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Head of Engineering, Platform

Sully.AI - US - Remote, US - Bay Area

Posted Mar 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Deadline
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Where they hire

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About this role

Head of Engineering, Platform US - Remote, US - Bay Area About Us At Sully.ai , We're Building the Most Impactful Healthcare Company on Earth We believe that access to a great doctor is a basic human right. Today, that's not a reality. Delays, misdiagnoses, administrative chaos, and burnout plague the system. Our Mission One Human, One Doctor . We enable our customers to staff 30% of their workforce with AI by creating a shared agent architecture for scale and efficiency. All powered by our own patented, world-class models and deployed in real-world care. About the Role Sully automates clinical documentation at the point of care. Real-time ambient listening, structured medical notes, and agentic AI workflows embedded in the EHR. We're live in 270+ clinics, have processed 2M+ real physician-patient encounters, and run on custom medical models that outperform GPT, Claude and Gemini on clinical benchmarks. We're not a wrapper company. We're hiring a hands on Head of Engineering, Platform to take full ownership of Sully's platform domain: the agentic scribe pipeline, copilot backend, AI workers, EHR integration layer, and the infrastructure that ties them together. Platform is the engine: Every note generated, every EHR sync, every real-time AI action in a patient visit runs through what you build. You will be the DRI for platform architecture, reliability, latency, and execution, from design through on-call. ─── What You'll Own • End-to-end platform engineering: Agentic scribe pipeline, copilot-backend, AI workers, EHR sync, multi-tenant infrastructure, and real-time audio processing • Drive-function latency

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