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About the Role
As Solutions Engineering Lead for Healthcare & Life Sciences, you'll manage and grow a team of 3 to 5 Solutions Engineers while personally owning our most strategic accounts in the vertical. You'll set the technical bar for how Scale sells and deploys into regulated healthcare environments, build reusable assets and playbooks, and serve as the go-to person for technical sales, product, and engineering challenges.
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.
- Own the technical win on strategic healthcare and life sciences accounts, staying hands-on in demos, prototypes, and architecture conversations.
- Build the vertical's technical playbook: reference architectures, demo environments, evaluation frameworks, and SOW patterns.
- Serve as the domain authority on deploying GenAI under healthcare constraints, including PHI handling, HIPAA and HITRUST, validation and audit expectations, and clinical workflow adoption.
- Partner with AEs and GTM leadership on account strategy, technical qualification, and pilot scoping.
- Work with forward-deployed Software and Machine Learning Engineers to carry solutions from initial design through early implementation.
- Translate patterns across accounts into structured input for Product and Engineering, influencing 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).
- Hands-on development in Python or similar.
- Experience leading or mentoring technical individual contributors.
- Direct experience selling, building, or deploying software in healthcare or life sciences.
- 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.
- Intellectual curiosity, empathy, and velocity to operate in a fast-moving vertical.
Skills
- Python
- GenAI
- LLM
- Applied machine learning
- Clinical informatics
- EHR integration
- Pharmacovigilance
- Regulatory affairs
- R&D
Location
- San Francisco
- New York
- Seattle
Work Type
- Full-time
Experience Level
- Lead
- Senior
Salary/Compensations
- $212,000—$265,000 USD
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend (potential)
About the Company
- At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
- Our products provide the high-quality data and full-stack technologies that power the world's leading models.
- We help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
- We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
- We are expanding our team to accelerate the development of AI applications.
Equal Opportunity
- We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
- We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
- We comply with the United States Department of Labor's Pay Transparency provision.