Solutions Engineering Lead, Healthcare & Life Sciences

Scale plays a vital role in the development of AI applications, and healthcare and life sciences is one of the highest stakes places that work lands.

As Solutions Engineering Lead for Healthcare & Life Sciences, you'll be a player-coach: managing and growing a team of 3 to 5 Solutions Engineers while personally owning our most strategic accounts in the vertical.

Responsibilities

• Manage, coach, and grow a team of 3 to 5 Solutions Engineers, setting expectations, running deal reviews, developing careers, and hiring as the vertical scales.
• Personally own the technical win on our most strategic healthcare and life sciences accounts, staying hands-on in demos, prototypes, and architecture conversations rather than managing from a distance.
• Build the vertical's technical playbook: reference architectures, demo environments, evaluation frameworks, and SOW patterns your team and the broader GTM org can reuse.
• Serve as the domain authority on deploying GenAI under healthcare constraints, including PHI handling and de-identification, HIPAA and HITRUST, validation and audit expectations, and the realities of clinical workflow adoption.
• Partner with AEs and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production deployments.
• Work with forward-deployed Software and Machine Learning Engineers to carry solutions from initial design through early implementation.
• Translate patterns across your accounts into structured, prioritized input for Product and Engineering, and influence the roadmap on behalf of the vertical.

Requirements

• A strong engineering background with significant experience in a customer-facing technical role (solutions engineering, solutions architecture, forward-deployed engineering, or technical consulting), including hands-on development in Python or similar.
• Experience leading or mentoring technical individual contributors. Formal people management is welcome, but a credible track record as a tech lead or team lead matters more than title.
• Direct experience selling, building, or deploying software in healthcare or life sciences, with working fluency in the regulatory and data privacy environment (PHI, HIPAA, and validation requirements).
• Presentation skills with high technical credibility in front of both clinical or executive stakeholders and front-line engineers, plus the intellectual curiosity, empathy, and velocity to operate in a fast-moving vertical.

Nice to Haves

• Hands-on GenAI, LLM, or applied machine learning experience, especially evaluation and model validation in a regulated setting.
• Clinical, biomedical, or pharma domain background (clinical informatics, EHR integration, pharmacovigilance, regulatory affairs, or R&D).
• Experience standing up a new vertical, practice, or team from an early stage.

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• A learning and development stipend
• Generous PTO
• Commuter stipend