At a Glance
- Tasks: Lead the development of AI-driven HR data platforms and improve analytics capabilities.
- Company: Join Wolt, a dynamic tech company transforming local commerce globally.
- Benefits: Exciting challenges, collaborative culture, and opportunities for personal growth.
- Other info: Be part of a diverse team committed to innovation and inclusion.
- Why this job: Shape the future of AI in people analytics and make a real impact.
- Qualifications: Strong background in Data Engineering and experience with ML infrastructure.
The predicted salary is between 80000 - 100000 € per year.
About Wolt
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.
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.
What you’ll be doing
- 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
Our humble expectations
- 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
Why you’ll love it here
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.
Our Commitment to Diversity and Inclusion
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.
Sr. Manager, People Data AI Platform employer: Wolt
At Wolt, we pride ourselves on being an innovative employer that fosters a dynamic and inclusive work culture. As a Senior Manager in our People Data AI Platform team, you'll have the unique opportunity to shape the future of AI-driven analytics while collaborating with talented professionals across various domains. With a commitment to employee growth and a focus on diversity, Wolt offers a stimulating environment where you can thrive and make a meaningful impact in the fast-evolving world of local commerce.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Manager, People Data AI Platform
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data engineering and AI. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by researching Wolt and its culture. Understand their mission and values, and think about how your experience aligns with their goals. It’ll help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Sr. Manager, People Data AI Platform
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data and AI shine through. We love seeing candidates who are genuinely excited about transforming analytics and building scalable platforms. Share your experiences that highlight your passion!
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing relevant projects or achievements.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your key experiences and skills effectively. This will help us understand your fit for the role quickly!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Wolt
✨Know Your Data Inside Out
Make sure you have a solid understanding of data engineering principles and scalable data platforms. Brush up on your knowledge of modern data architecture and production environments, as these will be crucial in your discussions.
✨Showcase Your Collaborative Spirit
Wolt values teamwork, so be prepared to discuss your experience working with cross-functional teams like Analytics, Data Science, and Engineering. Share specific examples of how you've successfully partnered with others to drive projects forward.
✨Demonstrate Your Problem-Solving Skills
Be ready to tackle complex data problems during the interview. Think of scenarios where you've had to navigate ambiguity or build solutions in evolving environments, and explain your thought process clearly.
✨Communicate Your Vision
As a Senior Manager, you'll need to influence technical direction and platform decisions. Prepare to articulate your vision for AI-native people analytics and how you can contribute to shaping Wolt's future in this space.
