GTM Engineer, Multiverse
1-3 days a week in office
Upskilling platform for AI and tech adoption
Be an early applicant
Upskilling platform for AI and tech adoption
501-1000 employees
Be an early applicant
1-3 days a week in office
501-1000 employees
Company mission
To equip the workforce to win in the AI era.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
Salary benchmarks
Our take
Multiverse is on a mission to equip the workforce to win in the AI era. That means helping people at all stages of their career gain the tech, data, and leadership skills needed to thrive in an age of rapid automation and AI transformation.
Multiverse positions itself as the upskilling platform for AI and tech adoption, partnering with over 1,500 companies across the UK and US (including Google and Facebook) to deliver a new kind of learning. This approach is grounded in applied, work-based training designed to deliver measurable outcomes. And these apprenticeships are open to individuals of any age or career stage and focus on critical capabilities in AI, data, and tech skills.
And the impact is real. Multiverse learners have driven over $2B in ROI for their employers by directly applying their skills to improve productivity and performance. The company's success is not only reflected in its outcomes, but also in recognition, having secured significant funding in 2022, bringing its post-money valuation to $1.7B and cementing its status as the UK's first EdTech unicorn.
Steph
Company Specialist at Welcome to the Jungle
Meet the team
70 people
Gary, Chief Learning Officer
Our mission
Unlocking economic opportunity and potential for individuals and orgs by closing skill gaps through measured, applied, guided and equitable learning.Insights
58% female employees
96% employee growth in 12 months
Trustpilot (3.5)
Company
Employee endorsements
Opportunities to learn
"Whether that's the content in the course you are teaching of which you're developing a deeper understanding, weekly CPD (continuous professional..."
Funding (last 2 of 6 rounds)
May 2026
$70m
LATE VC
Jun 2022
$220m
SERIES D
Total funding: $484m
Company benefits
- Working from abroad
- Free access to Wellhub's Starter, Basic and Bronze plans (free gym + more)
- M-Powered long weekend to refresh and recharge
- A focus on wellbeing with access to Spill therapy support and Employee Assistance Programme
- 24 days holiday, 3 winter shutdown days plus 1 life event day and 2 volunteer days
- Full Medical Insurance coverage through Bupa, and your medical history is disregarded
- Life Insurance coverage through AIG. This benefit pays out 3x your base salary to your beneficiaries
- Our Cycle to Work scheme enables bike ownership with up to 42% savings
- Tech scheme: you can purchase new electronics, including accessories, up to £1,000, and spread the cost through 12 interest-free monthly repayments
- Workplace Nursery benefit is provided by Enjoy Benefits and is there to help employees with the cost of childcare at a nursery setting
Company values
- Solve for Customer Value
- Drivers, not Passengers
- Be Decisive, even in Ambiguity
- AI to Solve Problems
Company HQ
Paddington, London, UK
Articles
Leadership
Euan Blair
(Founder & CEO)Prior to founding Multiverse, Euan was the UK CEO of Sarina Russo Group, an employment and training provider with more than 1,500 staff worldwide and a turnover exceeding £100 million.
People progressing
Peppa joined Multiverse in 2019 as a Senior Account Executive. Since then, they have held a number of roles and now serve as the Senior VP/GTM.
People breakdown
13%
11%
6%
68%
2%
Asian
Black or African American
Multiracial / Multiethnic
White
Unknown
Last updated on 10 September 2024
Diversity, Equity & Inclusion at Multiverse
Serena Vaughan (Career Mobility Lead)
- We want to be a leader in Diversity, Equity & Inclusion (DEI), so we’re working hard to drive the change we want to see in the world, inside Multiverse.
- Everything we do in the DEI space is undertaken with the goal of being representative of the geographies in which we operate – and our apprentice community. Gender diversity has been a long-term challenge for the tech world. We're proud that 55% of our UK Team identify as women, this increases to 64% of our Global Leadership Team (director level and above). We're also proud of our thriving LGBTQQIAAP community, comprising 11% of our UK Team.
- We're committed to improving the diversity of our workforce, at all levels. We continue to invest in early talent through our in-house apprenticeship scheme – something we know is a fantastic route into our organization for exceptional talent from a diversity of backgrounds.
- Last year we identified improving the diversity of our Global Leadership Team (director level+) internally as an area of focus. Steps that we took included introducing robust DEI monitoring processes, rolling out Inclusive Recruitment Training to all staff involved in the hiring, and launching our first internal, Global Leadership Accelerator program.
- We’re proud that in the last 12 months, the representation of colleagues from ethnic minority backgrounds at director+ levels, globally, has increased from 6% to 19%. This is good progress but we still have work to do and are committed to building a leadership team that is representative of our colleagues and of the communities we serve.
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