Director, Sales Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead a team of trusted advisors to showcase the value of Dataiku’s AI and Agent Management platforms.

• Collaborate with sales to acquire new clients and maintain existing relationships through AI-driven business strategies.

• Work together with product, marketing, sales, customer success, and other stakeholders on AI-focused go-to-market strategies.

• Mentor, recruit, and retain top-tier technical and sales professionals.

• Coach sales engineers on product value, competitive advantages, and the Challenger Sales methodology.

• Actively participate as a player/coach on significant customer opportunities.

• Serve as the technical liaison for sales leadership, conveying technical risks and opportunities.

• Conduct regular check-ins, provide career development guidance, and scale the team effectively.

• Build cross-functional relationships to achieve customer success.

• Collaborate with sales leadership to strategize on adoption and expansion initiatives.

• Facilitate enablement sessions focused on emerging technology trends.

• Partner with Sales Engineering leadership to refine team KPIs.

⛳️ Requirements

• Minimum of five years of experience in sales engineering.

• At least two years of experience in people management, including team building and hiring.

• Experience with complex or large-scale enterprise AI and analytics implementations.

• In-depth knowledge of the AI landscape, including foundational models, LLMOps, Retrieval-Augmented Generation (RAG) architectures, and autonomous AI agents.

• Proven experience in building and enabling high-performing technical teams in a fast-paced AI market.

• Demonstrated intellectual curiosity at the intersection of business, traditional machine learning, and Agentic AI technologies.

• Proficiency in programming languages such as Python, R, SQL, and Java (preferred).

• Familiarity with cloud services and AI/ML offerings such as AWS Bedrock, Azure Foundry, and GCP Vertex AI (preferred).

• Understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, agentic orchestration, feature engineering, model training, and model deployment (preferred).

• Knowledge of machine learning and agentic frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, and Scikit-learn (preferred).

• Experience in driving AI Native GTM transformations (preferred).

• Strong communication and presentation skills for conveying complex AI concepts to executive audiences (preferred).

🏝️ Benefits

• Stock options.

• Medical plans.

• Dental plans.

• Vision plans.

• Flexible spending accounts.

• Pre-tax commuter benefits.

• 401k company match.

• Paid vacations.

• Sick leave.

• Paid parental leave.

• Employer-paid disability coverage.

• Additional health and wellbeing perks and benefits.

• Commission or other variable compensation through Dataiku's incentive compensation program for eligible roles.