Team Lead, Support Engineer

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. In just 18 months, our AI products (Scribe, Comms, Evidence, Remote) have absorbed the administrative chaos of 73 million patient visits. Today, we support over 2.5 million patient sessions a week across 190+ countries.

Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart.

We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again.

If you want to build something way bigger than yourself, jump in.

We're looking for a Support Engineering Team Lead to drive the engineers at the sharp end of customer problems — the team that investigates, triages, and resolves the hardest technical issues customers hit, and turns those signals into lasting product and tooling improvements.

This is a high-agency, player-coach role designed for someone who:

• Is technical enough to dive into logs, traces, and code to root-cause a gnarly customer issue — and leads by example doing it

• Gets energy from growing people: coaching engineers, raising the bar on investigation quality, and building durable team rituals

• Thinks in systems: replaces recurring toil with tooling, runbooks, and automation rather than re-solving the same ticket

• Owns outcomes end-to-end: queue health, turnaround time, escalation quality, and the feedback loop back into Product and Engineering

You'll lead the Support Engineering team and partner closely with Customer Support, Customer Success, Product, and core Engineering to resolve issues fast and make Heidi more reliable at scale.

• Lead, coach, and develop a team of support engineers; set a high standard for investigation rigour and customer communication.

• Run the team's operating rhythm: queue triage, standups, case reviews, escalations and 1:1s.

• Recruit, onboard, and ramp new support engineers as the function scales across regions.

• Provide on-the-spot coaching during live incidents and complex escalations.

• Own queue health and SLAs across L2 support; ensure timely, high-quality resolution of customer-reported issues.

• Track and report key metrics (response/resolution times, escalation and reopen rates, root-cause categories) and turn them into action.

• Handle the most complex or sensitive technical escalations personally.

• Triage customer reports into well-scoped tickets with clear reproduction steps, evidence, and impact for core Engineering.

• Root-cause customer issues across the stack using logs, traces, and observability (e.g. Datadog), session data, and the codebase.

• Ship pragmatic data fixes and tightly-scoped code fixes where appropriate, and partner with Engineering to land deeper fixes.

• Use and extend internal tooling to resolve issues safely at scale via permissioned access to internal data and actions.

• Spot recurring issues and product pain points; codify "tribal knowledge" into runbooks, checks, and self-serve internal interfaces.

• Drive systemic fixes — feed clear, prioritised signals into Product and Engineering and follow them through to resolution.

• Maintain and improve internal and customer-facing support content based on real ticket trends.

• Strong technical troubleshooting ability: comfortable reading logs/traces, querying data, and navigating a production codebase to root-cause issues.

• Experience leading or mentoring engineers — formal management or strong tech-lead / player-coach experience.

• Excellent written communication — you can translate messy customer problems into clear technical narratives for engineers and clear updates for stakeholders.

• High ownership: you define success, drive queue and quality outcomes, and deliver without heavy direction.

• Pragmatic approach to reliability and safety, especially when actions can affect customers or clinical workflows.

• Experience in a support engineering / L2–L3 / SRE-adjacent function at a SaaS or HealthTech company.

• Familiarity with observability tooling (Datadog), issue trackers (Linear), and support platforms (Intercom).

• Experience building or operating internal admin tooling and LLM/agent-enabled workflows (permissioning, guardrails, evaluation).

• Bachelor's in Engineering, Computer Science, Maths, or a related field (advantageous, not required).

You’ll join a team focused on real-world impact over imaginary valuations and glossy PR. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders, and designers who’ve felt (on every side of the equation) what non-care feels like—the moral and practical toll as a provider or receiver.

Building what we’re building isn’t always easy. But we didn’t choose easy, we chose to build something that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognise that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. The work is hard, but you will trust and admire the people you work beside, and rest easy knowing you’re doing the defining work of your career.

True A-players progress extremely fast here. The nature of the scale-up game is

demanding, but we value sustainable performance and mental health. You're

trusted to perform, and you set your schedule. We operate on outcomes > inputs,

not process theatre. We all take the bins out, metaphorically and literally.

We offer a $1,000 annual learning and development budget, a $150/month health and wellness allowance, a $500 home office budget, 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave, fertility support up to $10,000, four weeks of work from anywhere per year, and serious equity.

We chose to open-source our benefits hub, if you care to take a peek.