Jobs at Lyra Health

Leads enterprise technology projects supporting revenue and accounting operations. Responsibilities include gathering requirements, translating them into functional specifications, managing Salesforce configuration and integrations, overseeing project plans and risks, improving business processes, and supporting end users. The role partners across Sales, Finance, Legal, Operations, Product, Data, and Engineering, with a focus on billing, revenue cycle, claims, and Salesforce-based applications.

Leads a team of Customer Success Managers, driving retention, renewals, revenue expansion, customer satisfaction, forecasting, risk management, executive client engagement, and cross-functional collaboration. The role oversees team development, operational consistency, KPI performance, escalations, strategic reporting, and customer relationship management within the employer-sponsored health benefits space.

Leads the Product Implementation team, overseeing product and policy rollouts across provider and client audiences. Develops scalable implementation and launch playbooks, manages change communications, translates clinical and operational priorities into product requirements, and coordinates Product, Engineering, Systems Architecture, Clinical, and business stakeholders. The role also manages team performance, resolves cross-functional risks, supports Salesforce and EHR infrastructure alignment, and evaluates launch adoption and operational metrics.

Lead Lyra Health’s global accounting organization across accounting operations, consolidated reporting, treasury, and financial controls. Build scalable processes, systems, talent, and public-company-ready infrastructure, including SOX compliance and SEC-quality reporting. Drive accounting transformation through standardization, automation, AI, and continuous improvement while strengthening cash management and financial reporting. Partner with senior leadership, develop accounting talent, and ensure compliance with U.S. GAAP and evolving accounting standards.

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.

Provides brief financial consultations to clients in the Philippines through telephonic sessions. Responsibilities include scheduling sessions, maintaining accurate documentation, meeting professional and ethical standards, using digital case-management tools, and coordinating with Lyra’s care and operations teams to support effective service delivery and client experience.

Supports the Chief People Officer through complex calendar and travel coordination, confidential HR information management, executive communications, board and committee preparation, and stakeholder alignment. Oversees Santa Monica office operations, including facilities, vendors, access badges, supplies, catering, mail, events, budgets, expenses, and workplace logistics. Serves as an on-site company ambassador and supports a welcoming, productive hybrid workplace.

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.

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.

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.

The Affiliate Psychology Counsellor provides in-person counseling services, manages client scheduling, and handles session confirmations, while ensuring timely data updates and maintaining excellent communication with clients.

Build and maintain data ingestion pipelines from Salesforce and other sources using REST APIs, AWS S3, and Airflow. Develop dbt models using Medallion architecture, maintain dimensional models with Type 2 SCDs and star schemas, and support Snowflake data warehouses for BI reporting. Collaborate with stakeholders and international team members to enhance data infrastructure, share best practices, and mentor colleagues.

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.