Kelaca
AI Value Realization Manager

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Solutions Consultant / Value Engineer
London (Hybrid) | AI Scale-Up
The Company
A London-based AI company building autonomous AI agents that automate complex enterprise workflows. They've raised $50M so far from top-tier VCs, have product-market fit with Fortune 500 clients, and are gearing up to raise their Series B.
The Role
They're building a Value Engineering team that owns the value a client gets across the full relationship, from first conversation through to renewal and expansion. The heart of the role is making sure clients realise, prove and grow the value of what they've bought: driving adoption, deepening usage, and turning early wins into expansion. You'll also work the pre-sales side, building the commercial case that gets deals over the line, but the emphasis is on owning outcomes after the signature, not just before it.
You'll be in front of clients from day one, translating complex AI capability into concrete business results.
This is not a hand-holding role. You'll be thrown into live client situations and expected to figure it out. If that energises you, read on.
What You'll Do
- Own post-sale outcomes: onboarding, adoption, value realisation, expansion and renewal, this is the core of the role
- Prove and grow value, turn delivered results into the evidence and the relationships that drive expansion
- Build the commercial case: ROI models, success metrics, use case briefs, the evidence that proves value and moves deals
- Lead discovery sessions and value workshops with enterprise clients
- Partner with sales across the pre-sales cycle, from first technical conversation to signed contract
- Develop reusable collateral, playbooks, templates, benchmarks, that compound across the team
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.
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.
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.
See breakdownIt 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.
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.
What You'll Be Measured On
- NRR, the renewals and expansions you own, your core number
- New Logo ARR, new business you help close
You own both sides of the revenue equation, with the weight on retaining and growing accounts. Commission is uncapped and tied directly to the ARR you influence, on top of base salary.
What They're Looking For
Experience
- 3-10 years in customer success, value engineering, solutions consulting, or a hybrid pre/post-sales role, with genuine depth on the post-sale, value-realisation side
- Track record of owning adoption, expansion and renewal, not just landing the initial deal
- Comfortable in ambiguous, fast-moving environments with minimal process


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Approach
- Consultative, you diagnose before prescribing, and lead with business outcomes
- Outcome-owning, you stay with the client after the sale and hold yourself to the value they actually realise
- Stakeholder-facing, you partner with business decision-makers, not just technical teams
- Independent, you operate well with loose guidance and take ownership
- AI-native, you automate your own workflows and bring that mindset to clients
Communication
- Clear, confident, direct, in writing and in the room
- You can turn complex capability into a one-page business case a CFO will read
Logistics
- 2 days/week in office (West London)
- Competitive base + uncapped commission + equity
- Interview process: 2-3 interviews + practical challenge
You've Probably Worked At
AI or data platform vendors like Celonis, Dataiku, Snowflake, Databricks, Palantir, C3.ai, DataRobot, Quantexa, ThoughtSpot, Alteryx, or similar Series A/B/C scale-ups selling complex technology into enterprise, ideally in a role that owned customer outcomes and expansion, not just new business. Or you've come from a consulting background (strategy, analytics, or tech implementation) and moved vendor-side.
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