Director, Sales Engineering
Lead a team of Enterprise Solution Engineers to drive customer outcomes with Dataiku's AI and Agent Management platforms.
Posted by employer 5 days ago
First seen on Joblaze 4 days ago
Last verified on the company career page 5 hours ago
Skills & Technologies
What you'll build
- Lead a team of trusted advisors
- Partner with the sales organization
- Collaborate with internal stakeholders
- Mentor your team
- Host enablement sessions
Must have
- At least five years of experience in sales engineering
- At least two years of people management experience
- Experience in complex/large-scale enterprise AI and analytics deployments
Nice to have
- Proficiency in programming languages (Python, R, SQL, Java, etc.)
- Experience with cloud services and their respective AI/ML services
- Knowledge of machine learning and agentic frameworks
AI in the day-to-day
Dataiku connects the full enterprise AI stack, empowering organizations to run AI across multi-vendor environments.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Director, Sales Engineering at Dataiku, the individual will lead a team of Enterprise Solution Engineers, focusing on demonstrating the value of AI and Agent Management platforms to clients. Key skills include a deep understanding of AI technologies, experience in sales engineering, and the ability to mentor and build high-performing teams. This position is suited for someone with significant experience in enterprise AI deployments and a strong background in both technical and sales domains. The role emphasizes collaboration across various internal teams to drive customer success.
Joblaze insights
- Listed 4 days ago — first seen on Joblaze October 29, 2026. Last confirmed on Dataiku's careers page November 2, 2026.
- This exact title is also open at 1 other location at Dataiku: United States, Remote.
- Salary band is above the typical range for Sales/Marketing roles (median ~$142,000).
- Starts above 57% of 58 comparable director sales/marketing roles in United States that list AI/ML we track (median $192,300 across 27 companies). See AI/ML salary trends
- AI/ML appears in 20.7% of 536 comparable director sales/marketing roles in United States; LangChain appears in 0.2% of 536 comparable director sales/marketing roles in United States.
Quick facts
- Is the Director, Sales Engineering role remote?
- Yes — Dataiku lists this as a fully remote position.
- What's the salary range?
- Dataiku lists $206,000–$257,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Director, Sales Engineering role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, AWS Bedrock, Azure Foundry, GCP Vertex AI, Hugging Face, Java.
- What seniority level is this role?
- Dataiku targets director candidates for this position.
- Is this full-time or contract?
- Full-time for this Director, Sales Engineering role at Dataiku.
From the original posting
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.
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.
Standard company text repeated across Dataiku's postings is omitted here.