Harper

Data Automation Specialist

San Francisco

Sponsorship not specified$120k-$160kDetected 29 days ago

PythonData EngineeringLLMsMarketing AnalyticsLogisticsProblem Solving

About the role

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're a builder who lives at the intersection of data, AI, and automation.
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.

Build data automations. Design and implement automated workflows that surface insights, trigger alerts, and route information to the right people at the right time - without anyone having to ask.
Maintain and improve automation infrastructure. Own the reliability and performance of what you build, and iterate as data systems and team needs evolve.
Partner with the data and growth teams. Work closely with the GTM Engineer and Data Analyst to understand what data exists and where automation adds the most leverage.
You think about the end user of every automation you build - not just whether it works, but whether it's actually useful.
Build data automations.
Hands-on experience building workflows in automation platforms (Zapier, Make, n8n, or comparable)
Demonstrated experience building with AI tools and LLM APIs to create agents, summaries, or AI-powered workflows

3+ years of experience in automation, data operations, or a technical marketing/growth operations role
Working knowledge of Python or another scripting language for tasks that require custom logic
Familiarity with data outputs from marketing and analytics platforms
Strong problem-solving instincts and the ability to work autonomously on open-ended technical challenges
You have a builder's instinct: when you see a manual process, your first thought is how to eliminate it.
You can move from idea to working prototype quickly, and you know when to polish and when to ship.
Use modern AI tooling to build agents that monitor, summarize, and interpret data outputs, cutting the manual work required to turn data into action.
Build lightweight, automated reporting that gives the team an always-current view of performance - no manual refresh required.

Background working alongside data engineers or analysts to understand and extend data pipelines
Familiarity with marketing analytics stacks and GTM data flows
Experience with prompt engineering and workflow design for LLM-based systems
Exposure to a high-growth startup environment where automation was a competitive advantage
People screen - fit and alignment
Super day - how you operate in real time
Send your resume and a description of an automation or AI agent you built - the problem it solved, and how you built it.

This listing is sourced directly from Harper's careers page and normalized into a canonical job model.