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Value Engineer - DACH(m/w/x)
Translating customer needs into technical solutions and building PoCs for an AI platform at an AI startup. Experience with AI/ML workflows (fine-tuning, data prep, model evaluation) required. 30 days vacation, monthly sports allowance.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – fließend
Tools & Technologien
- Python
- AI/ML workflows
- SQL
- Kubernetes
- Terraform
- SSO
- VPC
Benefits
Mehr Urlaubstage
- 30 days vacation
Familienfreundlichkeit
- Extra days for family sick leave
Sonstige Zulagen
- Monthly sports allowance
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Annual learning budget
Team Events & Ausflüge
- Monthly team socials
- In-person meetups
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- ParloaVollzeitmit HomeofficeSeniorBerlin, München
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Value Engineer - DACH(m/w/x)
Translating customer needs into technical solutions and building PoCs for an AI platform at an AI startup. Experience with AI/ML workflows (fine-tuning, data prep, model evaluation) required. 30 days vacation, monthly sports allowance.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – fließend
Tools & Technologien
- Python
- AI/ML workflows
- SQL
- Kubernetes
- Terraform
- SSO
- VPC
Benefits
Mehr Urlaubstage
- 30 days vacation
Familienfreundlichkeit
- Extra days for family sick leave
Sonstige Zulagen
- Monthly sports allowance
Mentale Gesundheitsförderung
- Mental health support
Weiterbildungsangebote
- Annual learning budget
Team Events & Ausflüge
- Monthly team socials
- In-person meetups
Über das Unternehmen
deepset GmbH
Branche
IT
Beschreibung
The company is an AI startup that empowers developers to build applications using natural language as the interface to data.
Noch nicht perfekt?
- Parloa
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