Jobs at Lyra Health

Provide neuropsychological assessments and evaluations, collaborate with care teams, supervise psychometrists, and communicate results to clients and families.

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.

Lead and grow a team of Customer Success Managers to drive member engagement, retention, revenue expansion, and KPI accountability. Manage forecasting, risk mitigation, executive client engagement, cross-functional collaboration, reporting, and escalations across employer-sponsored health segments.

Provide comprehensive neuropsychological evaluations and collaborate with clients and families. Interpret test batteries, oversee psychometrists, and collaborate with multidisciplinary teams.

Lead TA data strategy by designing TA data architecture, building scalable pipelines and dashboards, creating predictive capacity and hiring models, ensuring data governance and compliance, and translating insights into executive-level storytelling to guide resourcing and hiring decisions.

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.

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 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.

Lead and mentor a Customer Success team managing health system, health plan, and referral partner portfolios. Drive retention strategy, executive relationships, cross-functional advocacy, operational excellence, performance tracking, and large-scale engagement campaigns. Communicate clinical outcomes and support finalist/prospect presentations.

Manage and expand customer relationships, drive upsell opportunities, partner with Customer Success Managers, and maintain accurate Salesforce records.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

The VP of Data and AI will define and execute data and AI strategies, lead technical teams, oversee data platform infrastructure, and drive measurable business outcomes.

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.

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.