Trace

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.

Why applying the normal way doesn't work

With only <50 employees, Trace doesn't have dedicated recruiters. Founders review applications between running the company. The challenge isn't competition — it's visibility. Direct outreach wins.

Who to contact at Trace

What to show them

Trace's core deployment challenge is building the knowledge graph from a company's existing tools. This is a technical implementation process that requires integrating with Slack, email, Airtable, project management software, and custom internal systems that vary by customer. Someone needs to own this process with early accounts, build the default integration playbook from scratch, and feed quality signals back to the product team in real time. At this stage this person will likely be the first US-based customer-facing hire and will have direct access to the CEO on every implementation. Core skills: experience integrating with enterprise collaboration tools (Slack API, Google Workspace, Atlassian suite); familiarity with graph database concepts or workflow mapping; ability to translate technical implementation steps into language that non-technical operations leads understand; prior experience at an early-stage enterprise SaaS company where the integration playbook did not yet exist is directly relevant. For proof of work, sketch out what a Trace knowledge graph would look like for a 50-person startup using Slack, Notion, and Linear. Identify the ten most important nodes, the most important edges between them, and where the gaps that an AI agent would fall into appear. Post it as a one-page diagram or written description publicly. It does not need to be built. It needs to show you understand the mapping problem in a real operational context.

A cold email that works at Trace

What Trace screens for

The cap table tells you more than the press release does. Three signals stand out. First, WeFunder, a community crowdfunding vehicle, is unusual for enterprise B2B. It suggests the founder is building a distributed audience alongside a sales pipeline, which opens a GTM approach most agent orchestration companies are not taking and will require people who can operate across both community and enterprise motions simultaneously. Second, Goodwater Capital, whose portfolio includes Kakao and ByteDance-backed consumer platforms, almost never backs pure enterprise plays. Their presence implies a broader product surface area than the current positioning suggests - either a prosumer layer or a marketplace dynamic is likely in the roadmap. Third, Transpose Platform Management invests specifically in workflow platforms that become operationally embedded and eventually acquired. Their involvement is a structural bet on Trace becoming infrastructure, not just software. When an investor whose entire thesis is about acquisition outcomes writes a cheque at seed, they are already thinking about what Salesforce, ServiceNow, or Atlassian would pay for this in three years. That timeline creates a fast and specific hiring mandate: get the product embedded in enough enterprise workflows to be irreplaceable before the platform players replicate it.

Don't send a generic CV to Trace. Mirror the job posting's language to get past automated screening.

Mistakes that kill Trace applications

Trace take-home assignment

Trace includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.

Trace interview timeline

At days, Trace's process is faster than typical for AI (10 days at this size).

Interviewed at Trace?

Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.

Trace jobs, frequently asked questions