Dataiku

Sr Product Manager

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

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.

How you'll make an impact

You will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features.

Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run, you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.

If you're ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we're waiting for you!

What you’ll be doing

Embed with strategic customers to run structured discovery (interviews, async collaboration, or on-site visits) to surface unmet needs before they're obvious to competitors.

Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company's financial goals.

Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy. Collaborate with the Product Marketing team to align and deliver on product positioning messages.

Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.

Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform.)

Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.

At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.

Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.

Participate in the development, maintenance and education on the AI/ML roadmap. Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.

What you will NOT be doing

Managing the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state. You will focus on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.

Product management focused on feature development, you work closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time, you do not dive into technical analysis.

Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.

Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.

What you’ll need to be successful

5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment

3+ years hands-on experience with building AI/ML solutions (e.g. advanced analytics, predictive analytics, GenAI-powered applications)

Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don't need to be a software engineer, but you produce tangible artifacts that make ideas testable.

Ability to engage with business leaders and influence decisions

Proven ability to influence cross-functional teams without formal authority

 

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:

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Figma Human Resources Operations Sales remote

Likely questions

  1. Tell us about work you have done that is close to the Sr Product Manager role.
  2. How would you approach your first 30 days at Dataiku?
  3. Which of Data Analysis, Figma and Human Resources have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Figma and Human Resources.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Sr Product Manager role because I can bring practical experience in Data Analysis, Figma and Human Resources, learn the team quickly, and contribute to the outcomes Dataiku needs from this hire.

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