Director, Sales Engineering

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $187k - $234k / year

⏰ Full Time

🔴 Lead

💸 Sales Engineer

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Dataiku

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

💰 $400M Series E on 2021-08

Consulting • Logistics • Healthcare

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.

📋 Description

• 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

• 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

• 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