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For Companies At a Glance
- Tasks: Guide enterprise customers to success with AI solutions and drive value delivery.
- Company: Join a forward-thinking tech company focused on innovation and customer success.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by helping businesses leverage AI for their success.
- Qualifications: 8+ years in Sales Engineering or Customer Success, with strong technical skills.
- Other info: Dynamic role with opportunities for career advancement and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
We're hiring a Value Engineer to guide enterprise customers from first conversation to long-term success. You'll help Sales win the right deals, design solutions that work in the real world, ensure customers reach value quickly, and spot opportunities to grow the relationship. This role is a prescriptive, opinionated authority on which AI use cases make both business and technical sense by developing an account thesis and tying back to outcomes.
What You'll Do
- Value Discovery: Understand the Customer's Needs
Lead early discovery to uncover goals, challenges, KPIs, and key stakeholders. Sparring partner with Enterprise Sales on overall deal quality and expansion opportunity, focused on winning as a team. - Solution Design: Creating the Right Solution
Translate customer needs into clear technical and business solutions. Build demos/POCs that prove value. Ownership of AI risk management across data readiness, feasibility, evaluation rigor, adoption and value realisation. Outline a plan that sets the customer up to win. - Value Delivery: Help guide to delivery team to customer value creation
Drive the plan to 'first value.' Identify and execute on iterations without losing sight of key value metrics. Coordinate customer and internal teams so projects stay on track. Document architectures, runbooks, and train users so they can be self-sufficient. - Value Realisation: Measure Impact & Ensure Success
Track usage, performance, and business outcomes. Run check-ins/QBRs and help customers adopt the solution fully. Resolve escalations and ensure issues don't repeat. - Value Expansion: Grow the Account
Spot expansion opportunities based on usage, pain points, and roadmap fit. Partner with Sales to build value cases and support forecasting. - Represent the Customer Internally
Bring structured feedback to Product and Engineering to support roadmap efforts in a way that balances signal and noise. Maintain accurate CRM and customer plans.
What You'll Bring
- 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 (fine-tuning, data prep, model evaluation).
- Strong understanding of modern architectures (APIs, integrations, IAM/security; bonus for Kubernetes/Terraform/SSO/VPC).
- Ability to get hands-on with data, SQL, and light integrations.
- Strong project leadership and communication, including executive-level storytelling.
- Commercial awareness and a focus on measurable outcomes.
- Demonstrates strong systems thinking paired with tactical execution, with sound judgment to choose the right approach at the right time.
Value Engineer - UK in London employer: deepset Recognized in
Contact Detail:
deepset Recognized in Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Value Engineer - UK in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, attend events, and connect on LinkedIn. The more you engage with others, the better your chances of hearing about opportunities before they even hit the job boards.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to the Value Engineer role. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or case studies. If you've worked on relevant AI/ML projects, create a portfolio that highlights your problem-solving abilities and how you’ve delivered value in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Value Engineer - UK in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Value Engineer. Highlight your experience in Sales Engineering, Consulting, or Customer Success, and don’t forget to showcase your practical Python skills and understanding of AI/ML workflows.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for this role. Share specific examples of how you've helped customers achieve value and how you can bring that expertise to StudySmarter.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to translate customer needs into effective solutions. We want to see how you’ve tackled challenges in the past and how you plan to help our customers succeed.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it makes it easier for us to keep track of your details!
How to prepare for a job interview at deepset Recognized in
✨Know Your Customer's Needs
Before the interview, research common challenges and goals faced by enterprise customers in your industry. Be prepared to discuss how you would lead value discovery sessions to uncover these needs and how you can act as a sparring partner for Sales.
✨Showcase Your Solution Design Skills
Bring examples of past projects where you translated customer needs into effective solutions. Highlight any demos or proofs of concept you've created that demonstrate value, and be ready to discuss how you manage AI risk across various stages of implementation.
✨Emphasise Value Delivery and Realisation
Prepare to talk about your experience in guiding teams to deliver customer value quickly. Discuss how you track performance metrics and ensure successful adoption of solutions, including any strategies you've used to resolve escalations.
✨Demonstrate Your Project Leadership
Be ready to share examples of your project leadership and communication skills, especially in executive-level storytelling. Show how you've maintained structured feedback loops with internal teams to support product development and customer success.
