At a Glance
- Tasks: Lead client discovery sessions and build compelling business cases for AI solutions.
- Company: Dynamic London-based AI company revolutionising enterprise workflows.
- Benefits: Competitive salary, uncapped commission, equity, and flexible work arrangements.
- Other info: Exciting growth opportunities in a collaborative environment.
- Why this job: Join a fast-paced team and make a real impact with cutting-edge AI technology.
- Qualifications: 3-10 years in customer success or solutions consulting with a consultative approach.
The predicted salary is between 60000 - 80000 £ per year.
A London-based AI company building autonomous AI agents that automate complex enterprise workflows. They’ve raised $50M so far from top-tier VCs, with product‑market fit with Fortune 500 clients, and looking to raise their Series B.
The Role
They’re building a Value Engineering team that operates across the full revenue cycle – pre‑sales through to customer success. You’ll be in front of clients from day one, translating complex AI capability into concrete business outcomes. 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
- Lead discovery sessions and value workshops with enterprise clients
- Build the commercial case: ROI models, use case briefs, success metrics – the evidence that moves deals
- Own pre‑sales from first technical conversation through to signed contract
- Work directly alongside sales to accelerate pipeline and close
- Develop reusable collateral – playbooks, templates, benchmarks – that compound across the team
What You’ll Be Measured On
- New Logo ARR – new business you help close
- NRR – renewals and expansions you own
You own both sides of the revenue equation. 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
- Track record of working across the deal lifecycle – not just one side of it
- Comfortable in ambiguous, fast‑moving environments with minimal process
- Consultative – you diagnose before prescribing, lead with business outcomes
- 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
- 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. Or you’ve come from a consulting background (strategy, analytics, or tech implementation) and moved vendor‑side.
Solutions Consultant in London employer: Kelaca
Kelaca is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to engage directly with clients from the outset, translating AI capabilities into impactful business solutions. The collaborative environment encourages independent thinking and offers unique advantages such as access to cutting-edge technology and a commitment to driving meaningful outcomes.
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We think this is how you could land Solutions Consultant in London
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We think you need these skills to ace Solutions Consultant in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kelaca. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kelaca
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
