ABOUT MINERVA
Minerva builds AI for marketing leaders. We work together with marketers to automate and accelerate their workflows with AI agents. Our agents augment the end-to-end workflow of the marketer by automating analysis, campaign planning, activation, measurement and reporting.
Customers like the NBA, Ramp, Wander, Hard Rock Stadium Group and Luxury Presence use Minerva to develop a better understanding of their customers and introduce AI specifically built to understand the customer into their commercial organizations. Our campaigns outperform other tools because we built the entire stack: from identity to enrichment to data integration as well as agents to action and report on the analysis.
We've raised $20M from The General Partnership, 8VC, Lingotto, NBA Investments, Topology Ventures, Future Positive, Background Capital and many others. Our team brings together operators and investors from Citadel, Dentsu, Bridgewater, Meta Superintelligence, Growthloop, Amazon and Lazard, alongside engineers and researchers from Berkeley, MIT, Stanford and Cambridge.
OUR STACK
- Agents: Claude across the company (in Slack, through the API, with skills and MCP), plus Mastra for the agents we build ourselves and Temporal for long-running work.
- Code: Python and TypeScript, scheduled jobs and webhooks.
- The systems your agents work across: Slack, Google Workspace, Notion, and the CRM, recruiting, HR, finance and compliance tools a growing company runs on.
THE ROLE
We build agents for marketers. This seat builds them for us.
Every company our size runs on work nobody sees. Someone copies a new hire's details into six tools. Someone remembers which contract renews next month. Someone answers the same security questionnaire for the fourth time. Most companies hire a coordinator for that work. We're hiring an engineer.
You're a forward-deployed engineer for Minerva itself. Other companies call this an AI operations engineer or an internal AI engineer. Your customers are every team here: operations, finance, people, recruiting, sales and the founders. You sit with them, find the work they'd most like to stop doing, and replace it with a system that runs without them and leaves an audit trail.
You report to our COO and work closely with engineering, which owns anything that touches production.
WHAT YOU'LL DO
- Own the company's knowledge agent. One agent over our docs, Slack, calls and tickets, with Slack as the front end. It answers with sources, and people trust it.
- Automate the processes that run the company. Hiring, onboarding and offboarding, access provisioning, vendor reviews, customer security questionnaires, contract renewals and billing. Start where the hours or the risk are highest.
- Run the skill library. Every team gets Claude connected to the tools it uses and a set of skills, each with a named owner on that team, an eval and the right permissions. What one person figures out, everyone gets.
- Own the source of truth. Decide where each kind of information lives, move it there and keep it findable by people and by agents. When an agent spots something out of date, it proposes the fix and a person approves it.
- Build the plumbing under our operating dashboards: the metrics, controls and board reporting that today get stitched together by hand from five systems.
- Put the guardrails in first. Least-privilege access, a human approval before any agent writes to a system of record, and audit trails that double as compliance evidence.
- Sit with your users. Watch how a recruiter, a seller or our finance lead actually works, then automate the part they hate.
- Measure adoption. Which systems get used, by whom and at what cost, including what we spend on models and which agents can touch what. Retire what nobody opens, and write the runbook for what stays.
WHAT YOU HAVE
- You've shipped agents or automations that coworkers use every week, and you can show the usage: who stopped doing what, and how many hours came back.
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