GTM Engineer

As our GTM Engineer, you’ll be the technical backbone of Revenue Operations at Attest, sitting at the intersection of data, systems, and AI automation. You’ll design, build, and scale the AI-driven foundations that power our go-to-market team.

Salary
We are able to offer between £75–90K depending on experience. We have posted this role with an intentionally broad range as we are open to varying levels of experience. We are happy to discuss this in more detail during the interview process.

In-person and remote working balance
We embrace a flexible hybrid work model. While we don't mandate specific office days, we ask Attesters to work on-site 2 days per week. This approach allows us to collaborate in person, while ensuring enough time remotely for deep, focused work.

What You’ll Be Doing

• Partner with commercial and adjacent teams to map workflows end-to-end, surfacing friction points, manual loops, and hidden inefficiencies.
• Design, build, and maintain GTM automations using tools such as n8n, Gemini Enterprise, Claude Cowork, or Zapier.
• Own and evolve workflow automation tools and processes, ensuring they’re reliable, scalable, and well-architected.
• Work with Data Engineering to keep our GTM data pipelines healthy – Salesforce, Lightdash, Gong, Pardot.
• Write Python or JavaScript to build the custom integrations, APIs, and scripts that off‑the‑shelf tools can’t cover.
• Partner with our Salesforce Lead to clean up and standardise Salesforce data.
• Embed intelligence into GTM workflows to help teams focus on what matters most.
• Experiment with new AI tools and automation frameworks across the commercial team.
• Document what you build so the team can use, trust, and extend it.
• Work with InfoSec to keep our AI use safe, secure, and aligned with how we protect customer data.

What You’ll Bring

• Experience designing and delivering agentic AI workflows, leveraging agentic platforms and custom MCP-based automations to drive measurable efficiency gains.
• Understanding of complex GTM processes and a background in a SaaS or product‑led growth environment.
• Experience working with workflow automation tools (n8n, Make, Zapier) to deploy end‑to‑end AI workflows that automate complex GTM processes.
• Comfort working at pace, iterating, and learning in motion, in circumstances that are ambiguous and ever‑changing.
• Built robust guardrails, data validation steps, and human‑in‑the‑loop mechanisms while maintaining scalable, testable prompt architectures and lightweight Python/JS tooling.
• Demonstrated strong communication, translating complex AI concepts into clear narratives that influence stakeholders at all levels, regardless of their technical fluency.
• Experience in creating clarity through strong documentation practices, ensuring internal wikis support alignment, autonomy, and effective collaboration.
• Data‑first mindset, confident navigating SQL and BI tools (Lightdash, Looker, dbt) and working with APIs, webhooks, and at least one scripting language (Python or JavaScript).

Our Benefits

• Equity, everyone at Attest owns a piece of what we build together.
• Work from anywhere up to 20 days a year.
• 25 days holiday per year plus additional festive days.
• Private Medical Insurance.
• 1 day per quarter to do charity or community work.
• Family friendly benefits, including enhanced parental leave (18 weeks paid leave for Primary carer), up to 12 weeks paid leave for premature births and neonatal care and paid leave for IVF and fertility treatment and pregnancy loss.

We want to give everyone the opportunity to showcase their best selves during the interview process and beyond. Do let us know if there are any adjustments you’d like to make to ensure it’s more inclusive – we’re learning too, so we’re more than happy to adapt and accommodate where possible. Please note that we’re unfortunately not able to offer visa sponsorship for this role.