layiq
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…Job opportunity
Harper
San Francisco, California, United States
Source: Harper careers · View original posting
From Harper's posting. “We” and “our” refer to the employer.
Data Automation Specialist
Harper is an AI-native commercial insurance company in San Francisco.
We're not bolting AI onto insurance — we're rebuilding the entire business as software, on a simple bet: turning expert human judgment into compute is one of the largest transitions left to make, and a trillion-dollar industry still run 90% by hand is the place to prove it. We've grown ~100x in the last year and we move at that speed — on-site, in person, long days, very high standards. Almost no one joins Harper for insurance; they join to build the company that replaces how it works.
Data is only valuable if people can use it — and most teams can't, because the gap between raw data and actionable signal is filled with manual work nobody has time for. You close that gap. You build the automations, agents, and AI-powered workflows that take the outputs of Harper's data systems and make them legible, timely, and immediately actionable for everyone on the team.
You'll spend real time in AI tools — building agents, designing prompts, orchestrating workflows — and you treat automation not as a nice-to-have but as the only way to scale a high-velocity growth operation.
You're a builder who lives at the intersection of data, AI, and automation. You're not a data engineer building pipelines from scratch, and you're not a data analyst running queries — you're the person who takes what's already flowing and makes it work for the humans who need it. You're fluent in AI tools and modern automation platforms, comfortable writing code when the situation calls for it, and you have a builder's instinct for the workflows that should never require human effort.
You report to the Head of Marketing and collaborate across the GTM, growth, and operations teams. Winning in 6–12 months looks like the whole team moving faster because you built the systems that remove friction from data at every step.
This is a builder's seat, measured by how much faster you make the team — not by automations shipped or tools connected. It's on-site in San Francisco, in person, long days, high standards. The data systems and team needs keep changing underneath you, which means the automations you own have to keep working, and when one breaks or goes stale, that's yours to find and fix — usually the same day. You'll work open-ended problems with little spec, so the job is as much judgment about what's worth automating as it is the building itself.
This isn't a place to wire up integrations no one uses, and it isn't a pipeline-engineering or pure-analyst role. Almost no one takes it for insurance — they take it because building the AI-powered automation layer for a company growing ~100x, where automation is a real competitive advantage, is a rare seat. If making a team measurably faster is the appeal, apply. If it's a deterrent, it won't get easier here.
Compensation
Salary: $120,000–$160,000, plus performance bonus and equity.
Location: On-site, San Francisco. Based here or willing to relocate.
Schedule: Monday–Friday, long days, in the building with the team.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted: