GTM Engineer (Revenue Operations)

We’re looking for a GTM Engineer to sit within our RevOps function, partnering closely with Commercial, Marketing, Product, and Engineering teams. This is a newly created role and Vitesse’s first GTM Engineer hire.

Responsibilities

• 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.
• 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.
• Identify opportunities to apply AI across the GTM funnel (e.g. 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 important in a regulated industry.
• 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.
• 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.
• 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.

Qualifications

• Ability to evaluate and implement AI solutions to improve GTM effectiveness and scalability.
• Experience in RevOps, Sales Ops, Growth, or a GTM systems role.
• Strong stakeholder management and collaboration skills, with the ability to build cross‑functional relationships and drive outcomes across teams.
• Experience with low/no-code tools (e.g. Zapier, Make) or scripting (e.g. SQL, Python) is a plus.
• Comfortable working with native integrations, APIs, and automation tools.
• Strong problem‑solving mindset — enjoys fixing broken or inefficient processes.
• Ability to prioritise work based on business impact.
• Strong experience with CRM systems (e.g. Salesforce).
• Able to operate with autonomy in a fast‑paced environment.
• Exposure to high‑growth startup/scale‑up environments (Fintech preferred but not essential).
• Strong understanding of how sales funnels, pipelines, and revenue models work.
• Clear communicator who can translate technical concepts into business impact.
• Highly proactive and solutions‑oriented with the ability to take initiative to drive improvements forward.
• Experience working cross‑functionally with Commercial, Product, and Engineering teams.
• Strong data literacy — able to structure, analyse, and interpret data effectively.
• Comfortable working with senior stakeholders and influencing decisions.

Benefits

• Enhanced Parental leave
• Hybrid working arrangements – minimum 2 days in the office, Tuesday - Thursday
• Financial Coaching with Octopus Wealth
• Cycle to Work Scheme
• Unlimited access to therapy sessions through our partner, Oliva
• Discounted Gym membership through Gympass
• Private Medical Insurance with AXA
• 2 days of volunteering leave per year
• 25 days Holiday per year (increasing by 1 day per years’ service, up to 30 days) + Bank Holidays
• Contributory pension scheme
• Life Assurance - MetLife (UK employees only)
• Sabbatical after 5 years’ service
• Ongoing Learning and Development to support you reach your career goals