PRINCIPAL, TECHNOLOGY ENGINEERING

Job Description About Concurrence At Concurrence, we're building the clinical AI infrastructure that health systems, life sciences companies, payors, and government agencies run their patient-facing care on. Our agents work across the whole patient journey: pre-visit intake, care navigation, post-visit care plans, and ongoing monitoring. Our mission is to make excellent care accessible to every patient, not rationed by the limits of clinician time.

So instead of layering another point solution on top, we’re rebuilding the medical record as a timeline of clinical events and running agents on top of it that improve with every patient interaction. Unlike single-purpose chatbots or scribes, Concurrence is the platform our customers use to build their own agents. That means our work has to hold up across specialties, workflows, and regulatory environments and not just one narrow use case.

Our work is validated through partnerships with leading academic medical institutions. We’re fresh off our Series A, backed by Tier 1 VCs such as Madrona, General Catalyst, and Optum Ventures.

We care deeply about craft, clinical rigor, and the speed at which good ideas reach patients. About this role As Head of Forward Deployed Engineering at Concurrence, you'll lead the Forward Deployed Engineers and Deployment Strategists who deploy our technology inside major health systems, life sciences, payor organizations, and government entities. We're the infrastructure our customers build their agents on, and the Applied AI team is how that platform becomes agents clinicians and patients actually use.

You're accountable for what the field delivers end to end, from fast time-to-value to real clinician adoption to Concurrence's expansion inside each account. The core of the job is building the team, the playbooks, and the quality bar as Concurrence takes on more customers with deeper integrations. You'll be working with product, growth, and leadership to shape Concurrence's field and platform strategy.

Hiring and growing the field team, and developing the leaders inside it

Owning Applied AI-wide outcomes across the customer portfolio, from time-to-value to clinician adoption to customer health

Setting the reference architectures, standards, and playbooks that every deployment is built within

Acting as the team’s voice to product and leadership on what customers need and where the platform goes next

Staying close to the hardest deployments and most senior stakeholders to hold the line on scope, timelines, and quality

Experience leading customer-facing delivery, forward-deployed, or solutions teams, ideally in healthcare technology, enterprise SaaS, or consulting

Direct experience in healthcare delivery environments (clinical operations, hospital administration, or health system strategy)

Real technical depth, you've shipped production software or AI systems and can make architecture and tradeoff calls with your engineers, not around them

Demonstrated ability to build trusted relationships with senior stakeholders across clinical leadership, IT, operations, finance, and compliance

Strong business acumen, comfortable with ROI models, unit economics, and quantifying operational impact

Able to work on site in New York City or San Francisco

Benefits (available to Full-Time Employees)

Comprehensive health, dental, and vision insurance

Flexible wellness stipend for fitness, therapy, or personal growth

Annual learning budget for courses, books, or conferences

Conference attendance budget for professional development

Academic collaboration opportunities

If we can't draw the line, we question why we're doing it.

• You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them.
• In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance.