Braun Board

Director, Sales Engineering

Dataiku · Remote · US

Base
$206K–$257K
OTE
Not disclosed
Posted
4h ago

Still open · checked 1h agoon Dataiku's careers page

What Dataiku sells

One shared place to build and run AI projects

Companies want to use data and AI, but their work is spread across many different tools, which makes it hard to build, run, and keep track of it all. Dataiku gives teams one shared workspace to build analytics, machine learning, and AI agents, and to watch over how they work. Now the work is easier to share, and the company stays in control of it.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay
Base is listed but not OTE. Ask what the variable is and how many people hit it.
Transparency
Shares 1 of 5: quota, attainment, deal size, territory, sales cycle.
Pipeline
Doesn't say where pipeline comes from. Ask.
Time on market
Brand new.
Company hiring
2 sales roles open, hiring at a steady pace.

Based only on what the posting says. Flags are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  2. 2.

    What's the OTE, and what did the median rep earn last year?

    Base is what you're guaranteed. OTE and the median show the upside.

  3. 3.

    Who's the economic buyer, and who else is in the deal?

    Selling to a CFO and selling to a developer are different jobs.

  4. 4.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  5. 5.

    Where does pipeline come from: inbound, SDRs, or me?

    Tells you how much of your week is prospecting versus selling.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

Josh's top five questions for any sales interview →

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The role

Leads a team of sales engineers across the US South who demonstrate Dataiku's AI platform to enterprise accounts, supporting both new-logo wins and retention and expansion of existing clients.

Enterprise · Mixed

Selling motion

Mixed

Who you're selling to

Buyer:
Not stated in the posting.Ask: “Who's the economic buyer, and who else is in the deal?”
Company size:
Enterprise

Pipeline expectations

Not stated in the posting.

Compensation

$206K–$257K base

What is not disclosed

This posting doesn't tell you:

  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Sales cycle length

The questions above cover the big ones.

Full 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. 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. 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 $206,000-$257,000 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: reasonable-accommodations@dataiku.com 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.
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