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Core Competencies
Role fitCore 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 complex enterprise AI deployments and technical mentorship. Proficient in building cross-functional relationships and communicating technical concepts effectively to diverse stakeholders.
Highest-signal resume keywords
Sales Engineering ExperiencePeople Management ExperienceAI And Analytics DeploymentsFoundation Models And LLMOpsPython Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Sales EngineeringAI DeploymentsFoundation ModelsLLMOpsRAG ArchitecturesPythonSQLJavaModel TrainingModel Deployment
Soft Skills
Communication SkillsPresentation SkillsMentoringCoachingIntellectual Curiosity
Tools & Technologies
AWS BedrockAzure FoundryGCP Vertex AILangChainLlamaIndexHugging FaceTensorFlowPyTorchScikit-learn
Industry Keywords
AI Native GTM TransformationsChallenger Sales MethodologyTechnical Point Of ContactCross-Functional RelationshipsCustomer Outcomes
Tech Stack
Tools & technologiesAWSAzureCloudGoogle 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 engineering talent
- Coach sales engineers on product value, competitive differentiation, and Challenger Sales methodology
- Act as a player/coach on high-profile customer opportunities
- Serve as technical point of contact for sales leadership and communicate technical risks and opportunities
- Provide career guidance and host regular team check-ins
- Build cross-functional relationships to deliver customer outcomes
- Strategize with sales leadership on 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 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 business, traditional machine learning, and Agentic AI technologies
- Preferred: proficiency in Python, R, SQL, Java, or other programming languages
- Preferred: experience with AWS Bedrock, Azure Foundry, GCP Vertex AI, or other cloud AI/ML services
- Preferred: understanding of LLM fine-tuning, prompt engineering, RAG pipelines, agentic orchestration, feature engineering, model training, and model deployment
- Preferred: knowledge of LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn
- Preferred: experience driving AI Native GTM transformations
- Preferred: excellent communication and presentation skills, with ability to explain complex AI concepts to executive audiences
Benefits
Comp & perks- Stock options
- Medical, dental, and vision plans
- Flexible spending accounts
- Pre-tax commuter benefits
- 401k company match
- Paid vacations and sick leave
- Paid parental leave
- Employer-paid disability coverage
- Additional health and wellbeing perks and benefits
- Eligible roles may receive commission or other variable compensation through Dataiku's incentive compensation program
