GTM Engineer

Every team has AI. Few have mastered it. Humans were built to adapt, but AI is now moving faster than most workforces can. Multiverse is the AI adoption layer: the missing link between the AI tools that companies have invested in and the people expected to use them. Our ambition is to put AI capability in every worker’s hands. Apprenticeships got us started: we’ve trained over a third of the UK’s data and AI apprentices, worked with a third of the FTSE 100, and generated £2bn+ in verified ROI. Now Mastry, our new adaptive learning platform, takes that further, guiding a company’s AI workforce transformation from start to finish. Mae, our AI guide inside Mastry, is a real-time AI agent that thinks, speaks, listens and sees, working alongside the tools you already use, like Claude and Copilot. We closed our latest fundraising round in April 2026, with $500m+ raised in total from VC partners including Index Ventures, General Catalyst, Schroders Capital and Lightspeed. With a $2.1bn valuation, we are Europe’s first EdTech double unicorn, and we are just getting started. If you want to shape how the workforce wins in the AI era, come and join us. What You’ll Do Build AI workflow automation. Design, build and ship AI-powered workflows that remove manual GTM work; from lead research and CRM enrichment to call analysis, personalised outreach and lifecycle automation. Own builds end to end, from problem definition through deployment, monitoring and iteration. Bridge gaps between systems. Find creative ways to connect tools that do not natively integrate. Build the webhooks, middleware, scripts and glue that keep data flowing cleanly between Salesforce and the rest of the stack. Solve multi-departmental integration challenges. Work across the boundaries of Marketing, Sales, Customer Success, Data and Finance to turn tangled, cross-functional processes into reliable, automated systems. Prototype, test and scale. Test new ideas at small scale, measure what works, and scale the versions that deliver. Bring a bias to ship a working prototype over a perfect specification. Build with AI as the default. Use LLMs, agentic workflows, MCP builds and evals as everyday tools. Ask “how would AI do this?” before reaching for headcount or manual effort. Own reliability. Treat what you build as production systems: instrument them, monitor them, handle failure gracefully, and reduce risk across the GTM tech stack. Evaluate and recommend. Run structured pilots of new tools, assess capability, integration fit, reliability and ROI, and make clear build-versus-buy recommendations. Set the standard. Document what you build, enable GTM teams to adopt it with confidence, and mentor others in the team on building with AI and automation. What You’ll Bring Significant hands-on experience in RevOps, GTM Systems, or Sales Operations within enterprise technology, ideally in a structured qualification environment such as MEDDPICC. You understand the full GTM engine and you know what good looks like when real revenue depends on the systems you own. Solid data and systems fundamentals. You understand CRM data models, object relationships, data quality and reporting architecture, and you design builds that keep data clean and trustworthy at scale. A track record of building for internal GTM teams. Your strongest work is systems and workflows used every day by sales, marketing or CS teams inside a business, not only side projects, single-client builds or customer-facing pre-sales work. A builder’s mindset on top of that foundation. You have built things, not just configured them. You can point to workflows, automations, integrations or tools you shipped that moved a real metric, ideally things nobody explicitly asked you to build. You learn systems fast. You pick up unfamiliar platforms quickly and reason about how they fit together. You are comfortable reading API documentation, handling authentication, respecting rate limits, and parsing JSON when a native connector does not exist. Fluency with AI as a build material. Hands-on experience using LLMs, agentic workflows, prompt design and evals to build systems you can trust in production, not just as an end user. Comfort across low-code and code. You build with whatever fits the problem, from orchestration tools and Salesforce Flows through to scripting in Python, JavaScript, SOQL or SQL where it earns its place. Cross-functional range. You can interview a top rep to find the manual work that should not exist, translate a business problem into a technical build, and explain the result in plain language. Bias to ship, balanced with judgement. You move fast and decisively, and you build things others can maintain rather than sticky-plaster fixes. Deep CRM knowledge. Strong hands-on Salesforce experience, or deep expertise in a comparable enterprise CRM. Certifications are welcome but experience matters more. Beneficial, But Not Required Experience with traditional GTM third-party tooling such as Gong, LeanData, Lusha, Cognism, Clay, Floqer, Zapier, Tableau, Snowflake, Guru, or equivalents. Evidence of experimenting with AI beyond your day job, such as side projects or personal builds that show how you think. How You’ll Work: Our Operating Principles Solve for Customer Value. Define the customer problem and the value of solving it before you build. Drivers, Not Passengers. Take ownership and accountability, and bring others with you. Be Decisive, Even in Ambiguity. Speed is the strategy. Act with velocity over total certainty. AI to Deliver Outcomes. AI is our engine, not an add-on. Benefits Time off: 27 days holiday (including 3 winter shutdown days) and bank holidays, plus 5 extra days off (1 life event, 2 volunteer days and 2 summer shutdown days). Health and wellbeing: Bupa private medical insurance, a medical cash back plan, therapy through Spill and gym access through Wellhub. Equity for all : we believe that when Multiverse wins, we all win, which is why every permanent employee receives share options. Financial security: life insurance at 3x salary, a workplace pension with 4% contribution from us, Cycle to Work and a Tech Scheme. Family support: enhanced maternity and paternity leave, adoption and shared parental leave, paid leave after pregnancy loss, and a workplace nursery scheme. Hybrid working: 3 days a week in the office - except for Coaches & Instructors who come into the office 1 day per month. Plus 10 days a year to work from anywhere. Work perks: quarterly team socials, company-wide events, happy hours, lunch delivered to the office once a week, fully stocked snack bar and a drinks fridge! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here . Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy , our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.