Dataiku logo - Director, Sales Engineering

    Director, Sales Engineering

    Dataiku
    Remote
    Sales
    Remote
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    About This Role

    Dataiku is looking for 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.

    What You'll Be Doing

    Leading a team of trusted advisors responsible for demonstrating the value of Dataiku's AI and Agent Management platforms.

    Partnering with the sales organization to win new clients and retain existing ones by championing and delivering AI-enabled business strategies.

    Collaborating with internal stakeholders across product, marketing, sales, customer success, and other teams to align on AI-native go-to-market motions.

    Mentoring the team, and hiring and retaining top talent with a strong balance of technical and sales expertise.

    Coaching sales engineers on Dataiku's evolving product value, competitive differentiation, and application of the Challenger Sales methodology.

    Acting as a player/coach on high-profile customer opportunities, bringing strategic perspective and elevating delivery.

    Serving as a technical point of contact for sales leadership, communicating technical risks and opportunities in sales engagements.

    Hosting regular check-ins with team members, providing career guidance, and helping hire and scale the team.

    Building strong working relationships with cross-functional teams to ensure alignment on customer outcomes.

    Communicating directly with sales leadership to strategize around adoption and expansion.

    Hosting enablement sessions on the latest technology trends.

    Partnering with Sales Engineering leadership to refine key performance indicators for the team.

    What We're Looking For

    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 with 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 about the intersection of business, traditional machine learning, and Agentic AI technologies.

    Bonus Points

    Proficiency in programming languages such as Python, R, SQL, or Java.

    Experience with cloud services and their AI/ML offerings, such as AWS Bedrock, Azure Foundry, or GCP Vertex AI.

    Understanding of the modern AI lifecycle, including LLM fine-tuning, prompt engineering, RAG pipelines, and 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 go-to-market transformations.

    Excellent communication and presentation skills, with the ability to demystify complex AI concepts for executive audiences.

    Why Join Us

    Final compensation is determined during the interview process based on factors including geographic location, internal equity, education, skill set, experience, and training. Eligible roles may also receive commission or other variable compensation through Dataiku's incentive compensation program.

    Dataiku offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacation and sick leave, paid parental leave, employer-paid disability coverage, and additional health and wellbeing perks.

    US national base pay range: $187,000–$234,000 USD.

    About Dataiku

    Dataiku is pioneering the future of decentralized data science within the blockchain ecosystem, empowering organizations across Europe, Africa, and Western Asia to unlock the immense potential of their digital assets. We're building cutting-edge platforms and tools that integrate seamlessly with Web3 technologies, enabling secure, transparent, and efficient data analytics for a new generation of applications. From enhancing smart contract auditing with advanced AI to developing robust data governance solutions for DAOs, Dataiku is at the forefront of bringing enterprise-grade data intelligence to the world of crypto. We believe that robust data capabilities are essential for the widespread adoption and success of blockchain, and our work directly contributes to this critical evolution. Our culture at Dataiku is defined by innovation, collaboration, and a deep-seated passion for pushing technological boundaries. We champion an environment where curiosity is celebrated, and diverse perspectives are valued, fostering a team of thinkers and builders dedicated to solving complex challenges in the blockchain space. We offer a dynamic, fast-paced setting where continuous learning is not just encouraged, but an integral part of our growth. We are a remote-friendly company with a strong presence across Europe, Africa, and Western Asia, embracing a global talent pool committed to shaping the future of decentralized finance and beyond. Join Dataiku and become a key architect in the decentralized data revolution. If you're a skilled professional eager to apply your expertise in data science, engineering, or product development to impactful blockchain projects, you'll find an unparalleled opportunity to innovate and lead. Contribute to solutions that enhance security, drive efficiency, and create new possibilities for industries embracing Web3. At Dataiku, your work will directly influence the development of a more open, transparent, and data-driven digital world.

    Ready to Apply?

    To submit your application for this position, please visit Dataiku's official website and follow their application process.

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