Careers

Help enterprises say yes to agents doing real work.

Palma is the governance layer that lets large organisations put AI agents on their real systems. We're remote-first across Europe, small enough that your work is visible, and building in a category that is being defined right now.

  • Remote-first across Europe
  • Small team, direct ownership
  • Enterprise customers from day one
  • Open standards work via the Linux Foundation and AAIF

Open roles

4 positions

  • Marketing

    Product Marketing Manager

    Remote — Europe Full-time

    Own how Palma is understood. You'll turn a genuinely technical governance platform into a story CISOs, platform leads and CFOs each recognise as their own problem — and give the sales team the material to prove it.

    • Position the platform for enterprise buyers, and keep the message honest as the product moves
    • Build the launch motion for new capabilities — narrative, site, briefings, enablement
    • Turn real deployments into case studies, benchmarks and proof points
    • Own the competitive picture in a category that is being defined right now
    Apply

  • Product Design

    Product Designer

    Remote — Europe Full-time

    Design the surface that enterprise IT uses to govern every agent in the organisation. Policy editors, approval queues and audit trails are hard problems that are usually solved badly — this is a chance to solve them properly.

    • Design end-to-end flows for policy authoring, approvals, Skills and audit
    • Make dense, high-stakes information legible without dumbing it down
    • Extend and maintain the design system across platform and marketing surfaces
    • Work directly with engineering — we ship continuously, not in handoffs
    Apply

  • Sales

    Enterprise Account Executive

    Remote — Europe Full-time

    Sell to large enterprises at the moment they are deciding how AI agents get access to real systems. You'll run multi-stakeholder cycles across security, platform and finance, and you'll be selling something buyers actively want to exist.

    • Own enterprise cycles end to end, from first conversation to signed agreement
    • Navigate security reviews, procurement and compliance as part of the sale, not an afterthought
    • Build the repeatable motion — what qualifies, what stalls, what closes
    • Bring the field back into the product; you'll have direct access to the people building it
    Apply

  • Engineering

    Platform Engineer

    Remote — Europe Full-time

    Build the gateway that sits in the path of every agent tool call — the part that has to be fast, correct and provable. Distributed systems work in the MCP layer, with real enterprise deployments on the other end.

    • Build and scale the MCP gateway: resolution, policy evaluation, approvals, audit
    • Work across identity, multi-tenancy and on-prem or air-gapped deployment
    • Own reliability and performance on a hot path where latency is visible to users
    • Contribute to open agent standards through our work in the Linux Foundation and AAIF
    Apply

Nothing quite right?

Tell us what you'd build.

If none of these fit but you think you belong here, send us your CV and a short note about what you'd want to own. We read every one.

career@palma.ai

Common Questions

Quick answers about Palma.ai's enterprise MCP platform

What is Palma.ai in one sentence?

Palma.ai is the enterprise governance layer for MCP — it gives every person and agent a single governed connector carrying the tools and Skills they're entitled to, enforces policies on the actual arguments of a call, pauses high-risk actions for approval, and records everything in a tamper-evident audit trail.

What does MCP governance mean?

Deciding which person may use which tool, with which arguments, with whose approval — and being able to prove it afterwards. MCP itself covers how a client authenticates to a server and how a tool is described and called; it does not decide which person may use which tool, hold a risky call for a human, or keep the record an auditor asks for. Palma adds that layer: one governed connector per person, assigned by identity-provider group, carrying the tools and Skills they are entitled to into whichever assistant they already use.

Does my team have to set up MCP servers themselves?

No. Connectors are assigned by IdP group through Entra or Okta, so a joiner gets theirs on day one and a leaver loses it the moment the group changes. Every MCP server your team approves arrives through that same connector — no per-user install, no config files, no credentials sitting on a laptop.

What's a Skill, and why does it matter?

A tool is a verb — "send an email". A Skill is the playbook that tells an agent when and how to use the verbs it already has: how your team actually closes the books, runs an incident review, or qualifies a lead. Skills are versioned, scanned before they're served, and scoped like any other piece of enterprise software — so your best operator's process reaches everyone else's agent.

Does it work with the AI clients we already use?

Yes — everything is served over MCP, so the same connector, Skills and policies follow the person into whichever assistant they open, whether that's Claude, ChatGPT, Copilot, Cursor or something else. Switching tools doesn't mean re-approving, re-installing or re-auditing anything.

How do we prove what an agent actually did?

Every tool call is attributed to the person it was done for, the agent that did it, and the application it ran in — with the arguments, result, duration and cost. The audit trail is tamper-evident and verifiable offline with your own key, so your auditor doesn't have to take our word for it, and it streams to the SIEM you already run.

How is Palma.ai deployed — SaaS, on-prem, VPC?

Palma.ai is designed for enterprise environments: typically VPC or on-prem, including fully air-gapped, depending on your regulatory and security needs. The MCP layer and governance plane run on your infrastructure, so sensitive business data doesn't have to move into multi-tenant SaaS. We can also host it for you if you prefer.

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