ScreenCloud
Director of Revenue Operations
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
- Operates as a strategic peer to senior commercial leaders — challenges back, asks the harder questions, doesn't wait to be tasked
- Strong analytical instincts — knows what good cohort, retention and expansion analysis looks like, and what bad analysis dressed up as good looks like. Storyteller as well as data person — translates analytics into narrative, narrative into decisions execs can act on
- AI-first — uses AI tooling in your own workflow and has a clear view on where it belongs in the RevOps motion
- Strong people leader — has built and developed a small ops team. Builder mindset — wants to transform the function, not run it as-is. Player-coach disposition: comfortable designing the system and comfortable rolling up sleeves early
- Direct, calm, decisive — willing to say no to wrong requests; willing to push back on senior stakeholders when discipline is at risk
Bonus Skills
- Familiarity with our stack — Salesforce, Chargebee/Stripe, HubSpot, Vitally, Hook, Gong, Redshift, PowerBI, Intercom Fin, Qualified
- Has led a billing platform migration (Chargebee → Stripe or similar)
- Experience consolidating GTM tech stacks
- Experience operating in a business where Marketing, Sales and CS ops sat in different orgs and had to be brought into one motion
Interview Process and Experience
Don’t meet every single requirement? Studies have shown that women and people of colour are less likely to apply to jobs unless they meet every single qualification. At ScreenCloud, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles! If you require any reasonable adjustments, please let our friendly recruitment team know.
Key Info
- Typical Process: Intro to ScreenCloud - Meet the Hiring Manager - Challenge - Final
- Hybrid Friendly Working: 2-3 days in Office
- Flexi-Hours: We don’t follow the strict 9-5 here, we trust you to execute your role to the highest standard whilst being able to make time for the things you love!
Benefits
- Take the Time You Need – Unlimited paid time off to rest, recharge, or explore.
- AI As Standard - You'll have access to the AI tools you need to work the way we're describing. We don't ask you to work with AI and then make you fight for a license.
- Hybrid-First Flexibility – A blend of in-office collaboration and remote freedom
- Work From Anywhere – Up to one month a year to work remotely from any location in
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location