Revenue Operations Manager in London

The AI Operating System for Private Capital. Capsa AI is focused, ambitious, and obsessed with building a category-defining company. In the last 12 months, we've grown ARR 15x, achieved product–market fit with leading multi-billion-dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top-tier VC investors to scale the team. We're hiring hyper-talented people who want to work at the forefront of AI and revolutionise an industry.

At a glance:

• Role: Revenue Operations Manager
• Location: London (Hybrid, in-person 4 days per week)
• Team: Go-To-Market
• Experience Required: Revenue Operations, Sales Operations, or GTM Strategy experience. Ideally at a high-growth B2B SaaS company that scaled through the stage we're at now.
• Compensation: Top of market. Competitive base plus OTE.

The role involves building the foundations that turn fast growth into hyper growth. This is the first RevOps hire and it sits at the centre of the commercial function. You report to the CRO, work in lockstep with the founders, and own the systems, data, and operating rhythm that the entire revenue org runs on. As the team scales across two geographies and four motions (closing, prospecting, deployment, and customer success), the infrastructure you build is what makes it possible to scale without losing forecasting accuracy, ramp time, or attribution discipline. The function doesn't exist yet, which is the appeal. You'll set it up the way you know it should be set up, then grow a team underneath you as the business scales.

The opportunity includes:

• HubSpot as the system of record: Architecture, deal stages, automations, dashboards. Everyone uses it the same way.
• Forecasting and pipeline: Methodology, coverage targets, weekly cadence. The CRO stops being the bottleneck for 'what's the number?'
• Territory and attribution: Documented rules for territory ownership and SDR-sourced vs AE-sourced credit, audited and enforced so there are no recurring arguments.
• The SDR motion infrastructure: Outbound tooling, cadence design, lead routing, and SDR-to-AE handoff. The plumbing that lets a scaling SDR team reliably feed pipeline.
• Onboarding playbooks: 30/60/90 milestones for AEs and SDRs with system access, training, and ramp criteria built in. Cuts ramp time and the productivity gap that comes with it.
• Comp plan administration: Quotas, accelerators, SPIFFs, and SDR quality gates calculated automatically. A number carriers can trust.
• Sales and customer analytics: Pipeline conversion, win/loss, leading indicators, PoC health, customer usage, renewal forecasting, expansion signals, and churn risk. Surfaces problems early enough to fix them in the quarter.

Track record required:

• 5+ years in Revenue Operations, Sales Operations, or GTM Strategy. Ideally at a high-growth B2B SaaS company that scaled through the stage we're at now.
• Experience building from scratch: You've set up CRM architecture, forecasting cadences, attribution rules, and comp plans from a blank page.
• HubSpot fluency: Deep in the platform, including workflows, custom objects, reporting, and integrations. Salesforce experience welcome but you should be comfortable owning HubSpot day one.
• Comfortable across the full GTM motion: Inbound, outbound, AE pipeline, and post-sales. You've supported sellers and CS teams, with real experience of both.

How you operate:

• Systems thinker: You see the second- and third-order effects of a process change before you ship it.
• Data-led with judgement: You build what the team will actually use, rather than the dashboard that looks impressive in an all-hands.
• Direct communicator: You can tell a Managing Partner the forecast is wrong, and you can tell a rep their pipeline isn't real, in the same week.
• Builder: You want to define a function and own how it gets built. Low ego, high ownership, bias for action over planning theatre.
• Genuinely curious about AI: Using it to compound your own output and building it into how the GTM org runs.

If this opportunity excites you, we'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months.

Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Capsa AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.