ENGINEERING · MOUNTAIN VIEW
TPM
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About Sully.ai
Sully.ai is building the AI operating system for healthcare. Our mission is to make doctors superhuman through AI, so every patient can get faster, better, and more accessible care.
Healthcare is one of the most important systems in the world, yet clinicians still lose hours every day to documentation, scheduling, intake, coding, and administrative work. We are changing that with AI medical employees: Scribes, Receptionists, Coders, Consultants and other agents that operate inside real clinical workflows.
We are backed by Amity Ventures, YC, Baidu Ventures amongst others, have raised $40M+, and are already deployed across hundreds of healthcare organizations. Our products process tens of thousands of clinical encounters every day, automate millions of minutes of administrative work, and help clinicians spend more time with patients.
The role
As a Technical Program Manager, you will sit at the intersection of customers, product, engineering, and customer success. Your job is to translate ambiguity into execution.
This is not a traditional project management role. You should come from an engineering background with a strong ability to understand (and occasionally apply) system design, APIs, integrations, data flows, and AI product tradeoffs. You should also be operationally strong enough to coordinate complex work across multiple teams and make sure commitments are realistic, visible, and delivered.
You will help us scale how we deploy complex AI products for enterprise healthcare customers.
At its core, this role is about keeping engineering teams organized, prepared, and unblocked. You own the operating rhythm that connects customer-facing teams to engineering, making sure work is scoped before it starts, tracked while it moves, and translated clearly when it lands.
What you’ll do
Translate customer needs into clear execution plans
Work with customer-facing teams to understand customer goals, constraints, and technical requirements.
Convert ambiguous requests into clear problem statements, milestones, dependencies, risks, and acceptance criteria.
Partner with engineering and product teams to determine what should be built, configured, deferred, or solved through process.
Identify when a customer request reflects a broader product opportunity.
Set standards for scoping across the org and follow up to ensure those standards are actually applied.
Drive technical programs from scope to delivery
Own delivery plans for cross-functional technical initiatives.
Define timelines, owners, dependencies, and success criteria.
Track risks and blockers early.
Keep internal teams aligned without creating unnecessary process.
Ensure customer-facing commitments are realistic and consistently met.
Manage Linear as the central work-tracking system: project creation, scoping, and capacity planning.
Prepare engineering teams for incoming work so they can ramp quickly instead of decoding ambiguous requests mid-sprint.
Improve operational leverage
Build lightweight systems for intake, prioritization, scoping, communication, and delivery tracking.
Create repeatable processes that help the company scale customer deployments and technical programs
Find common patterns across customer work so teams can solve reusable problems instead of rebuilding one-off solutions.
Help leadership and teams understand what is on track, what is blocked, and what needs escalation.
Follow up on logistical items that unblock teams: EHR credentials, CS/sales enablement info, and other dependencies that stall execution if no one owns them.
Partner across functions
Work closely with engineering, product, customer success, sales, and implementation teams.
Communicate technical tradeoffs clearly to both technical and non-technical audiences.
Balance customer urgency with engineering reality.
Help teams make better prioritization decisions under ambiguity.
Act as the central bridge between customer-facing teams and engineering: translate completed engineering work into region