Value Engineer - DACH

deepset GmbH; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading AI solutions provider is hiring a Value Engineer in Berlin. In this role, you will guide enterprise customers from initial engagement to achieving measurable success by implementing AI solutions. You will conduct needs assessments, design technical solutions, and drive customer value realization. The ideal candidate has a strong background in Sales Engineering, is proficient in Python, and speaks German. The company offers a remote-first setup and competitive benefits including vacation days and stock options.

Leistungen

Remote-first setup with flexible hours

30 days vacation

Competitive salary and stock options

Monthly sports and mental health support allowance

Annual learning and development budget

Monthly team socials

Qualifikationen

• Significant experience in Sales Engineering or Customer Success for enterprise software.
• Practical Python skills for scripting and troubleshooting.
• Strong understanding of modern architectures, including IAM/security.

Aufgaben

• Lead early discovery to uncover customer goals and challenges.
• Translate customer needs into clear technical solutions.
• Track usage, performance, and business outcomes for clients.

Kenntnisse

Sales Engineering

Customer Success

Python scripting

AI/ML workflows

Project leadership

German-speaking

Tools

APIs

Kubernetes

Terraform

SQL

Jobbeschreibung

Overview

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.

Why deepset

At deepset, you’ll work on AI that actually runs in production, powering real systems used by enterprises, governments, and highly regulated organisations. We operate at the sharp end of applied AI, solving hard problems around retrieval-augmented generation, performance, security, privacy, and on-premise and sovereign deployments, where reliability and trust truly matter. Open source is at our core as the team behind Haystack, while we also build enterprise-grade products for some of the most demanding customers in the world. We value craft, ownership, and outcomes over hype: small, highly-competent teams with real autonomy, direct access to decision-makers, and the opportunity to shape both product direction and how we work. We’re a values-led, human organisation that believes in challenge and care in equal measure, and we support flexible, remote-friendly ways of working with a globally minded team that comes together regularly to build, learn, and move fast, together.

What you will do

1. 1. 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.

2. 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. 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. 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 don’t repeat.

5. 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. 6. Represent the Customer Internally

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

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

Nice to have

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

Benefits

• 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

About us

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, we’re growing the world’s production AI community and customer base solving challenges too critical to get wrong.

Value Engineer DACH • Berlin, Berlin, DE