Director, Sales Engineering

We seek an energetic, optimistic, curious, and empathetic coach and leader to manage a growing team of Enterprise Solution Engineers across the US South, driving the next wave of customer outcomes.

As Director, Sales Engineering in the US South, you will:

• Lead a team of trusted advisors who are responsible for demonstrating the value of Dataiku’s AI and Agent Management platforms.
• Partner with the sales organisation to earn new and retain existing Dataiku clients by championing and delivering AI-enabled business strategies.
• Collaborate with internal stakeholders across product, marketing, sales, customer success, and others to align on AI native go-to-market motions.
• Mentor your team; hire and retain top talent with a strong focus on balancing tech and sales expertise.

You'll be successful in this role if you can:

• Coach sales engineers on Dataiku’s evolving product value, competitive differentiation, and the application of the Challenger Sales methodology.
• Serve as a player/coach to engage on high-profile customer opportunities, providing a strategic lens and elevating delivery.
• Serve as a technical point of contact for sales leadership; communicate technical risks and opportunities faced in sales engagements
• Mentor team members; host regular check-ins, provide career guidance, and hire and scale the team.
• Build strong working relationships with cross-functional teams to ensure alignment on delivering customer outcomes.
• Communicate directly with sales leadership to strategise around adoption and expansion.
• Host enablement sessions focusing on the latest in technology trends.
• Partner with the Sales Engineering leadership to refine key performance indicators for your team.

You could be a good fit if you have:

• At least five years of experience in sales engineering.
• At least two years of people management experience, including a passion for building and hiring teams.
• Experience in complex/large-scale enterprise AI and analytics deployments.
• Deep understanding of the AI landscape, including foundation models, LLMOps, Retrieval-Augmented Generation (RAG) architectures, and autonomous AI agents.
• Experience building and enabling high-performing technical teams in a rapidly evolving AI market.
• Demonstrated intellectual curiosity regarding the intersection of business, traditional machine learning, and Agentic AI technologies.

Other preferred qualifications:

• Proficiency in programming languages (Python, R, SQL, Java, etc.).
• Experience with cloud services and their respective AI/ML services (AWS Bedrock, Azure Foundry, GCP Vertex AI, etc.).
• Understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, agentic orchestration, alongside the traditional machine learning lifecycle (feature engineering, model training, model deployment).
• Knowledge of machine learning and agentic frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn.
• Experience driving AI Native GTM transformations
• Excellent communication and presentation skills, with the ability to demystify complex AI concepts for executive audiences.