public-company readiness. Responsibilities include assessing current-state capabilities, redesigning accounting processes, managing project plans, implementing finance technology solutions, preparing for SEC-compliant reporting, and leading organizational change across functions and geographies.

Coordinate health plan integrations, translating payer requirements into eligibility, claims, billing, and automated workflow configurations. Serve as the primary liaison among payers, customers, and internal Sales, Product, Engineering, Billing Operations, and Customer Success teams. Implement and troubleshoot integrations, manage project plans and milestones, support annual benefit updates, maintain data integrity, and proactively resolve risks and issues.

Owns the development, commercialization, performance, and lifecycle of new health plan and health system solutions. Responsibilities include solution packaging, pricing, positioning, sales enablement, customer engagement, KPI management, and roadmap influence. The role partners cross-functionally with Sales, Product, Clinical, Finance, Network, Marketing, and Enablement teams to launch and optimize technology-enabled services.

Leads Lyra Health’s AI/ML engineering roadmap, scales and mentors machine learning teams, and drives production-grade systems for clinical applications. Responsibilities include people leadership, quarterly planning, technical architecture, design reviews, model governance, ML SDLC oversight, and deployment of reliable microservices on Kubernetes. The role partners with product, data science, and clinical stakeholders while ensuring safety, operational excellence, cloud scalability, and compliance for sensitive healthcare data.

Drive go-to-market planning and operations initiatives that support profitable growth. Responsibilities include territory planning, account assignments, pipeline and forecast analysis, customer segmentation, quota and booking analysis, dashboard development, business case creation, operating goal setting, and cross-functional program management. The role partners with sales, marketing, customer success, product, finance, analytics, and clinical operations to optimize GTM efficiency, revenue growth, investments, and scalable operating processes.

Administers Lyra Health’s variable compensation program for sales and customer success teams. Responsibilities include calculating and auditing incentive payouts, managing CaptivateIQ integrations and payout logic, maintaining sales data integrity, developing commission dashboards, modeling compensation plans, supporting audits, optimizing workflows, and advising sales representatives on commission policies and inquiries.

Provide frontline technical support to providers and clients by managing ticket queues, meeting response SLAs, troubleshooting hardware and platform issues, maintaining technical FAQs, answering programmatic questions, escalating complex issues, and training new providers. The role requires strong communication, remote troubleshooting, ticketing-system expertise, platform knowledge, and familiarity with Jira. Preferred experience includes SQL Server, Salesforce, Chromebook support, Sentry, and Mixpanel.

Leads engagement strategy and a team of seven marketing professionals delivering data-driven member communication programs. Owns annual planning, budgets, operational governance, AI integration, scalable marketing playbooks, performance analysis, and targeted account interventions. Partners with Customer Success, Operations, Product, Brand Marketing, Analytics, and Finance to improve utilization, customer outcomes, retention, and operational efficiency across complex employer accounts.

Develop and optimize global Employer Solutions pricing strategy to drive revenue, retention, and profitability. Analyze market and customer data, build financial models, translate pricing into sellable structures, and guide deal strategy. Partner cross-functionally with Finance, Product, Sales, Customer Success, Clinical Operations, and Product Marketing on quoting tools, deal desk parameters, enablement, and operational scalability.

Lead Lyra Health’s enterprise strategic planning, business unit alignment, M&A strategy, market-entry initiatives, competitive positioning, and executive communications. Partner with senior leaders across employer, health plan, and health system businesses to develop growth strategies, investment theses, operational models, and value-creation plans. Prepare materials for the board, executives, and investors while managing and mentoring strategy team members.

The Corporate Strategy Manager builds financial models, forecasts, and unit economics analyses; tracks competitors, market trends, and regulatory changes; evaluates M&A and build-versus-buy-versus-partner opportunities; supports annual planning; and develops executive-ready PowerPoint presentations. The role partners across business units to turn quantitative and market insights into strategic recommendations for growth, investment, product, and market-entry decisions.

Build and maintain scalable ML and generative AI platforms and backend infrastructure; deploy and manage production applications; create services exposing ML/AI products; implement RAG solutions and vector databases; integrate LLM orchestration and foundation model APIs; collaborate cross-functionally and mentor teammates.

Lead design, training, fine-tuning, and deployment of ML and generative models (LLMs, diffusion). Build scalable MLOps pipelines, vectorization and data ingestion, integrate models into microservices for low-latency inference, implement evaluation/alignment/bias-mitigation, optimize models (quantization, distillation), and mentor engineers while influencing the AI product roadmap.

Build and deploy AI-powered tools, agents, and automations that improve internal workflows across Lyra Health. Partner with business and clinical teams to identify opportunities, translate ambiguous needs into software, and own solutions from discovery through adoption and measurable impact. Integrate AI capabilities with Python and Java microservices, web and mobile applications, and third-party systems. Evaluate emerging AI tools, promote agentic development practices, track efficiency metrics, and ensure responsible handling of sensitive healthcare data.

Design, implement, and maintain AWS cloud infrastructure; modernize platform tooling and EKS footprint; optimize managed datastores; build self-service CI/CD, developer templates, and automation; enforce IAM/security controls and compliance; monitor performance and collaborate with engineering and ML teams.

Embed with internal teams to map workflows and build AI-powered tools, agents, and automations. Own full lifecycle from discovery to deployment, adoption, measurement, and iteration. Integrate solutions with Python/Java microservices, web and mobile apps, and third-party systems. Run experiments on emerging models and agentic frameworks, track efficiency metrics, and collaborate with product, design, data science, security, and clinical partners.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Build and maintain backend services and infrastructure for ML and generative AI features. Develop scalable, resilient, high-performance Python services (async frameworks, streaming), deploy to Kubernetes, integrate RAG and LLM orchestration, instrument LLM observability, and collaborate cross-functionally to deliver production-ready AI products.

Manage high-volume provider onboarding and training operations including facilitating live/asynchronous sessions, administering WorkRamp LMS, optimizing EHR/tech setups, tracking training engagement, owning lifecycle logistics, serving as provider liaison, identifying process improvements, and maintaining training materials in Salesforce, Zendesk, and Google Suite.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.