Global Total Rewards Lead

Location: United States, Remote

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About the Position

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. We connect 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.

We're ~1,300 builders across 18 countries. We share context openly, including how pay works. We work across functions and borders, question defaults, and own our outcomes. Our People team runs on Dataiku too, with AI agents and automated workflows.

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About the Role

Location: US, East Coast remote · Reports to: VP, People Foundations

You'll own Dataiku's global compensation, equity, and benefits strategy. The goal: programs that win in AI talent markets, are fair inside the company, scale across 18 countries, and stay financially sustainable.

Our People function is lean and decentralized. You'll work directly with executives, Finance, Legal, and the Compensation Committee, lead a small Total Rewards team, and have real autonomy. This is a builder role: you'll challenge how things are done today and use AI to reinvent how rewards work.

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Responsibilities

• Set the strategy. Own and evolve our global compensation philosophy, balancing market competitiveness, internal equity, and financial discipline.
• Lead pay transparency. Define our global approach and get the company ready for new rules, including the EU Pay Transparency Directive.
• Build the foundations. Evolve our job architecture, leveling, and salary ranges, with rigor but without bureaucracy, and give managers simple tools to make good pay decisions.
• Partner on equity. Design grant guidelines, new-hire and refresh awards, and partner with Finance and Legal on modeling, dilution, and international tax.
• Advise the top. Bring clear recommendations to executives and present equity and executive comp to the Compensation Committee and Board.
• Run the cycles. Lead merit, promotion, and incentive cycles from modeling to execution, with scalable governance and AI-enabled workflows.
• Own global benefits. Set strategy across entities and EOR countries, and lead the benefits team that runs day-to-day operations.

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Requirements

• Extensive Total Rewards or compensation experience (typically 10+ years), ideally in a global, high-growth tech or enterprise software company.
• Deep expertise in global comp strategy: salary structures, benchmarking, incentive design, and job architecture.
• Strong equity experience across countries; late-stage private company experience is a big plus.
• Hands-on knowledge of pay transparency in Europe and North America.
• A track record of building or transforming rewards programs, not just running them.
• Experience leading teams and influencing senior executives in lean, fast-moving environments.
• Strong analytical and modeling skills, and real curiosity for AI and automation (Workday a plus).

Bonus points: knowledge of UK and French benefits and pension programs.

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We Offer

• Real impact: shape Total Rewards for a global AI company helping the world's largest enterprises make AI work.
• Ownership: the autonomy to build, with direct access to executive decision-makers.
• Growth: help reinvent how People programs are delivered, with AI-powered workflows.

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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.

Base Pay Range: $230,000 - $260,000 USD

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Why Join Us

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.

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Equal Opportunity Employer

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].

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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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