Hiring: Product Manager Company: Harper Location: San Francisco, CA Job Posted Time: 2026-09-03 07:38:03 Employment Type: On-site Target Skills & Keywords : Data Pipeline, Kind, LLM, REST About the job Experience: •3 years in product, or an early-career operator, engineer, or AI researcher who's been doing the work without the title. Required Skills: •Harper isn't an AI tool sold to brokers. We •Own the KPIs. Conversion, handle time, accuracy, autonomous-resolution rate, retention — whatever the leverage point is for your surface. You set the targets, instrument them, move them. If the metric isn't moving, that's your problem. •Encode the nuance. Translate what makes your module's customers different into rules, prompts, agents, and data structures. •Own the eval regime. Probabilistic systems are only valuable when people trust them: regressions on every change, evals mapped to real outcomes (not vibes), backtests against historical applications, call-by-call review where it matters. You'll be paranoid about silent regressions in a way most PMs aren't. •Build the data flywheel. Work hand-in-glove with data labeling and validation to build the golden datasets your module's models need. You define what "right" looks like. •Own the cross-modal experience. Your module spans web, voice, and human. You decide where each modality wins, where they hand off, how the on-ramps feel. •Live with operators. Sit with sales, service, underwriting. Watch the work. Find what's broken before they tell you. •Talk to customers every day. Literally — not "5 calls last quarter." Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!