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San Francisco, California, United States
Onsite
36 million businesses in America need insurance—it's not optional. 77% are underinsured. 40% have no coverage at all. The distribution system failed them: too slow, too opaque, too confusing.
Over 90% of commercial insurance is still human-led. We're building the inverse: 90%+ AI-led, pushing toward the higher 90s. Not by patching legacy workflows—by building AI that makes humans more effective, improves the customer experience, and eliminates friction at every step.
We're adding ~1,000 customers per month. We've grown 100x since last year. We're looking to do even more this year—and that's why we're hiring.
You'll build the team and the systems the rest of engineering depends on. When they compound, everyone gets faster.
Harper runs 200+ services across Railway and AWS. We orchestrate N parallel agentic workloads. Our AI systems make thousands of decisions a day, and every decision needs to be traceable, evaluated, and cheaper to run tomorrow than it is today. The infrastructure underneath all of that is the difference between a company that scales and one that stalls.
Great platform engineering here isn't invisible—it's the reason product ships fast. When observability catches a silent failure before a customer does. When a pooling layer makes connection exhaustion a non-issue. When developer velocity doubles because someone built the tool nobody knew they needed. That leverage compounds across every other engineer on the team.
This role is open both to an experienced EM and to someone on the path to becoming an EM who doesn't yet have significant management experience—we're happy to bring that person on and support the transition.
This is a team that still needs to be built. We have 2 people in it today, and we believe this area needs significant investment at Harper. The role owns three things: infrastructure (cloud, third-party vendors, and everything surrounding it), developer productivity (making sure we're genuinely an AI-first shop, with the right AI tooling and harnesses in place for every other engineering team to be successful), and SRE and production support (production discipline is top of mind as we head into a high-growth, high-scale phase—we need someone who has run an SRE function before). Each of these three areas can grow into a larger team of its own over time.
The team is 2 people today, growing to five to six over the next three months. Because the team is small, whoever takes this role—EM or TLM—will need to be hands-on at the start, working directly with the team and doing the work themselves.
Own infrastructure — cloud, third-party vendors, and everything surrounding it
Build developer productivity — the AI tooling and harnesses that make every other engineering team genuinely AI-first
Own SRE and production support — bring production discipline as we head into a high-growth, high-scale phase
Build out the team — grow from 2 people to five to six over the next three months
Stay hands-on — with a team this small, work directly alongside your engineers and do the work yourself, not just direct it
Grow each function over time — infrastructure, developer productivity, and SRE/production support can each become a larger team of its own
Have at least 2 years as a line manager directly managing teams of six to ten people—or clear readiness to grow into that role
You've been a line manager for at least two years, directly managing teams of six to ten people—or you're on a clear path there and want to grow into it
You have hands-on experience with AWS or GCP and strong database troubleshooting skills
You've seen real scale—on the order of at least a million requests per minute
You can troubleshoot across databases, networking, compute, Docker, Kubernetes, and other aspects of infrastructure
You care as much about developer productivity and AI tooling as you do about raw infrastructure
You know on-call practices, SLAs, SLOs, and SRE practices generally
You want to stay hands-on and grow into a fuller managerial role over time
You move fast, with the same appetite as the rest of Harper
Your own network to draw on for hiring—otherwise, comfort working closely with recruiters
Experience building developer productivity tooling and AI harnesses for other engineering teams
Experience building a team from a very small base
Prior startup experience—especially at a company scaling through hypergrowth
Salary: $225,000–$275,000
Location: San Francisco, in-office. Based in SF or willing to relocate.
Schedule: Monday–Friday, in-office five days a week.
Benefits: Uber commuter benefits; breakfast, lunch, and dinner provided; snacks, drinks, and coffee daily; free gym membership; health, dental, and vision insurance.
Hiring Manager screen - 30 min video chat.
Technical screen — 60 min remote: project deep dive + system design
Super Day on-site — meet the team, sit in on the operation, do real work alongside us.
