We’re hiring a Sales Engineer to 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.
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.
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.
Spot expansion opportunities based on usage, pain points, and roadmap fit.
Partner with Sales to build value cases and support forecasting.
Bring structured feedback to Product and Engineering to support roadmap efforts in a way that balances signal and noise
Fluent German language skills
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.
Demonstrates strong systems thinking paired with tactical execution, with sound judgment to choose the right approach at the right time.
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 Haystack Enterprise 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.
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