Ref 11598
Value Consultant | AI.
- £100,000
Revolutionise Business with AI: Join Our Client as a Value Consultant!
Are you driven by the desire to solve complex problems and make a tangible impact with AI technology? Do you thrive in dynamic environments and have a knack for uncovering business opportunities? If so, our client, a leader in Causal AI, is looking for you to join their London team as a Value Consultant.
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The Company
Since its inception in the last 10 years, our client has pioneered Causal AI—a groundbreaking advancement in machine intelligence. They’ve launched decisionOS, the first enterprise decision-making platform powered by Causal AI, and have raised $40+ million in Series A funding. Recognised by Gartner and included in Otta’s 2022 Rocket List, our client is at the forefront of AI innovation, helping businesses across various sectors make informed, impactful decisions.
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The Day-to-Day
- Own Value Delivery: Lead the value framing and delivery during pre-sales and post-sales, ensuring alignment with data science teams, use case owners, and executives.
- Act as Technical Expert: Conduct and coordinate demos and platform trials, showcasing the business value of the client’s solutions.
- Define Deliverables: Own technical deliverables and customer success during the pre-sales period.
- Identify Opportunities: Look for upselling and cross-selling opportunities within the existing customer base.
- Collaborate Across Teams: Work with Commercial, Product, and Engineering teams to meet customer priorities and achieve pre-sales success.
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The Ideal Candidate
You are a strategic thinker with a solid foundation in AI and pre-sales experience. To excel in this role, you should have:
- Experience: At least 2 years of pre-sales experience in an enterprise analytics company or consulting. Ideally with familiarity with Machine Learning/AI
- Enterprise Deals: Proven experience supporting large enterprise software deals.
- Commercial Acumen: Excellent commercial awareness and the ability to influence senior stakeholders with a creative, problem-solving approach.
- Education: Bachelor’s degree or higher in Computer Science, Engineering, or related fields.