Top Tech Jobs & Startup Jobs

Owner of strategic relationships for large, multi-national employer partners. Develop account strategies, lead C-suite conversations, present data-driven VOI/ROI, align product roadmap, drive engagement, mitigate risks, and collaborate cross-functionally to ensure renewals and customer success.

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

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.

The Privacy and AI Counsel will support Lyra's privacy program, manage AI-related legal issues, advise stakeholders, ensure compliance, and lead projects related to privacy and AI governance.

The VP of Client Services will lead the strategic vision and operations of the Care Navigator Team, focusing on service excellence, data analytics, and cross-functional collaboration to enhance member care and drive enterprise growth.

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.

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.