🛠 Tech Stack

💼 About This Role

You'll lead a high-impact product analytics team that transforms data into actionable insights guiding product strategy and user experience at scale. You'll manage a team of data scientists while collaborating with product and engineering teams to embed data-informed decision-making. This role offers the chance to design experimentation frameworks and drive product direction.

🎯 What You'll Do

• Lead a team of ~7 data scientists in product analytics.
• Oversee timely production of quantitative analysis for product strategy.
• Partner with product, engineering, and research teams for data-informed decisions.
• Design and improve experimentation frameworks and product health metrics.

📋 Requirements

• Proven experience in experimental design and large-scale user/product data.
• Prior experience managing or leading a data science team in a product environment.
• Strong background in product analytics and experimentation frameworks.
• Experience with large-scale data systems like Hadoop, Hive, Presto, or Spark.

✨ Nice to Have

• Experience with data visualization or experimentation tools such as Superset or GrowthBook.
• Alignment with mission-driven work and open knowledge ecosystems.
• Strong stakeholder communication and mentoring abilities.

🎁 Benefits & Perks

• 🌍 Remote-first working model with global collaboration flexibility.
• 📈 Professional growth with mentorship and continuous learning opportunities.
• 🎯 High-impact leadership role with exposure to large-scale product analytics challenges.
• 🤝 Inclusive, mission-driven work environment focused on open knowledge.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min