
Trace
AI Workflow Orchestration Platform
Last verified August 15, 2026 · Updated daily
What Trace is building
Trace is a workflow orchestration platform that solves the most persistent and unglamorous blocker to enterprise AI adoption: agents do not know where they fit inside complex organisations. The platform builds a knowledge graph of a company's operational environment by reading the tools already in use - email, Slack, Airtable, project management software, any system that reflects how work actually flows. Once the graph is built, users issue high-level task prompts and Trace decomposes them into step-by-step workflows, delegates sub-tasks to AI agents with the specific context each agent needs to execute, and assigns remaining tasks to human team members. The result is an onboarding layer for AI agents that removes the months of internal integration work that most enterprise deployments currently require before a single agent can take reliable action.
Why this matters
Enterprise AI adoption has been measurably slower than the investment cycle suggests it should be. The reason is not model quality. The models are exceptional. The reason is that deploying an AI agent into a real organisation requires the agent to understand that organisation - its tools, its informal decision-making structure, where the handoffs between teams happen - in a way that currently takes months of custom integration to achieve. Every company that has tried and failed to deploy an AI agent at scale has hit the same wall. Trace is attacking that wall directly, and the knowledge graph approach is structurally more defensible than plugin-based deployment because it is built from what already exists inside a company rather than imposed from the outside by a new platform. Anthropic launched enterprise agent plugins the week before Trace's announcement. Atlassian is building Jira-native agents. But these are platform plays. Trace's bet is that context built from lived operational reality is more durable than context prescribed by a vendor, and that is an intellectually defensible position with a real moat if they can execute.
Open roles at Trace
2 positions we're tracking. Roles are re-checked daily and removed when filled.
Hiring outlook
Round closed February 26, 6 days ago. No job listings yet because the hiring conversation has not happened. Outreach this week means you are in the room before the room exists.
Working at Trace
Trace: AI Workflow Orchestration Platform. Founded , currently <50 employees. At this stage, expect broad remit, direct access to founders, and equity that still means something if the company works out.
Most Trace jobs are based in London.
Frequently asked questions
How many jobs does Trace have open?
Trace currently has 2 open roles, last verified March 2025.
Does Trace hire remotely?
All current Trace roles are based in London.
What roles is Trace hiring for?
Trace is hiring across Engineering, Product. The most recent opening is Enterprise Solutions / Implementation Engineer.
How do I apply for a job at Trace?
Apply directly through the links above, or read our guide on how to actually get hired at Trace.
Where is Trace based?
Trace is headquartered in London, US.
Get Trace roles before they're posted
Get AI jobs like these before they hit LinkedIn. We track companies like Trace daily.
Get early access →