Value Engineer (AI)

TL;DR

Value Engineer (AI): Guiding enterprise customers from initial conversation to long-term success with AI solutions, with an accent on designing real-world solutions that provide business and technical value. Focus on managing AI risk, coordinating delivery, measuring impact, and identifying expansion opportunities.

Location: Must be based in the UK

What you will do

• Lead early discovery to understand customer goals, challenges, and KPIs.
• Translate customer needs into clear technical and business solutions, building demos and POCs.
• Drive the plan to achieve "first value" and coordinate internal and customer teams to keep projects on track.
• Track usage, performance, and business outcomes, running check-ins and resolving escalations.
• Identify expansion opportunities based on usage, pain points, and roadmap fit, partnering with Sales.
• Provide structured feedback to Product and Engineering and maintain accurate CRM and customer plans.

Requirements

• 8+ years in Sales Engineering, Consulting/Implementation, or Customer Success for enterprise software.
• Practical Python skills for scripting and troubleshooting.
• Experience with AI/ML workflows, including fine-tuning, data prep, and model evaluation.
• Strong understanding of modern architectures (APIs, integrations, IAM/security).
• Ability to get hands-on with data, SQL, and light integrations.
• Strong project leadership, executive-level communication, and commercial awareness with a focus on measurable outcomes.

Nice to have

• Experience with Kubernetes, Terraform, SSO, or VPC.