Data Automation Specialist
Build AI-powered automations and agents that turn raw data outputs into actionable insights for GTM, growth, and operations teams. Requires 3+ years building workflows in automation platforms and AI tools, plus Python scripting ability.
About the job
What you'll do
- 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.
Requirements
- 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 have
- 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
Compensation & Benefits
- Salary: $120,000–$160,000, plus performance bonus and equity
- Uber commuter benefits
- Meals provided — breakfast, lunch, and dinner
- Snacks, drinks, and coffee stocked daily
- Free gym membership
- Health, dental, and vision insurance
Skills
Zapier, Make, n8n, Python, LangChain, Crewai, LLM APIs, Prompt Engineering, Data Automation, Workflow Automation
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