Agent workflows
Design agents that produce concrete campaign work, not generic suggestions.
Careers
Build the execution layer marketers actually use.
Metadata is building AI agents, SaaS workflows, and MCP tooling for teams responsible for real pipeline. The work spans product, engineering, design, growth, customer strategy, and applied AI — on a remote-first team.
Builder surface
The work sits where AI, product, data, and go-to-market operations meet.
Metadata needs people who can turn messy campaign workflows into systems that marketers, operators, and developers trust.
Agent UXMCP toolsData productsCustomer systems
What you’d build
The work here.
We hire people who care about useful systems, sharp product judgment, and the details of B2B marketing operations.
Product systems
Make complex campaign objects, approvals, budgets, and reporting feel understandable.
Developer experience
Help agents and technical users operate Metadata through MCP and APIs.
Customer strategy
Work with marketing leaders and operators solving real demand generation problems.
Data products
Turn audience, channel, CRM, and performance data into decisions teams can trust.
Brand and proof
Tell a credible story to sophisticated buyers who have seen every vendor claim.
Culture
How we work.
Four values decide how we build and how we run campaigns — humans lead, AI executes.
Speed to action
A brief becomes running campaigns in hours, not quarters — then we learn from real spend.
Autonomy
Small teams own their outcomes, budgets, and work. The people closest to the customer decide.
Customer first
Every call is measured against one question: does it move customer pipeline and revenue.
Use AI for everything
AI agents do the repetitive execution; people own judgment, brand, and approvals.
What we value
What strong candidates should care about.
The work
Respect the workflow
The work is grounded in campaign briefs, audiences, budgets, approvals, creative review, attribution, and real customer operating constraints.
Trust
Build for trust
People joining Metadata should care about audit trails, permissions, security review, and human control as much as speed.
Range
Think across roles
The product has to work for CMOs, demand gen operators, RevOps, finance, security, developers, and external agents.
Proof
Use proof carefully
Marketing and product storytelling should rely on public customer stories, approved G2 proof, and visible product behavior.
Systems
Prefer useful systems
The best work here reduces repetitive campaign labor while making the output easier for humans to inspect and improve.
Join us
Open roles.
Current openings across product, engineering, design, go-to-market, and applied AI. Don’t see your role? We hire continuously — check back soon.
We don’t have any roles posted right now — but we hire continuously. Check back soon, or see what we’re building.
Frequently asked questions
What is it like to work at Metadata?
You work alongside AI agents on real paid-media outcomes, with an AI tools and tokens budget, competitive comp, health, dental and vision insurance, and a 401(k).
What kinds of roles does Metadata hire for?
Engineering, product, marketing, design, and go-to-market roles - see the open roles above for current openings.
How does Metadata use AI internally?
AI is part of the daily workflow, and every team member gets a budget for AI tools and tokens.
Build with us
If you want to work on AI systems that touch real budgets and real customer outcomes, take a look at what’s open.