Dataiku logo

Director, Sales Engineering

Dataiku

Remote · USJob$187–234K/yrPosted 2 days agoStill listed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$187–234K/yr
Location
Remote · US
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Dataiku seeks a Director of Sales Engineering to lead a growing team of Enterprise Solution Engineers across the US West. The role partners with sales and cross-functional teams to drive customer outcomes, adoption, and expansion through AI-enabled business strategies. The director coaches and develops the team, engages in high-profile customer opportunities, and helps align go-to-market efforts and performance measures.

Skills & qualifications

RequiredNice to have

Skills

DataikuROrchestrationAnalyticsTaxesMicrosoft AzureMarketing StrategyJavaEquityGoogle Cloud PlatformTensorFlowArtificial IntelligenceCloud ServicesSQLPyTorchScikit-LearnAmazon Web ServicesSales EngineeringMachine LearningLinkedInFeature ExtractionTeam LeadershipSales CompensationPythonPeople ManagementEnterprise AI DeploymentsEnterprise Analytics DeploymentsFoundation ModelsLLMOpsRAG ArchitecturesAutonomous AI AgentsTechnical Team BuildingTraditional Machine LearningAgentic AIAWS BedrockAzure FoundryGCP Vertex AILLM Fine-TuningPrompt EngineeringRAG PipelinesAgentic OrchestrationFeature EngineeringModel TrainingModel DeploymentLangChainLlamaIndexHugging FaceAI-Native GTM TransformationsCommunicationPresentationDemystifying AI Concepts

Qualifications

5+ Years Sales Engineering2+ Years People Management

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job 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 West, driving the next wave of customer outcomes.

As Director, Sales Engineering in the US West, 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.

Compensation and Benefits

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.

US only national base pay ranges $187,000—$234,000 USD

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

How this job compares

Set against the 1,204 open Sales Engineering jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This posting$187–234K/yr
  • US median$145–210K/yr836 salary ranges

This range's midpoint, $211K, is 19% above the US median midpoint ($178K) — in the middle half of Sales Engineering salary ranges across the US.

Openings
Olive Jobs lists 1,204 open Sales Engineering jobs across the US. 25% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Experience
This posting asks for at least 5 years of experience; Sales Engineering postings that state a minimum ask for 5 years at the median (868 postings).
Education
234 of the 1,204 open Sales Engineering jobs (19%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.