Data Automation Specialist

About the role

Harper is an AI-native commercial insurance company in San Francisco. We are rebuilding the entire business as software, focusing on turning expert human judgment into compute to address a trillion-dollar industry still largely run manually.

Responsibilities

• Build data automations to surface insights, trigger alerts, and route information to the right people at the right time.
• Develop AI agents using modern AI tools to monitor, summarize, and interpret data outputs, reducing manual work required to turn data into action.
• Create operational dashboards and feeds that give the team an always-current view of performance without manual refreshes.
• Identify and eliminate manual data work by auditing current interactions with data and replacing repetitive steps with automated systems.
• Maintain and improve automation infrastructure, ensuring reliability and performance as data systems and team needs evolve.
• Partner with the data and growth teams to understand data sources and identify areas where automation can add the most value.

Requirements

• 3+ years of experience in automation, data operations, or a technical marketing/growth operations role.
• Hands-on experience building workflows in automation platforms such as Zapier, Make, n8n, or similar.
• Demonstrated experience building with AI tools and LLM APIs to create agents, summaries, or AI-powered workflows.
• Working knowledge of Python or another scripting language for tasks requiring custom logic.
• Familiarity with data outputs from marketing and analytics platforms; comfortable reading and transforming structured data.
• Strong problem-solving instincts and the ability to work autonomously on open-ended technical challenges.

Qualifications

• Fluent in at least one major AI development environment and have built real agents or AI-powered workflows, not just prototypes.
• A builder's instinct: seeing manual processes and thinking about how to eliminate them.
• Comfortable writing Python or working with APIs when no-code tools reach their limits.
• Thinking about the end user of every automation you build — not just whether it works, but whether it's actually useful.
• The ability to move from idea to working prototype quickly, and knowing when to polish and when to ship.
• Based in San Francisco or willing to relocate.