Quick Summary
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,
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'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.
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.
Responsibilities
~1 min read- →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.
- 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.
What We Offer
~3 min readLocation & Eligibility
About this job
- Pay per year
- ≈ $478,400–$540,800 a year
- 655% above the $67,500 median for Other jobs on Jobera (121,957 salaries).
- Who can apply
- United States
- Posted
- 1 day ago
Listing Details
- Posted
- October 20, 2026
- First seen
- October 20, 2026
- Last seen
- October 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 80%
- Scored at
- October 21, 2026
Signal breakdown
Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.
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