The AI Job Search Engine
Value Engineer - DACH(m/w/x)
Description
As a Value Engineer, you will guide enterprise customers from initial conversations to long-term success, collaborating with Sales to ensure deal quality and translating customer needs into effective solutions. Your role involves building demos, managing AI risks, and driving customer adoption while identifying opportunities for growth.
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Requirements
- •Significant experience 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
- •German-speaking
- •Strong systems thinking paired with tactical execution and sound judgment
Work Experience
approx. 4 - 6 years
Tasks
- •Lead early discovery to uncover goals, challenges, KPIs, and key stakeholders
- •Collaborate with Enterprise Sales on deal quality and expansion opportunities
- •Translate customer needs into clear technical and business solutions
- •Build demos and proofs of concept to demonstrate value
- •Manage AI risk across data readiness, feasibility, evaluation rigor, adoption, and value realization
- •Outline a plan to ensure customer success
- •Drive the plan to achieve first value
- •Identify and execute iterations while maintaining focus on key value metrics
- •Coordinate customer and internal teams to keep projects on track
- •Document architectures, runbooks, and train users for self-sufficiency
- •Track usage, performance, and business outcomes
- •Conduct check-ins and quarterly business reviews to support full solution adoption
- •Resolve escalations and prevent recurring issues
- •Identify expansion opportunities based on usage, pain points, and roadmap alignment
- •Partner with Sales to build value cases and assist in forecasting
- •Provide structured feedback to Product and Engineering to inform roadmap efforts
Tools & Technologies
Languages
German – Native
Benefits
More Vacation Days
- •30 days vacation
Family Support
- •Extra days for family sick leave
Additional Allowances
- •Monthly sports allowance
Mental Health Support
- •Mental health support
Learning & Development
- •Annual learning budget
Team Events
- •Monthly team socials
- •In-person meetups
- ParloaFull-timeWith HomeofficeSeniorBerlin, München
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Value Engineer - DACH(m/w/x)
The AI Job Search Engine
Description
As a Value Engineer, you will guide enterprise customers from initial conversations to long-term success, collaborating with Sales to ensure deal quality and translating customer needs into effective solutions. Your role involves building demos, managing AI risks, and driving customer adoption while identifying opportunities for growth.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Significant experience 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
- •German-speaking
- •Strong systems thinking paired with tactical execution and sound judgment
Work Experience
approx. 4 - 6 years
Tasks
- •Lead early discovery to uncover goals, challenges, KPIs, and key stakeholders
- •Collaborate with Enterprise Sales on deal quality and expansion opportunities
- •Translate customer needs into clear technical and business solutions
- •Build demos and proofs of concept to demonstrate value
- •Manage AI risk across data readiness, feasibility, evaluation rigor, adoption, and value realization
- •Outline a plan to ensure customer success
- •Drive the plan to achieve first value
- •Identify and execute iterations while maintaining focus on key value metrics
- •Coordinate customer and internal teams to keep projects on track
- •Document architectures, runbooks, and train users for self-sufficiency
- •Track usage, performance, and business outcomes
- •Conduct check-ins and quarterly business reviews to support full solution adoption
- •Resolve escalations and prevent recurring issues
- •Identify expansion opportunities based on usage, pain points, and roadmap alignment
- •Partner with Sales to build value cases and assist in forecasting
- •Provide structured feedback to Product and Engineering to inform roadmap efforts
Tools & Technologies
Languages
German – Native
Benefits
More Vacation Days
- •30 days vacation
Family Support
- •Extra days for family sick leave
Additional Allowances
- •Monthly sports allowance
Mental Health Support
- •Mental health support
Learning & Development
- •Annual learning budget
Team Events
- •Monthly team socials
- •In-person meetups
About the Company
deepset GmbH
Industry
IT
Description
The company is an AI startup that empowers developers to build applications using natural language as the interface to data.
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