Lead GTM System Builder
Wedmore, North Somerset, UK (Hybrid)
£79K/yr – £125K/yrSenior Level7+ years expFull time
Posted 10 days ago
Job Summary
Own and deliver end-to-end AI-powered automation for GTM teams by turning GTM problems into production systems, including design, implementation, embedding with local teams, and full ownership of live systems.
- Lead end-to-end delivery without PM handoffs.
- Architect and ship AI-powered workflows with production-grade decisions and reliability.
- Embed with local teams to train and transfer knowledge as needed.
Job Description
Responsibilities
- Meet with GTM teams to understand their processes firsthand, then design and ship automation that removes real manual work
- Own delivery end to end: no PM, no handoff, you scope, build, and validate what you ship
- Travel to local offices when deeper embedding is needed, build alongside the team for a few days, and train them on what you shipped
- Architect systems that integrate with Salesforce, HubSpot, Nue, Databricks and Gong, with security and reliability built in from the start
- Work as the connective layer between engineering rigor and commercial reality, translating GTM problems into production-grade AI systems
- AI Fluency Level 4: this role is built around it. You will design and ship AI-powered systems that GTM teams depend on for real commercial outcomes, not internal prototypes. That means making engineering decisions about model choice, agent design, and RAG pipelines the same way you would about any other production system, and taking full ownership of what happens when it is live.
Requirements
- 5 to 7+ years of engineering experience at Tech Lead, Staff, or Principal level, with a track record of owning a technical domain end to end at a company between 100 and 2,000 people
- The last 6 to 12 months spent heavily on AI: building agents, shipping AI-built systems to production, with concrete proof of impact rather than demos
- Genuine fluency with LLM APIs, agent frameworks, RAG pipelines, and MCP integrations, as an active practitioner rather than an occasional user
- Deep engineering judgment: you can validate AI-generated code, reason about security and architecture, and are comfortable in any language rather than tied to one tool or platform
- AI Fluency Level 4 or the equivalent hands-on experience shipping AI-powered systems into production
Preferred
- Some Salesforce or CRM engineering experience, beyond admin or low-code configuration
- Familiarity with the GTM stack: HubSpot, Nue, Databricks, Gong, Clay
- Comfort working directly with RevOps or sales ops stakeholders without needing a translator
Benefits
- Global Benefits
- No matter where you’re based, you’ll enjoy:
- Unlimited paid holiday (yes, really)
- Participation in our company share program
- Paid parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available after one year of service)
- An annual Learning budget of €300 (and more for high performers) to support your development
- Monthly "EDGE" time to Explore, Develop, Grow, and Elevate yourself
- A work from anywhere policy with flexibility to work abroad for a few weeks each year
- Relocation options, available after one year
- Flexible, hybrid working options
This podcast will provide authentic, insight-driven conversations on building human-centered workplaces
Salaries
Posted range
£79K/yr – £125K/yr
Taken straight from the job posting.
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