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Agentic Operator, Growth Marketing
ServalSan FranciscoPosted 1 May 2026
Job Description
Agentic Operator, Growth Marketing
WHO WE ARE
Serval http://serval.com is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end — replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada to automate high-volume, high-friction operational work across their organizations.
At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don’t just respond to requests — they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering.
Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we’re building the universal AI operations layer — a system of agents that sits across business functions and runs the workflows that keep modern companies moving.
We’re backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others, and founded by product and engineering leaders from Verkada.
ROLE OVERVIEW
AI is rewriting how companies discover and choose what to buy, and we need you to build the agent-powered marketing engine that makes Serval impossible to ignore. You'll design the agents that run growth marketing end-to-end, from content and campaigns to AI search visibility and the systems that connect them. You'll partner closely with the Head of Growth, content, design, and product marketing to turn marketing workflows into reliable, self-improving programs.
WHO YOU ARE
- A builder at heart, able to scope what matters, prototype it, and ship it yourself.
- Living on the AI frontier – you've built agents that work and you bring fresh ideas and techniques to the team as fast as the field moves.
- A systems thinker who builds for the long run, designing things that run and improve on their own by measuring results, catching issues, and iterating.
- Comfortable in ambiguity, owning your work end-to-end, and moving without waiting to be told what to build next.
WHAT YOU'LL DO
- Own Serval's AEO strategy, including the structured data, schema, and content systems that drive visibility in LLM responses.
- Build AI agents that autonomously run marketing workflows including content drafting, brief writing, campaign launches, and creative testing.
- Design evals, guardrails, and feedback loops so agents stay reliable in production and improve over time.
- Use performance data to prioritize what to automate next, partnering closely with content, design, and product marketing to bring shared initiatives to life.
- Architect publishing and distribution systems across CMS, data sources, and channels so content moves end-to-end with minimal manual work.
- Run experiments across workflows, content structures, and distribution strategies, treating each deployment as a hypothesis.
- Codify what works into reusable templates, internal tooling, and documentation.
WHAT YOU'LL NEED
- 4+ years of experience in marketing engineering, growth engineering, product management, or a similar role.
- A foundation in programming and systems thinking to confidently wire together agents, APIs, and data flows.
- Hands-on experience building agents or LLM-powered systems.
- Strong analytical skills, with the ability to turn quantitative data and qualitative signals into clear, actionable decisions.
- A high level of ownership and initiative, with the ability to scope, prototype, and ship without waiting for direction.
- Familiarity with how search engines and AI models discover, index, and surface content, ... (truncated, view full listing at source)
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