Sales Engineer - Public Sector | deepset, makers of Haystack · Teeming.ai
deepset, makers of Haystack
deepset is the creator of the open-source Haystack AI orchestration framework and the Haystack Enterprise Platform. We help organizations build, run, and govern custom AI agents and…
deepset is the creator of the open-source Haystack AI orchestration framework and the Haystack Enterprise Platform. We help organizations build, run, and govern custom AI agents and…
Retrieval-augmented generation, productionizing LLM applications, enterprise AI governance and MLOps for RAG/agents.
Founded
2018
Industry
Artificial Intelligence / Machine Learning
Tech Stack
Haystack (open-source RAG framework)
Haystack Enterprise Platform
Funding Track Record
Series B- August 9, 2023
$30M
Series A- April 28, 2022
$14M
Investor Signal
“Backed by prominent venture firms including Balderton Capital and GV”
Founders
What we do
Join the Team
Sales Engineer - Public Sector
On-SiteBerlin, Berlin, DE
On-Site • Berlin, Berlin, DE
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TL;DR
We’re hiring a
SalesEnginee
r 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.
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.
What You Will Do
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.
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
Dog-friendly Berlin HQ
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 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.
Visit us to learn more: deepset Website | Haystack Website | GitHub | Linkedin | X deepset (Twitter) | X haystack (Twitter)
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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.
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.
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.
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.
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.
Represent the Customer Internally
Bring structured feedback to Product and Engineering to support roadmap efforts in a way that balances signal and noise
