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AI Revenue Growth Manager

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Job Title: AI Revenue Growth Manager
Job Type: Full-time
Location: London, UK (Hybrid)
Seniority Level: Senior/Executive
Industry: IT Services & IT Consulting, Software Development, Artificial Intelligence
About the Company
We are recruiting on behalf of a premier global technology solutions and services group. Expanding rapidly within the artificial intelligence sector, they are launching a dedicated AI Data Services business unit across the UK and EMEA. This division delivers mission-critical data networks, specialist human-in-the-loop expertise, and model evaluation capabilities to world-leading AI research labs and technology enterprises.
Role Overview
As the AI Revenue Growth Manager (AI Data Services), you will lead regional revenue growth and market expansion across UK and EMEA. Reporting directly to the General Manager, this is a senior individual contributor role responsible for identifying, qualifying, and closing complex commercial agreements with frontier AI labs, foundation model creators, hyperscalers, and robotics/embodied AI firms. You will combine strategic market hunting with consultative solution selling, positioning advanced AI data capabilities (annotation, RLHF, model evaluation, red-teaming) to technical leaders, C-suite executives, and enterprise procurement teams.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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.
Key Responsibilities
- Revenue Generation: Drive new business acquisition across target segments-including frontier LLM labs, physical/embodied AI platforms, and enterprise AI buyers across UK/EMEA.
- Go-to-Market Execution: Develop and execute regional GTM strategy, including account prioritisation, Ideal Customer Profile (ICP) refinement, and proactive outbound prospecting.
- Consultative Solution Selling: Lead end-to-end sales cycles by diagnosing client technical requirements and crafting custom proposals for data annotation, model evaluation, RLHF, and red-teaming services.
- Commercial Negotiation: Own complex contract negotiations, structuring mutually profitable agreements and handling handover to global delivery centers.
- Strategic Partnering: Build trusted advisor relationships with technical, commercial, and executive stakeholders, differentiating the offering from pure-play vendors and in-house solutions.
- Market Intelligence & Forecasting: Provide structured market feedback to global leadership on pricing, product packaging, and competitive dynamics while maintaining rigorous CRM forecasting discipline.


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Qualifications & Requirements
- Commercial Experience: 8-12+ years of progressive experience in enterprise B2B sales, business development, or strategic account management, with a consistent track record of exceeding multi-million-pound revenue targets.
- Domain Expertise: Strong familiarity with the AI services landscape (RLHF, data labeling, red-teaming, synthetic data, embodied AI pipelines) and foundation model ecosystems.
- Relevant Network: Established network of key decision-makers across AI labs, technology hyperscalers, or robotics platforms across UK/EMEA.
- White-Space Selling: Proven ability to build a pipeline from scratch, launch new service offerings, or enter fresh regional markets.
- Education: Bachelor’s degree in Business, Computer Science, Engineering, or a related discipline; an MBA or relevant sales/AI certifications is advantageous.
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