- Location
- United States, Remote
- Workplace
- Remote
- Department
- Sales Engineering
- Seniority
- Director
- Source
- Greenhouse
Description
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
We seek an energetic, optimistic, curious, and empathetic coach and leader to manage a growing team of Enterprise Solution Engineers across the US South, driving the next wave of customer outcomes.
As Director, Sales Engineering in the US South, you will:
- Lead a team of trusted advisors who are responsible for demonstrating the value of Dataiku’s AI and Agent Management platforms.
- Partner with the sales organisation to earn new and retain existing Dataiku clients by championing and delivering AI-enabled business strategies.
- Collaborate with internal stakeholders across product, marketing, sales, customer success, and others to align on AI native go-to-market motions.
- Mentor your team; hire and retain top talent with a strong focus on balancing tech and sales expertise.
You'll be successful in this role if you can:
- Coach sales engineers on Dataiku’s evolving product value, competitive differentiation, and the application of the Challenger Sales methodology.
- Serve as a player/coach to engage on high-profile customer opportunities, providing a strategic lens and elevating delivery.
- Serve as a technical point of contact for sales leadership; communicate technical risks and opportunities faced in sales engagements
- Mentor team members; host regular check-ins, provide career guidance, and hire and scale the team.
- Build strong working relationships with cross-functional teams to ensure alignment on delivering customer outcomes.
- Communicate directly with sales leadership to strategise around adoption and expansion.
- Host enablement sessions focusing on the latest in technology trends.
- Partner with the Sales Engineering leadership to refine key performance indicators for your team.
You could be a good fit if you have:
- At least five years of experience in sales engineering.
- At least two years of people management experience, including a passion for 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.
Other preferred qualifications:
- Proficiency in programming languages (Python, R, SQL, Java, etc.).
- Experience with cloud services and their respective AI/ML services (AWS Bedrock, Azure Foundry, GCP Vertex AI, etc.).
- Understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, agentic orchestration, alongside the traditional machine learning lifecycle (feature engineering, model training, model deployment).
- Knowledge of machine learning and agentic frameworks such as LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or Scikit-learn.
- Experience driving AI Native GTM transformations
- Excellent communication and presentation skills, with the ability to demystify complex AI concepts for executive audiences.
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.