Value Engineer DACH

Were hiring aValue Engineerto guide enterprise customers from first conversation to long-term success. Youll 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.

1. : Value Discovery: Understand the Customers 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.

2. 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.
  
  

3. 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.
  
  

4. 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 dont repeat.
  
  

5. 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.
  
  

6. Represent the Customer Internally

• Bring structured feedback to Product and Engineering to support roadmap efforts in a way that balances signal and noise

• Significant experiencein 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.

• German-speaking

• Demonstrates strong systems thinking paired with tactical execution with sound judgment to choose the right approach at the right time.

• Remote-first setup with flexible hours & tech of your choice
• 30 days vacation extra days for family sick leave
• Competitive salary & stock options for every team member
• Monthly sports & mental health support allowance with Oliva
• Annual learning & development budget
• Monthly team socials & in-person meetups

Founded in 2018 deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack our open-source framework to the deepset AI Platform we give developers and organizations the building blocks to solve complex high impact challenges with AI with full control transparency and sovereignty. Backed by GV and Balderton were growing the worlds production AI community and customer base solving challenges too critical to get wrong.