Senior Product Manager, Analytics & Experiments

Accountabilities

• Own the product strategy, vision, and roadmap for analytics and experimentation solutions, ensuring alignment with customer needs and business objectives.
• Lead the development of data-driven products including dashboards, reporting capabilities, benchmarks, predictive insights, experimentation platforms, A/B testing infrastructure, and rollout management tools.
• Partner closely with engineering, data science, leadership, and go-to-market teams to define priorities and deliver high-quality product experiences.
• Investigate complex analytics challenges by analyzing customer needs, reviewing data, identifying patterns, and translating insights into actionable product improvements.
• Develop and maintain meaningful metrics, benchmarks, and data frameworks that help users better understand performance and identify growth opportunities.
• Create clear product plans by breaking ambitious visions into practical milestones while balancing impact, scalability, and delivery speed.
• Act as a product owner who understands technical complexity, collaborates effectively with engineering teams, and actively contributes to solving challenging problems.

Requirements

• 5+ years of experience in product management, technical product roles, product engineering, analytics, or a related discipline with experience delivering complex products.
• Strong analytical skills with advanced proficiency in SQL or similar data analysis tools and the ability to independently explore data and develop meaningful metrics.
• Technical understanding of APIs, data models, system architecture, and engineering workflows, with the ability to collaborate effectively with highly technical teams.
• Experience building data-driven products, analytics platforms, experimentation tools, dashboards, or growth-focused solutions.
• Strong product sense with the ability to identify customer problems, prioritize opportunities, and translate insights into scalable solutions.
• Excellent communication skills with the ability to explain complex concepts clearly across teams, time zones, and communication channels.
• Ownership mindset with the ability to operate independently, navigate ambiguity, make informed decisions, and deliver results.
• Passion for data visualization, user experience, experimentation, and building products that create measurable value.

Benefits

• Fully remote and flexible working environment.
• Competitive compensation package including equity opportunities.
• Long-term equity support with an extended exercise window for vested options.
• Flexible time-off policy with 4-5 weeks of recommended annual leave for personal well-being and recharge.
• Workspace setup budget to create an effective home office environment.
• Anual learning and development budget to support continuous growth.
• Opportunity to work on high-impact products used by a global customer base.
• Collaborative remote-first culture with experienced product, engineering, and data professionals.