Sales Engineer - Public Sector

deepset GmbH; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading AI solutions provider based in Berlin is looking for a Sales Engineer to guide public sector customers from their first conversation to long-term success. This role requires expertise in Sales Engineering and AI workflows, along with fluent German and strong communication skills. You will design effective solutions, drive value delivery, and help grow customer relationships. The company offers a remote-first setup, competitive salary, and a collaborative work environment.

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 and in-person meetups

Dog-friendly Berlin HQ

Qualifikationen

• Fluent German language skills required.
• Experience in Sales Engineering or Customer Success for enterprise software essential.
• Practical Python skills for scripting and troubleshooting needed.

Aufgaben

• Lead discovery to uncover customer goals and challenges.
• Translate customer needs into technical and business solutions.
• Drive the plan to ensure first value and performance tracking.

Kenntnisse

Fluent German language skills

Significant experience in Sales Engineering or Consulting

Practical Python skills

Experience with AI/ML workflows

Strong understanding of modern architectures

Ability to work with data, SQL

Strong project leadership

Commercial awareness

Jobbeschreibung

TL;DR

We’re hiring a SalesEngineerto guide public sector 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.

Requirements

• Fluent German language skills

• 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.

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
• Dog‑friendly Berlin HQ

Why deepset

At deepset, we’re on a mission to make custom AI solutions accessible to every organization. With Haystack, thousands of developers build advanced LLM applications every day, while our Haystack Enterprise Platform helps companies turn large language models into business value. We’re remote‑first, flexible, and built on a culture of trust and ownership. You’ll collaborate with top‑tier tech talent, tackle meaningful challenges, and help transform complex AI into solutions that are simple, powerful, and ready for the real world.

Nice to have

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

What you will do

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. 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 don’t 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