Agentic Operator, Growth Marketing

CircleCI is a continuous integration and continuous delivery platform that helps software companies improve engineering productivity and deliver products faster. The Agentic Operator, Growth Marketing will build AI agent pipelines, orchestration layers, and automation systems to accelerate growth experimentation, automate validation and measurement, and increase experiment throughput. The role will coordinate with channel owners, lifecycle, product, and sales while managing the experimentation backlog and tracking systems.

Responsibilities:

• You'll build the agent pipelines, orchestration layers, and automation systems that let our growth team run more experiments in parallel — and learn from them faster — than any traditionally-staffed team could
• Before human resources touch a test, your agents have already scored it — LLM-evaluated copy variants, synthetic audience testing, funnel drop-off analysis. Only the strongest hypotheses make it to execution
• You own the full loop: intake, prioritization, instrumentation, and readout — all accelerated via automation. Funnel drop-off doesn't trigger a Monday meeting; it triggers the next test
• You own the full loop — backlog, sequencing, instrumentation, and readout — with the rigor to match. Every test ships with a falsifiable hypothesis, clean measurement setup, and defined success metric. Null results get documented, not buried. Channel owners, lifecycle, and PLG stay in sync so the team is always running the highest-leverage tests without conflicts or duplication
• You wire together our existing tools — Amplitude, HubSpot, Clay, REO.dev and enrichment layers — so signals flow automatically into action. You integrate frontier LLMs (Claude, GPT) and workflow tools (n8n, Gumloop) into production-grade systems that improve over time
• Instead of sequential tests, you build the infrastructure to run experiments across channels simultaneously — compressing the learning cycle and multiplying the team's throughput without multiplying headcount

Requirements:

• You understand B2B SaaS funnels well enough to prioritize experiments intelligently and catch flawed hypotheses before they waste the team's time
• You're technically fluent enough to build AI workflows, instrument experiments, and own the tracking systems the team depends on
• You understand acquisition funnels, CRO, CAC/LTV, and hypothesis-driven testing deeply enough to know which experiments are worth building for
• Instinct for what moves the needle isn't optional — it's the filter on everything you automate
• You've shipped multi-agent workflows in production, not just personal automation scripts
• You're fluent in API-based orchestration, prompt engineering, and building feedback loops that self-improve
• You've built internal tooling that other teams depended on
• You design for leverage
• You build things that get smarter over time
• You've operated in environments where you had to define the process, not just follow it — and you preferred it that way
• Experience managing or coordinating a multi-stakeholder experimentation program — not just running your own tests, but helping a team run better ones
• You want the opportunity to build, improve, and adapt a new experimentation motion
• You can describe a specific experiment cadence you drove — e.g., "we went from 3 tests/month to 18" — and walk through exactly what you automated to get there
• Your first instinct when hitting a bottleneck is to build something, not escalate it
• You think about your tech stack second and your growth hypothesis first