VoodooSenior Data Product Manager - Growth
Voodoo is hiring a Senior Data Product Manager - Growth in Paris, France. Level rates it ; you can apply on Level.
AI in this role
Lead the product vision and roadmap for machine learning prediction products supporting growth operations in a mobile tech company.
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TeamThe Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
As a Senior Data Product Manager, you will be joining the BI/Prediction Team which is an autonomous squad of around 10 people, delivering best-in-class predictive solutions using Machine Learning algorithms for our growth operations. The team is composed of top-tier data scientists and analysts.
RoleWe are looking for a Senior Data Product Manager who is deeply passionate about machine learning and data-intensive products, leveraging among the largest datasets available in the industry. You will play a crucial role in building ML prediction products for our growth operations while working in direct cooperation with our Prediction Tech Lead.
Drive and own product vision, strategy and roadmap, guide feature prioritization and scope.
Conduct discovery with growth and other stakeholders (e.g., Gaming) to anticipate business needs and detail the specifications for the tech team.
Coordinate new product releases (e.g., prediction for a new app), assess impact and collect users feedback.
Address stakeholders questions/feedback, onboard them on the product, perform analysis, and flag key prediction/analytics issues to tech.
Collaborate with external partners (e.g., networks, MMM) on prediction projects, and identify new opportunities via benchmarking.
Stay updated on privacy topics (e.g., Privacy Sandbox, ATT) through monitoring and testing.
Support the tech team by identifying new organizational tools and processes to improve efficiency.
Act as the main point of contact for top management on deliveries and decisions
Apply analytical thinking to continuously evaluate and improve product performance
Extensive proven experience as a Product Manager in the tech industry
Data analyst or Data Scientist background is a strong plus
Value-driven, data-driven, and open-minded problem solver
Great communicator and a team player, who likes to drive results together.
You are fluent in English and have a French conversational level.
Interest in gaming and mobile apps
Competitive salary upon experience
Swile Lunch vouchers
Gymlib (100% borne by Voodoo)
Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo
Child day care facilities (Les Petits Chaperons rouges)
Wellness activities in our Paris office
Flexible vacation policy
Remote days
How we rate this
Senior Data Product Manager - Growth at Voodoo rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- What's a project where you used Machine learning hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Management, Data Analysis, Predictive Modeling, and Machine learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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