Hi there! 

Are you passionate about unlocking AI's potential while ensuring it remains ethical and impactful? At Deeploy, we’re tackling one of AI’s biggest challenges: helping organizations build powerful, trustworthy, and responsible AI systems. As a Sales Engineer, you’ll be at the forefront of our mission.

About the Role

You’ll be the bridge between our innovative product and the real-world challenges our potential customers face. Your role will focus on building strong relationships, delivering impactful solutions, and driving customer success through the responsible use of AI.

Being part of our Sales Team, you’ll work closely with (potential) clients to understand their needs, align our platform with their strategy, and showcase its value through demos and proof-of-value projects. Collaborating with our product, you’ll play a key role in shaping product development and guiding organizations toward responsible AI adoption.

This is more than just a technical role—it’s an opportunity to shape the future of AI and make a tangible difference in how organizations innovate, operate, and use AI responsibly.

Key Responsibilities

• Understand and Translate Customer Needs: Collaborate with (potential) customers to uncover their strategic priorities, challenges, and problem statements, translating them into tailored solutions using Deeploy. Guide potential customers toward closing sales deals by working closely with their teams, including domain experts, product managers, engineers, and data scientists.

• Showcase Value Efficiently: Source new leads, deliver impactful demos, build strong business cases, and design proof-of-value projects that demonstrate Deeploy's value in a short timeframe.

• Shape Product Direction: Work with customer and product teams to share insights from customer challenges, ensuring these are translated into product improvements that align with Deeploy's roadmap. Provide structured feedback to the product team to drive continuous improvement.

• Scale Expertise Across Teams: Develop reusable content, best practices, and tools to scale your expertise, empowering the broader sales engineering function and improving efficiency.

Must-Haves

• Commercial Experience: You bring at least 3 years of experience in a commercial role, offering data infrastructure products to corporate customers.

• Technical Understanding: You have a strong understanding of data infrastructure and AI, enabling you to collaborate effectively with technical stakeholders like engineers and data scientists.

• Industry Expertise: You have domain expertise and a professional network in European regulated industries, such as financial services (e.g., banking, insurance) or public markets (e.g., government, semi-government, healthcare).

• Language Proficiency: You are fluent in both English and Dutch.

Nice-to-Haves

• Knowledge of Responsible AI: Familiarity with responsible AI principles, including transparency, explainability, and compliance frameworks.

• Start-Up Experience: Hands-on experience working in start-ups or fast-paced, dynamic environments, with the ability to adapt and thrive in evolving scenarios.

• Problem-Solving and Communication: Strong analytical skills to tackle complex challenges, paired with excellent presentation abilities to communicate solutions effectively to diverse audiences.

Why Join Deeploy?

Shape the Future of AI: Work at the forefront of AI governance, transparency, and compliance, helping organizations innovate responsibly and create meaningful impact.

Collaborative Culture: Be part of a team that values openness, inclusivity, and collaboration. At Deeploy, every voice matters, and diverse perspectives drive our innovation.

Growth Opportunities: Access opportunities to learn, develop, and advance your career in a fast-growing company dedicated to transforming the AI landscape.

Competitive Benefits: Enjoy a competitive salary, stock options, and a comprehensive benefits package, including a pension plan.

Flexibility and Balance: Thrive in a flexible, hybrid work environment that supports your personal and professional well-being.

Our Hiring Process

We value efficiency and transparency. Here’s what to expect:

1. Application: Share your LinkedIn/CV and any personal projects you're proud of.

2. Introductory Call: A 20-minute chat to introduce our team and learn more about you.

3. Personal & Team Fit: A 60-minute chat with 2 team members you would work with in the future

4. Case Study: Prepare a case (timeboxed to 3 hours) and present it in a follow-up meeting with two team members.

5. Offer: If we’re a fit, we’ll extend an offer and welcome you aboard!

How to Apply

If this role excites you, we’d love to hear from you. Apply now and take the next step in shaping the future of AI responsibly!

Got questions? Reach out anytime at [email protected].