GTM Engineer; RevOps

GTM Engineer (Rev Ops) YOUR MISSION

We’re looking for a GTM Engineer to sit within our Rev Ops function, partnering closely with Commercial, Marketing, Product, and Engineering teams. This is a newly created role and Vitesse’s first GTM Engineer hire. You will help shape how GTM engineering operates across the business, building the foundations and systems that enable the function to scale. Working across the entire revenue funnel, you will architect end‑to‑end revenue systems that drive efficiency, insight, and growth.

You will own the automated systems that move revenue through the funnel—from the agentic top‑of‑funnel stack that generates pipeline, to the intelligence layer that scores opportunities, surfaces risk, and recommends next best actions, through to seller enablement systems that increase team capacity and effectiveness. You’ll design workflows, integrate tools, and optimise the technical backbone of our GTM engine to help Sales, Partnerships, and Customer teams operate more effectively at scale.

You will also play a central role in building the Vitesse “Brain” – a capability that will become increasingly important in an AI‑driven world. This role is ideal for someone who combines commercial awareness with strong technical execution and enjoys solving complex problems through data, systems, and automation.

Build, Optimise & Automate GTM Systems

• Own and evolve the connectivity across our core GTM tooling ecosystem, including marketing platforms, CRM, sales engagement, reporting, and analytics tools
• Design scalable workflows that improve how we understand, acquire, convert, and retain customers
• Identify inefficiencies and implement automation to reduce manual processes across the GTM function
• Build reusable systems, workflows, and templates that scale across the organisation and compound in value over time
• Develop and optimise native integrations across GTM tools, databases, and commercial platforms
• Leverage APIs, low/no‑code tools, and scripting to deliver scalable technical solutions
• Automate seller workflows including call preparation, post‑call follow‑ups, CRM hygiene, and proposal generation to maximise selling time
• Partner closely with Engineering on more complex technical builds and integrations where required

Leverage AI to Enhance GTM Performance

• Identify opportunities to apply AI across the GTM funnel (lead scoring, customer tiering, pipeline prioritisation, enrichment, outbound personalisation)
• Build and implement AI‑driven workflows to improve efficiency and decision‑making across Sales and Customer teams
• Partner with Commercial teams to embed AI into day‑to‑day processes in a practical, value‑driven way
• Continuously test, iterate, and optimise AI‑led initiatives based on measurable impact
• Support in defining best practices and guardrails for deploying AI responsibly within GTM workflows, particularly in a regulated industry

Partner with Commercial teams

• Work closely with Sales, Partnerships, and Customer Success to understand challenges and opportunities
• Translate GTM needs into scalable system and process solutions
• Enable teams with better data, tooling, and workflows to improve performance
• Drive adoption through hands‑on training, pair‑building sessions, and documentation—so the org builds capability, not dependency on one person

Build Deal & Opportunity Intelligence

• Turn intent, engagement, and conversational signals into deal scores, risk flags, and next‑best‑action prompts that reach sellers where they work
• Bridge the gap between product usage data and commercial activity to surface early indicators of expansion or churn risk
• Help define and maintain the scoring models and decision logic that underpin how we prioritise deals and accounts
• Support development of product‑led or data‑driven GTM strategies grounded in real conversion outcomes

Reporting & Insights

• Support the wider team to build analytics and reporting that provide clear visibility on pipeline, conversion, and performance
• Ensure data quality and consistency across systems, particularly in an AI world
• Support the analytics and reporting team to provide leadership with actionable insights, not just data