# Solutions Engineering Lead, Healthcare & Life Sciences

**Company**: Scale
**Location**: New York, NY
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $212,000-$265,000 USD
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4735192005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3a62220c-d24

## Description

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

## Skills

### Required
- Python
- solutions engineering
- technical consulting
- HIPAA
- HITRUST

### Nice to have
- GenAI
- LLM
- applied machine learning
- clinical informatics
- EHR integration

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4735192005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)