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AI & Revenue Operations Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Light Inc
Full Time position
Listed on 2026-10-21
Job specializations:
  • Business
    Business Intelligence, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Light brings together the ledger, apps tailored to individual businesses and AI agents that carry out finance workflows. We are building the financial foundation for companies operating across entities, currencies and industries.

We are looking for an ambitious leader with practical AI expertise, sharp commercial judgement and the ability to turn strategy into execution. Working directly with the VP Sales, you will help shape where we invest, identify what holds us back and build the systems that move us forward.

You will be a close strategic and execution partner: prepared, proactive and comfortable challenging constructively. Bring a clear point of view, turn decisions into owners and deadlines, and drive work across teams through to adoption.

What you’ll own
  • AI and automation. Build reliable AI agents and connected workflows for account research, meeting intelligence, opportunity inspection, follow-ups, forecasting and reporting. Connect models to business data and systems, evaluate accuracy and measure the time saved and commercial impact.

  • Growth planning and market intelligence. Partner with GTM and Finance on territories, capacity, hiring, quotas and investment. Identify patterns in the customers we win and the problems they buy us to solve. Turn regional, industry and partner opportunities into credible operating plans.

  • Revenue performance and board reporting. Own a trusted view of pipeline, conversion, win rates, sales cycles, productivity, retention and expansion. Help the VP Sales and Finance prepare the commercial board pack, translating performance and forecasts into a clear narrative and recommendations. Participate in relevant board discussions as required.

  • Sales execution and systems. Improve Hub Spot, lead routing, attribution, data quality and handoffs across Lead → Close → Renew → Expand. Embed MEDDIC, stage gates, economic buyer engagement, pricing approvals and forecast discipline. Make direct and partner performance visible.

  • Leadership and scale. Drive weekly reviews and quarterly execution plans with Sales, Marketing, Partnerships, Customer Success, Implementation and Finance. Give managers actionable insight into pipeline, coaching and capacity. Strengthen onboarding, the sales playbook and prospect-specific demo workflows.

What you bring
  • Practical AI expertise. You have built and deployed working AI workflows, connected tools and data through APIs or automation, and managed accuracy and reliability. You can show what you built, who uses it and what improved.

  • Commercial and analytical strength. You understand recurring revenue and pipeline economics. You can build planning models independently, interrogate assumptions and turn complex analysis into a clear recommendation. Strong Excel or Google Sheets skills are expected; SQL, BI and scripting are valuable.

  • Hands-on delivery. You are comfortable improving CRM systems, ideally Hub Spot, and connecting the GTM stack. You have owned a meaningful initiative from diagnosis to implementation, adoption and measurable results.

  • Leadership and judgement. You earn trust, influence across functions and challenge senior colleagues with evidence. You set priorities, bring people with you and know when to act or elevate.

  • Ambition and discipline
    . You learn quickly, seek responsibility and maintain high standards r background may be in Rev Ops, GTM engineering, AI, strategy or consulting. Evidence of impact matters more than a fixed number of years or a particular degree.

Your first 90 days
  • 30 days: understand the revenue engine, establish performance and workload baselines, and agree the highest value priorities with the VP Sales.

  • 60 days: deliver a trusted performance view, strengthen the forecast cadence and put the first priority AI…

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