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For Companies At a Glance
- Tasks: Guide enterprise customers to success and design impactful AI solutions.
- Company: Join a forward-thinking tech company focused on innovation and customer value.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real difference by helping businesses leverage AI for success.
- Qualifications: 8+ years in Sales Engineering or Customer Success with strong technical skills.
- Other info: Dynamic role with opportunities for career advancement and hands-on experience.
The predicted salary is between 48000 - 72000 £ 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 & 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 - Enterprise employer: deepset Recognized in
Contact Detail:
deepset Recognized in Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Value Engineer - Enterprise
✨Tip Number 1
Get to know the company inside out! Research their values, products, and recent news. This way, when you chat with them, you can show that you're genuinely interested and ready to contribute to their success.
✨Tip Number 2
Practice your storytelling skills! You’ll want to share your experiences in a way that highlights your problem-solving abilities and how you've delivered value in past roles. Make it relatable and engaging!
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 4
Don’t forget to follow up! After interviews, send a thank-you note expressing your appreciation for the opportunity. It shows your enthusiasm and keeps you fresh in their minds as they make decisions.
We think you need these skills to ace Value Engineer - Enterprise
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Value Engineer role. 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 both your CV and cover letter, make sure to highlight your project leadership and communication skills. 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: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes it easier for us to keep track of all the amazing candidates like you!
How to prepare for a job interview at deepset Recognized in
✨Know Your Customer's Needs
Before the interview, research common challenges and goals that enterprise customers face in your industry. Be ready 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
Prepare examples of how you've translated customer needs into effective technical and business solutions in the past. Think about specific demos or proofs of concept you've created that demonstrate value, and be ready to explain your thought process behind them.
✨Highlight Your Value Delivery Experience
Be prepared to talk about how you've guided teams to deliver customer value. Share stories about how you tracked key metrics and ensured projects stayed on track, as well as how you documented processes to empower users.
✨Demonstrate Your Ability to Grow Accounts
Think of instances where you've identified expansion opportunities based on customer usage and pain points. Discuss how you partnered with Sales to build compelling value cases and how you maintained strong relationships to support forecasting.
