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Salary: USD 212,000 - 265,000 / annual
Scale is seeking a Solutions Engineering Lead for Healthcare & Life Sciences to lead a player-coach role managing and growing a team of 3–5 Solutions Engineers while personally owning the company's most strategic healthcare and life sciences accounts.
In this role, you will manage, coach, and develop Solutions Engineers while setting expectations, running deal reviews, and hiring as the vertical scales. You'll personally own the technical win on strategic healthcare and life sciences accounts, staying hands-on in demos, prototypes, and architecture conversations. You'll build the vertical's technical playbook—including reference architectures, demo environments, evaluation frameworks, and SOW patterns—that your team and the broader GTM organization can reuse.
You'll serve as the domain authority on deploying generative AI under healthcare constraints, including PHI handling and de-identification, HIPAA and HITRUST compliance, validation and audit expectations, and the realities of clinical workflow adoption. You'll partner with Account Executives and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production deployments. Working with forward-deployed Software and Machine Learning Engineers, you'll carry solutions from initial design through early implementation. You'll also translate patterns across accounts into structured, prioritized input for Product and Engineering, influencing the roadmap on behalf of the vertical.
Scale plays a vital role in developing reliable AI systems for the world's most important decisions. The company provides high-quality data and full-stack technologies powering leading AI models, helping enterprises and governments build, deploy, and oversee AI applications. Scale works with industry leaders including Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies.
REQUIREMENTS:
- 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/executive stakeholders and front-line engineers, plus 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.
