Sales Engineer - Enterprise

Overview

We're hiring aSales 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.

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.

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 enterprise-ready Haystack Enterprise Platform helps companies turn large language models into real business value. We're remote-first, flexible, and built on a culture of trust and ownership. You'll collaborate with deeply technical teams, tackle meaningful design challenges, and help turn complex AI and infrastructure concepts into products that feel intuitive, powerful, and dependable in real-world enterprise environments.

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