Product Manager

The role

You will own a business module end-to-end, including customer experience, operator workflows, and underlying AI agents. You will encode business nuance into systems and move specific KPIs.

What you will do

• Own the KPIs including conversion, handle time, accuracy, autonomous-resolution rate, and retention
• Translate customer nuances into rules, prompts, agents, and data structures
• Own the eval regime including regressions, backtests, and call-by-call review
• Build the data flywheel by working with data labeling and validation
• Own the cross-modal experience across web, voice, and human
• Work with sales, service, and underwriting operators to find broken processes
• Talk to customers every day
• Prototype with AI tools
• Hyper-prioritize tasks to move KPIs

Required qualifications

• 1–3 years in product, or an early-career operator, engineer, or AI researcher
• Demonstrated end-to-end ownership of a product or system
• Track record of encoding domain knowledge into a system
• Understanding of AI services companies and shipping behavior into probabilistic systems
• Obsession with evals and thinking in KPIs
• Ability to build with Cursor, Claude Code, and Lovable
• Ability to argue AI tradeoffs including agents, LLMs, context engineering, data pipelines, and evals

Nice to have

• AI/ML products
• voice AI
• agent frameworks
• workflow automation
• eval/prompt/context engineering
• insurance, fintech, or regulated-industry experience
• prior startup experience

Benefits

• Uber commuter benefits
• breakfast, lunch, and dinner provided
• snacks and coffee stocked
• free gym membership
• health, dental, and vision

Before you apply

• 20-min lead screen
• technical conversation involving walking through analysis you have done
• on-site interview

About the company

Harper is an AI-native commercial insurance company in San Francisco. They are rebuilding the insurance business as software.