Data Automation Specialist

Harper•San Francisco, CA

2d•$120,000 - $160,000•Onsite

About The Position

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.

Requirements

You've built automations that genuinely changed how a team operates — not just connected two tools together.
You're fluent in at least one major AI development environment and have built real agents or AI-powered workflows, not just prototypes.
You have a builder's instinct: when you see a manual process, your first thought is how to eliminate it.
You're comfortable writing Python or working with APIs when no-code tools reach their limits.
You think about the end user of every automation you build — not just whether it works, but whether it's actually useful.
You can move from idea to working prototype quickly, and you know when to polish and when to ship.
You're based in San Francisco or willing to relocate.
3+ years of experience in automation, data operations, or a technical marketing/growth operations role
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
Working knowledge of Python or another scripting language for tasks that require 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

Nice To Haves

Experience building agents using modern AI frameworks (LangChain, CrewAI, or comparable)
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

Responsibilities

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.
Develop AI agents. Use modern AI tooling to build agents that monitor, summarize, and interpret data outputs, cutting the manual work required to turn data into action.
Create operational dashboards and feeds. Build lightweight, automated reporting that gives the team an always-current view of performance — no manual refresh required.
Identify and eliminate manual data work. Audit how the team interacts with data today, find the repetitive manual steps, and replace them with automated systems.
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.