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Assort Health

AI-powered healthcare call center automation

Head of Forward Deployed Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of software engineering experience and at least 2 years leading customer-facing technical teams.
  • A track record of scaling technical implementation or deployment teams in fast-growing B2B or enterprise software companies.
  • Strong technical fundamentals and hands-on ability to design, build, and debug production systems alongside the team.
  • Ability to balance customer needs, technical feasibility, and engineering velocity, including deciding when to build custom solutions versus advocating for platform solutions.
  • Experience building repeatable processes and tooling to scale implementation work.
  • Ability to communicate with C-suite healthcare executives, technical teams, and internal stakeholders.
  • Willingness to travel to customer sites and be embedded with healthcare organizations during critical implementations.

Responsibilities

  • Scale the Forward Deployed Engineering team, including hiring, coaching, and developing a high-performing organization.
  • Own end-to-end technical delivery for the most strategic customers.
  • Partner with cross-functional teams to translate customer needs into scalable technical solutions and influence the product roadmap based on field insights.
  • Establish deployment patterns, best practices, and internal tooling that enable the team to work faster and scale more efficiently.
  • Drive the field-to-product feedback loop by identifying implementation patterns that should become platform features and working with product engineering to build them.
  • Lead technical discovery with strategic accounts, debug production issues, and set the technical bar for the team as needed.

About the Company

Assort Health

AI-powered healthcare call center automation

Assort Health provides AI-powered call center support for healthcare providers, automating tasks like scheduling, follow-ups, prescription refills, and eligibility checks to improve efficiency and patient experience. The AI assistant works within the provider’s workflow, handling real-time changes and coordinating with patients and clinicians, while continuously monitoring quality to maintain service integrity. It integrates with healthcare systems using open standards like HL7, FHIR, and CSV and is offered as a subscription with tailored implementation plans. Its goal is to reduce staffing pressure, improve call resolution rates, and deliver a more patient-centric experience by automating administrative work and optimizing scheduling.

Company size
201-500
Company stage
Series C
Total funding
$221.5M
Headquarters
San Francisco, CA
Founded
2023

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