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- Tasks: Guide enterprise customers to success through value discovery, solution design, and account growth.
- Company: Dynamic tech company with a remote-first culture and a focus on innovation.
- Benefits: Flexible hours, 30 days vacation, competitive salary, and monthly team socials.
- Other info: Join a dog-friendly Berlin HQ with excellent career development opportunities.
- Why this job: Make a real impact by helping businesses leverage AI for success.
- Qualifications: Experience in Sales Engineering, strong Python skills, and a passion for technology.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We’re hiring a Sales 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.
What you will do:
- 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.
Requirements:
- Software engineering background and significant experience in Sales Engineering, Consulting/Implementation.
- 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 allowance.
- Annual learning & development budget.
- Monthly team socials & in‑person meetups.
- Dog‑friendly Berlin HQ.
Sales Engineer - Enterprise employer: STARTmunich e.V
Contact Detail:
STARTmunich e.V Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Engineer - Enterprise
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. Don’t be shy; ask for informational interviews to learn more about their experiences and share your passion for the Sales Engineer role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to value discovery and solution design. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, focus on how you’ve helped customers achieve value and how you’ve tackled challenges in previous roles. This will demonstrate your fit for the Sales Engineer position.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Sales Engineer - Enterprise
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Sales Engineer role. Highlight your experience in software engineering and any relevant AI/ML workflows. We want to see how your skills align with our needs!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can demonstrate their ability to design solutions that deliver real value to customers.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experiences and achievements. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at STARTmunich e.V
✨Know Your Customer Inside Out
Before the interview, dive deep into understanding the potential customers you'll be working with. Research their industry, challenges, and goals. This will help you demonstrate your ability to lead value discovery and show that you can be a sparring partner for the sales team.
✨Showcase Your Solution Design Skills
Prepare to discuss how you would translate customer needs into effective technical solutions. Bring examples of past projects where you built demos or proofs of concept that proved value. This will highlight your capability in solution design and your hands-on experience with AI/ML workflows.
✨Emphasise Value Delivery and Realisation
Be ready to talk about how you ensure customers achieve their first value quickly. Share specific strategies you've used to coordinate teams and keep projects on track. Highlight your experience in tracking performance and running check-ins to ensure ongoing success.
✨Demonstrate Your Systems Thinking
During the interview, illustrate your ability to think strategically while executing tactically. Discuss how you've balanced immediate project needs with long-term goals, especially in terms of spotting expansion opportunities and providing structured feedback to internal teams.