---
title: 'GTM Engineer at Multiverse'
canonical: 'https://feeny.ai/job/gtm-engineer-multiverse-london-zvm4w0wcb5bx'
type: 'job'
last_seen: '2026-10-28'
---

# GTM Engineer at Multiverse

- **Company:** Multiverse
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-10-28
- **Apply:** https://jobs.ashbyhq.com/multiverse/9aef77c9-0b58-4947-8004-fc9ce809c70a

## Job description

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

## 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, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
- Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
- Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
- Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

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](https://www.multiverse.io/en-GB/our-policies/equality-diversity-and-inclusion-policy). 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](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/50283d0600920c5f1e02cf44e54c0f1534c74e61.pdf), our [Prevent Policy](https://cdn.sanity.io/files/6y1mknvo/prod-20240319/35a5defca7346bb1c212250867754b0a7ae5b478.pdf)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.

## About Multiverse

## Company Overview
- **One-liner**: Multiverse is an upskilling platform that combines expert human coaching with an AI-powered learning engine to help organisations adopt AI, data and tech skills at scale.
- **Entity Type**: Private (Series D, most recent raise $70m in 2026 at a $2.1bn valuation)
- **Headquarters**: London, United Kingdom (Paddington)
- **Founded**: 2016
- **Founders**: Euan Blair

## Core Business
- **Primary industry**: Workforce upskilling / EdTech / AI adoption services
- **Target customers**: B2B – enterprises and mid-market organisations (1,500+ companies including Microsoft, Mars, John Lewis Partnership)
- **Mission statement**: “Equip the workforce to win in the AI era.”

## Products & Services
- **AI Adoption Platform**: An end-to-end platform that diagnoses skills gaps, prescribes learning paths (using the MAGE framework), and tracks quantifiable business impact (productivity, cost savings, ROI).
- **Professional Apprenticeships**: Accredited programmes (Level 3, Level 4) in AI, data, and tech – e.g. Data Technician, Data Analyst, AI & Automation Practitioner, Digital Support Technician. Delivered over 13 months with a 3-month assessment period.
- **AI Solutions Builder**: A programme to create agentic AI experts who build solutions to improve team processes and eliminate repetitive tasks.
- **Data Fellowship & Data & Insights for Business Decisions**: Programmes for aspiring/junior to mid-level data professionals.
- **AI-Powered Productivity**: Coaching on GenAI tools (Microsoft Copilot, Gemini) with responsible AI use.
- **Human + AI Coaching**: An ecosystem of expert coaches and AI support to guide learners through their upskilling journey.

## Market Standing
- **Valuation**: $2.1 billion (post-money after $70m raise in 2026; previously $1.7bn post-money in June 2022 Series D)
- **Key Metric**: Over £2 billion tracked ROI for employers; 22,000+ learners; 1,500+ companies served; 800+ employees
- **Notable Investors/Partners**: Schroders Capital (lead in 2026 round), General Catalyst, Lightspeed Venture Partners, StepStone Group. Key partners include Microsoft, Mars, John Lewis Partnership.
- **Growth Signals**: Raised $70m at a higher valuation in 2026 to accelerate European expansion; growing headcount (850+ employees reported on careers page); launched new AI-specific programmes; expanded from UK into the US.

## Competitive Advantages
- **End-to-end AI adoption layer**: Combines skills diagnosis, custom learning paths, human coaching, and ROI measurement – not just content delivery.
- **Proven ROI focus**: Every programme is designed to deliver measurable business outcomes (e.g., $2bn+ in customer ROI cited).
- **Accredited apprenticeships for all career stages**: Offers government-recognised qualifications but for any age (not just early career), bridging the gap between traditional education and workforce needs.
- **AI-native approach**: AI is “the engine, not an add-on”; the platform itself uses AI to personalise learning and coach at scale.

## Strategic Focus
- **European expansion**: The 2026 $70m raise, led by Schroders Capital, is specifically earmarked for accelerating growth across Europe.
- **Deepening AI adoption capabilities**: Building the “adoption layer” for organisations – helping them move from buying AI tools to actually getting employees to use them effectively.
- **Scaling the platform**: Continuing to add new programmes and improve the MAGE learning framework to drive more business impact.

## Why Work Here
- **Culture**: Described as “mission-driven” with a focus on achievement, mastery, and behaviour (BAM framework). Emphasis on continuous feedback, improvement, and being “owners” who drive outcomes.
- **Hybrid working**: 3 days per week in the London office (Paddington); plus a “10 days work from anywhere” scheme.
- **Benefits**: Bupa Private Medical Insurance, Unum Cashplan, Wellhub gym/wellness membership, enhanced pension (5% + 4% employer contribution), tech and cycle scheme, workplace nursery, share options (role dependent), 2 extra M-Powered Days off, life insurance, therapy support.
- **Learning and growth**: “Never stop growing” is a core value; intensive 2-week AI onboarding for all new hires; quarterly team socials.
- **Engineering culture**: Active hiring for roles like AI Solutions Engineer, Senior Software Engineer (AI Adoption Product), Applied AI Engineer, Analytics Engineer, AI Learning Architect – indicating a strong focus on building the platform in-house.

## Sources
1. [multiverse.io – Homepage](https://www.multiverse.io/)
2. [multiverse.io – Careers “We’re Hiring”](https://www.multiverse.io/careers/were-hiring)
3. [multiverse.io – Our Mission](https://www.multiverse.io/about/our-mission)
4. [multiverse.io – Careers (open roles)](https://www.multiverse.io/en-US/careers?q=advanced)
5. [linkedin.com – Multiverse company page](https://www.linkedin.com/company/joinmultiverse)

## Other roles at Multiverse

- [Senior Product Marketing Manager](https://feeny.ai/job/senior-product-marketing-manager-multiverse-london-ya6vph9h14gg) — London, United Kingdom
- [Internal Communications Manager](https://feeny.ai/job/internal-communications-manager-multiverse-london-m3h19wkkewhz) — London, United Kingdom
- [Talent Partner](https://feeny.ai/job/talent-partner-multiverse-london-gawh6b11ac0x) — London, United Kingdom
- [Senior Talent Partner](https://feeny.ai/job/senior-talent-partner-multiverse-london-djcwq49mrdvw) — London, United Kingdom
- [Data Technical Trainer](https://feeny.ai/job/data-technical-trainer-multiverse-london-a3xw45gsgpm7) — London, United Kingdom
- [AI - Workshop Lead](https://feeny.ai/job/ai-workshop-lead-multiverse-london-pbf0he7kg0bp) — London, United Kingdom
- [Workplace Manager](https://feeny.ai/job/workplace-manager-multiverse-london-jy50cpys3agx) — London, United Kingdom
- [People Product Lead](https://feeny.ai/job/people-product-lead-multiverse-london-m16cnaf9bhcz) — London, United Kingdom
- [Success Coach FTC](https://feeny.ai/job/success-coach-ftc-multiverse-london-vk8xsx0810sh) — London, United Kingdom
- [Strategy Manager](https://feeny.ai/job/strategy-manager-multiverse-london-3hxrqgxxx7jw) — London, United Kingdom