Jobs at Lyra Health

Provide comprehensive neuropsychological evaluations, interpret test results, collaborate with care teams, and conduct client feedback sessions in a flexible work environment.

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.

Contract Recruiter will source, screen, and manage the full recruitment lifecycle for licensed mental health therapists across specified geographies, serving as primary provider contact and evaluating candidates to expand Lyra's Clinical Provider Network.

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.

Maintain and enhance Zendesk instances and integrations, implement Zendesk AI features, administer configurations and business rules, develop documentation, troubleshoot issues, optimize performance, provide technical guidance, and build reports and dashboards with Zendesk Explore.

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.

Lead a small engineering team as a hands-on technical manager: design, develop, and deploy core product functionality; grow and scale the team; collaborate with product, data, and clinical partners; enforce software development and deployment best practices.

The role involves enhancing Salesforce instances, integrating complex systems, configuring Service Cloud features, and collaborating with stakeholders to optimize business processes

Lead architecture and technical strategy for Lyra's ML and generative AI platform. Design training, fine-tuning, and low-latency inference infrastructure (RAG, vector DBs), set ML/AI SDLC standards (dataset lineage, CI/CD, evaluation, monitoring), partner with cross-functional clinical and product teams, mentor senior engineers, deliver prototypes and critical code, and ensure secure, reliable production ML systems.

Build and maintain ML and generative AI tooling, training and inference platform services, model evaluation and testing frameworks, and APIs to expose ML products. Deploy and manage applications across the AI/ML SDLC, mentor teammates, and write production-quality code daily.

Design and evaluate predictive and generative models, extract insights from disparate clinical and product data, build and partner on data pipelines, run rigorous evaluations and experiments, and deliver time-sensitive ad hoc analyses to product, engineering, and clinical stakeholders.

Lead a small engineering team as a hands-on technical manager to design, develop, and deploy core product features. Hire, scale, and mentor engineers while ensuring high quality, security, and best practices. Collaborate with Product, Data, and Clinical partners and drive execution for a new health plans and systems vertical and Bend Health platform work.

Lead development, commercialization, and lifecycle management of employer mental-health solutions. Align product, clinical, ops, GTM, and finance teams to define packaging, pricing, SLAs, KPIs, and market positioning. Enable field teams, track performance, gather customer feedback, and iterate to optimize adoption, revenue, margin, and customer satisfaction.

Deliver live and virtual trainings, develop and customize research-backed educational content on workplace mental health, consult as an internal subject matter expert, review external materials for clinical accuracy, and support recruiting, onboarding, and training of presenters and facilitators.

Lead planning and execution of high-impact marketing initiatives: build and manage timelines and sprints in Asana, coordinate cross-functional stakeholders, align agencies and contractors, track projects from brief to final delivery, manage reviews/approvals and content libraries, act as brand steward, and proactively resolve scope, timeline, and resourcing risks.

Design, develop, and deploy Python- and Java-based scalable REST APIs for a multi-tenant web platform. Collaborate with product, data science, and clinical partners, and ensure software quality, security, and engineering best practices.

Lead product strategy and execution for data and AI platforms, driving GenAI/LLM initiatives, cross-functional collaboration, responsible AI governance, experimentation (A/B testing), measurement of model impact, and mentoring product teams to embed scalable ML capabilities into clinical and member experiences.