Director of Revenue Operations in London

Hello, we're ScreenCloud! Founded in 2015 and with 10,000+ customers around the globe, ScreenCloud is a cloud-based SaaS company, employing over 100 people in our Bangkok, Belfast, LA, Charlotte and London hubs. At ScreenCloud, we're hard at work helping businesses to make stronger connections at scale, and with those who are most important to them; their employees & their customers. By using the screens on their walls & the content in their systems, we enable the sales, productivity & engagement that keep our customers’ businesses thriving. We believe AI is reshaping how we work. The playbook is still being written, and we find that exciting. We're building a company where AI empowers every team member to have outsized impact and we're looking for people who share that vision. We're very proud of our product and we're also incredibly proud of our people. It's our 'ScreenClouders' and the culture they nurture that will take us where other companies just can't go. So if you're someone looking to join a team of talented individuals, apply below!

The Role: Revenue Operations is how ScreenCloud's commercial strategy becomes execution - and how execution becomes the intelligence on which our GTM leaders, exec, and the board make decisions. The Director, Revenue Operations owns the function: architecting the commercial operating model, building the analytical foundations decisions rest on, and making RevOps the strategic voice in the room - forward-looking and guiding, not reactive and implementing. This is not a role that inherits a function and keeps it running. You are being hired to rebuild RevOps from a clean base as an AI-first function: one where the system does the work and the people do the judgment. You'll be the senior commercial partner to the executive team, and the architect of how Marketing, Sales and CS operate as one revenue engine. You'll inherit a small team and a mandate to make it a leverage engine, not a headcount one. Reports to the CMO; operates as a peer to the leaders of Sales, CS and Finance, with a direct line to the CEO and board on the numbers.

What 'AI-first' means here - and what we're not asking for: We don't mean someone who uses AI to do their existing job a bit faster. We mean someone who assumes AI capability as the baseline and designs the function around it: every recurring workflow has an automation path and an explicit answer to 'when does a human stop doing this.' Reporting that drafts itself. Forecasts that update continuously, not monthly by hand. Data hygiene enforced at the point of entry by validation logic, not by someone checking fields after the fact. The human's job is to set the models, own what's true, handle the exceptions the system can't, and defend the numbers under scrutiny. If your instinct on arrival is to rebuild the proven RevOps playbook, this isn't the role. If your instinct is to ask which parts of that playbook AI just made obsolete, it is.

Why this role matters: This role is the senior commercial voice in the room. The board, the exec, and the leaders running Marketing, Sales and CS rely on it for the analytical truth decisions get made on. Revenue Operations at ScreenCloud has to move from reactive ticket-handling to strategic intelligence and challenge. This role architects that shift - pushing the right conversations into the room and bringing the questions and the depth to answer them, not waiting to be tasked. Forecasting needs to be board-grade - defensible, weighted, well-modelled across new ARR. Retention and expansion analytics need to match it - cohort-led, segmented and predictive across GRR, NRR and product mix. This role builds both.

The AI and automation roadmap for the commercial motion, building the data foundation for intelligence and agents across Marketing, Sales and CS, in partnership with Data Engineering and AI Transformation. The AI-first operating model, with an explicit automation roadmap: for each recurring task, what AI owns, what the human owns, and the exit criterion that retires the manual version. Done well, RevOps becomes the engine the rest of the GTM motion runs on. This role co-owns the revenue section of the board pack - waterfall analysis, funnel analysis, retention cohorts and the narrative layer that ties them together - and provides the credibility layer for incentive design and investment cases.

What you own: Strategic intelligence and exec partnership. The revenue thinking partner to the CMO, CRO, CCO and CFO - bringing the questions and the depth to answer them, not waiting to be tasked. The commercial intelligence layer the exec & board rely on - a defined metrics framework across the full funnel (not ad-hoc reporting), how each metric is modelled, and what it says about where we're heading. The architecture of where AI and data leverage land in the commercial motion, in partnership with the Director, Data Engineering and the Director, AI Transformation. The customer health and journey lens with CS leadership - multi-dimensional, predictive; following a customer from top-of-funnel through expansion or churn. This means integrating product usage data into the customer health view - currently a meaningful gap - so we can see what usage profiles predict expansion vs churn, and direct CS effort to where it pays back.

Operating rhythm: The standing forecasting rhythm - new business, expansion, contraction, churn - with a monthly weighted forward view two quarters out, board-grade GRR, NRR, cohort retention and expansion white-space analytics - segmented by tier, ICP, CSM and sector. The operating cadence across Marketing > Sales > CS - one joined-up funnel view, not three siloed dashboards. Active input into annual and mid-year planning for each motion - stress-testing assumptions on capacity, quotas, channel mix, expansion targets.

Building the function: Building the integrated lead-to-cash view and the GTM data architecture beneath it - one revenue picture across all motions, trusted by exec and board, with consistent definitions, source-of-truth, and a single dashboard truth. Tech stack discipline - rationalising the GTM stack (Salesforce, HubSpot, Chargebee, Vitally, Hook, Gong, etc.) toward fewer tools and fewer failure modes, while retaining the functionality the business needs. The operating model - escalation matrix, triage discipline, standing reporting cadence, and CRM hygiene monitored continuously. The team - four direct reports, with people development, calibration and growth paths.

Profile: 8+ years in Revenue Operations leadership at a SaaS business at $30M-$150M ARR, ideally with hybrid PLG / Enterprise motion experience, and depth across Sales, CS and Marketing operations. Has built or run forecasting at board-grade - multi-cohort, multi-segment, weighted, defensible under scrutiny.