Sr. Manager, People Data AI Platform

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

At Wolt, we create technology that brings joy, simplicity, and earnings to neighborhoods around the world. As part of DoorDash, we’re building the global local commerce platform — and that includes transforming how we use data, AI, and technology internally to support our people and business decisions at scale.

We are now looking for a Senior Manager, HR Data & AI Platform to join our Talent Intelligence organization.

In this role, you’ll help shape the future of AI-native people analytics and talent intelligence platforms. You’ll work at the intersection of Data Engineering, AI/ML infrastructure, analytics, and strategy, helping evolve our ecosystem from traditional analytics products into scalable, flexible, AI-powered experiences and tools.

This is a highly cross-functional and impactful role for someone who enjoys building platforms, solving complex data problems, and operating in a fast-moving environment with significant greenfield opportunities.

• →Lead the strategy and development of scalable HR data and AI platform capabilities
• →Drive improvements across data architecture, infrastructure, and production tooling
• →Partner closely with Analytics, Data Science, Data Engineering, and Scouting teams to build flexible AI-native solutions
• →Support the development of production-grade ML and predictive modeling capabilities
• →Help modernize and simplify existing analytics ecosystems and workflows
• →Influence technical direction and platform decisions across Talent Intelligence initiatives
• →Build scalable infrastructure that enables faster experimentation, research, and insights generation
• →Operate as a strategic partner across both technical and business stakeholders

• Strong background in Data Engineering and scalable data platform development
• Experience working with infrastructure management and/or ML infrastructure
• Proven ability to operate across strategy and hands-on technical execution
• Experience collaborating closely with Analytics, Data Science, and Engineering teams
• Strong understanding of modern data architecture and production environments
• Comfortable navigating ambiguity and building in evolving AI environments
• Excellent stakeholder management and communication skills
• Experience with predictive modeling and production ML systems
• Background in Talent Intelligence, People Analytics, or HR Tech
• Experience modernizing legacy analytics systems into AI-native experiences
• Previous experience building internal platforms or self-serve tooling ecosystems

You’ll join a team that is actively rethinking how AI and data platforms can support decision-making and operations at scale. The space is evolving quickly, and this role offers the opportunity to shape both the technical direction and long-term vision of the organization.

You’ll have the chance to work across a wide range of domains — from infrastructure and data engineering to AI-enabled products and analytics experiences — while partnering with highly collaborative and ambitious teams across Wolt and DoorDash.

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.