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Dataiku

Director, Sales Engineering

Dataiku

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

Posted 10/27/2026full-timeRemote • United StatesLead💰 $187,000 - $234,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading sales engineering teams and driving AI-enabled business strategies, with a strong focus on building high-performing technical teams and delivering customer outcomes through advanced AI technologies.

Highest-signal resume keywords
Sales Engineering ExperiencePeople Management ExperienceAI Landscape UnderstandingProgramming Proficiency in Python, R, SQL, JavaCloud Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI and Analytics DeploymentsLLMOpsRetrieval-Augmented GenerationFeature EngineeringModel TrainingModel DeploymentPrompt EngineeringAgentic OrchestrationMachine Learning FrameworksAI Native GTM Transformations
Soft Skills
Excellent Communication SkillsPresentation SkillsMentoring SkillsCoaching Skills
Tools & Technologies
AWS BedrockAzure FoundryGCP Vertex AILangChainLlamaIndexHugging FaceTensorFlowPyTorchScikit-learn
Industry Keywords
AIAgent ManagementSales LeadershipCustomer SuccessCross-Functional Collaboration

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Lead a team of trusted advisors demonstrating the value of Dataiku’s AI and Agent Management platforms
  • Partner with sales to win new and retain existing Dataiku clients through AI-enabled business strategies
  • Collaborate with product, marketing, sales, customer success, and other stakeholders on AI-native go-to-market motions
  • Mentor, hire, and retain top technical and sales talent
  • Coach sales engineers on product value, competitive differentiation, and Challenger Sales methodology
  • Engage as a player/coach on high-profile customer opportunities
  • Serve as technical contact for sales leadership and communicate technical risks and opportunities
  • Conduct check-ins, provide career guidance, and scale the team
  • Build cross-functional relationships to deliver customer outcomes
  • Strategize with sales leadership around adoption and expansion
  • Host enablement sessions on technology trends
  • Partner with Sales Engineering leadership to refine team KPIs

Requirements

What you’ll need
  • 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 (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
  • Proficiency in programming languages such as Python, R, SQL, and Java (preferred)
  • Experience with cloud services and AI/ML services 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 driving AI Native GTM transformations (preferred)
  • Excellent communication and presentation skills for explaining complex AI concepts to executive audiences (preferred)

Benefits

Comp & perks
  • 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