Scale AI

Solutions Engineering Lead, Healthcare & Life Sciences

Scale AI$212K — $265K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in a customer-facing technical role; hands-on development in Python or similar.
  • Proven experience mentoring or leading technical teams, prioritizing tech leadership over job title.
  • Background in healthcare or life sciences with knowledge of PHI, HIPAA, and data validation requirements.
  • Exceptional presentation skills to engage clinical and engineering stakeholders at all levels.
  • Demonstrated intellectual curiosity and adaptability in a fast-paced environment.

Responsibilities

  • Manage and grow a small team of Solutions Engineers, focusing on expectations and career development.
  • Engage directly with strategic healthcare accounts, providing hands-on support in technical demonstrations.
  • Develop the vertical's technical playbook with reusable architectures and evaluation frameworks.
  • Act as the domain expert on deploying Generative AI in compliance with healthcare regulations.
  • Collaborate closely with sales and GTM leadership to strategize account approaches and deployments.
  • Work alongside software and machine learning engineers during the solution design and implementation phases.
  • Convey insights from customer interactions to influence product and engineering roadmaps.

Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits.
  • A learning and development stipend.
  • Generous paid time off.
  • Possible commuter stipend.
Full Job Description
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. You'll set the technical bar for how Scale sells and deploys into regulated healthcare environments, build the reusable assets and playbooks your team runs on, and be the person Sales, Product, and Engineering turn to when a deal hinges on a hard clinical or compliance question.
You will:
  • 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.
Ideally you'd have:
  • 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.


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$212,000-$265,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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