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Dataiku

Enterprise AI platform for data science

Director, Sales Engineering

Pre-Sales Solution EngineeringUpdated on Nov 10
Full-timeRemote in USA$206k - $257k

About the Job

Requirements

  • At least five years of experience in sales engineering.
  • At least two years of people management experience, including 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 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.

Responsibilities

  • Lead a team of trusted advisors responsible for demonstrating the value of the company's AI and Agent Management platforms.
  • Partner with the sales organization to win new clients and retain existing clients by championing and delivering AI-enabled business strategies.
  • Collaborate with product, marketing, sales, customer success, and other internal stakeholders to align on AI-native go-to-market motions.
  • Coach sales engineers on the product's evolving value, competitive differentiation, and the application of the Challenger Sales methodology.
  • Engage as a player/coach in high-profile customer opportunities, providing a strategic perspective and elevating delivery.
  • Serve as a technical point of contact for sales leadership and communicate technical risks and opportunities in sales engagements.
  • Mentor team members, host regular check-ins, provide career guidance, and hire and scale the team.
  • Build working relationships with cross-functional teams to align on delivering customer outcomes.
  • Communicate with sales leadership to strategize around adoption and expansion.
  • Host enablement sessions focused on current technology trends.
  • Partner with Sales Engineering leadership to refine key performance indicators for the team.

Desired Qualifications

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

About the Company

Dataiku

Enterprise AI platform for data science

Dataiku provides an end-to-end platform for building and deploying AI and analytics applications across an organization. It supports no-code, low-code, and full-code workflows to let business analysts, data scientists, and IT collaborate on data preparation, model development, deployment, and governance. The platform integrates with major cloud providers (AWS, Azure, Google Cloud), data infrastructures, and legacy systems, and includes features like the Dataiku LLM Mesh, a secure gateway to large language models. Dataiku differentiates itself by offering a technologically agnostic environment that emphasizes everyday AI use, cross-team collaboration, and an enterprise-grade lifecycle from data prep to deployment and monitoring. Its goal is to help organizations turn data into sustained, scalable value—enabling widespread AI adoption, improving processes such as fraud detection, churn prevention, and supply chain optimization across hundreds of companies worldwide.

Company size
1,001-5,000
Company stage
Series F
Total funding
$846.4M
Headquarters
New York City, New York
Founded
2013

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