At a Glance
- Tasks: Lead the development of scalable HR data and AI platform capabilities.
- Company: Join Wolt, a tech company transforming local commerce globally.
- Benefits: Exciting challenges, collaborative culture, and opportunities for growth.
- Other info: Diverse and inclusive environment fostering innovation and collaboration.
- Why this job: Shape the future of AI-native 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 in London 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 fast-paced environment that encourages creativity and experimentation, Wolt offers a rewarding career path for those eager to make a significant impact in the world of technology and local commerce.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Manager, People Data AI Platform in London
✨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 you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data engineering and AI. This can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data platforms and AI. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨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 our team.
We think you need these skills to ace Sr. Manager, People Data AI Platform in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to shape AI-native people analytics and work with cutting-edge technology.
Tailor Your CV:Make sure to customise your CV to highlight your experience in Data Engineering and scalable data platform development. We love seeing how your background aligns with our needs, so don’t hold back on those relevant skills!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand. This will help us get a quick grasp of your fit for the role.
Apply Through Our Website:Don’t forget to submit your application 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 key topics during your interview.
✨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
Expect to face complex data problems during the interview. Prepare to talk through your thought process in tackling these challenges, especially in fast-moving environments. Highlight any past experiences where you’ve built flexible AI-native solutions.
✨Communicate Your Vision
As a Senior Manager, you'll need to influence technical direction and platform decisions. Be ready to articulate your vision for AI-native people analytics and how you can contribute to shaping Wolt's future in this space.
