Engineering Manager TLM Platform

Userc Dehradun; San Francisco, Northern (CA, KY); Hybrid; USD 225,000 - 275,000; Full time

Benefits offered by this job

Uber commuter benefits

Meals provided

Snacks and coffee

Free gym membership

Health, dental and vision insurance

Job summary

Harper in San Francisco is hiring an Engineering Manager for the TLM Platform. The role leads infrastructure, developer productivity tooling, and SRE/production support, with hands-on work as the team grows from 2 to 5–6 engineers.

You will build and scale AI-first platform services, ensure observability, and drive velocity across teams while managing a small, growing team in a high-growth environment.

Qualifications

• Minimum 2 years of line management experience with teams of 6–10 people.
• Experience at scale with high-throughput systems (millions of requests per minute).
• Hands-on with AWS or GCP and strong database troubleshooting skills.
• Familiarity with Docker, Kubernetes, and infrastructure tooling.
• Interest in building developer productivity tooling and AI harnesses.

Responsibilities

• Own infrastructure (cloud, vendors) and surrounding tools.
• Build developer productivity tooling to enable AI-first engineering teams.
• Own SRE and production support for high-growth, high-scale systems.
• Grow the team from 2 people to 5–6 over the next 3 months.
• Stay hands-on and collaborate directly with engineers on delivery.

Skills

People management

AWS

GCP

Docker

Kubernetes

SRE

Developer productivity

System design

On-call practices

Database troubleshooting

Tools

Docker

Kubernetes

SQL databases

GCP

AWS

Job description

# Engineering Manager TLM PlatformHarpervia RemoteOKSan FranciscoPosted 11 days agoUSARemoteApply for this job Free · you will be taken to the employer's application pageAdvertisement## Key detailsLocation: San FranciscoJob type: Not specifiedSalary: Not disclosedPosted: 10 Sept 2026 (11 days ago)Region: USASource: RemoteOKWork mode: Remote## Job description## **The Problem**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.AdvertisementWe'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.## **The Thesis**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.Advertisement## **The Role**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.## **What You'll Do*** **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## **You Might Be a Fit If...*** 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## **Nice to Have*** 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## **Compensation & Logistics*** **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.## **The Process**1. Hiring Manager screen - 30 min video chat.2. Technical screen — 60 min remote: project deep dive + system design3. Super Day on-site — meet the team, sit in on the operation, do real work alongside us.Please mention the word \\*\\*DAUNTLESS\\*\\* and tag RNjguMTgzLjg1Ljcx when applying to show you read the job post completely (#RNjguMTgzLjg1Ljcx). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.