Senior Product Manager, Notifications

Accountabilities:

• Drive and execute the product vision and strategy for Notifications Engagement, with a focus on improving user value, engagement, and long-term retention.
• Develop, maintain, and communicate a prioritized product roadmap aligned with team priorities and broader business objectives.
• Work closely with design, engineering, data science, and product teams to identify user problems, capture opportunities, and manage a prioritized backlog.
• Participate in quarterly planning to define initiatives, resolve dependencies, and establish data-driven priorities.
• Define team goals, success metrics, and measurable outcomes that align product performance with broader business objectives.
• Design, run, and evaluate product experiments to continuously test, learn, and improve the user experience.
• Analyze feature and experiment results, communicate key findings, and translate learnings into actionable product decisions.
• Use data and user insights to identify opportunities for more personalized and effective product experiences.
• Conduct market and usability research to understand customer needs, emerging opportunities, and potential areas for product innovation.
• Collaborate with internal business, operations, and partnerships teams to launch and maintain features that contribute to user growth and engagement.
• Drive continuous improvement by identifying opportunities to optimize notification experiences, reach, addressability, conversion, and post-click journeys.
• Align diverse stakeholders around a common product vision and facilitate effective decision-making across cross-functional teams.

Requirements:

• 5+ years of professional product management experience, preferably with large-scale consumer products.
• Demonstrated experience growing consumer products through improvements to user experience, engagement, and retention.
• Strong analytical skills, including the ability to write SQL queries from scratch and use data to solve complex product problems and guide decisions.
• Proven experience developing long-term product strategies and roadmaps, establishing OKRs, defining success metrics, and running and measuring experiments.
• Experience collaborating closely with engineering, product management, data science, design, and other cross-functional teams.
• Strong passion for rapid experimentation, continuous testing, learning, and iteration.
• Ability to define meaningful team goals and success metrics and track progress against broader business objectives.
• Exceptional independent problem-solving skills, attention to detail, adaptability, and ability to operate effectively in a fast-paced environment.
• Strong communication and interpersonal skills, with the ability to influence and align diverse stakeholders around shared goals.
• Strategic mindset combined with strong execution skills and the ability to manage ambiguity and competing priorities.
• Experience with consumer growth and experimentation at scale is preferred.
• Experience working on high-traffic consumer experiences and/or products adjacent to machine learning is preferred.
• Background or experience in UX, mobile, engineering, or data science is a plus.

Benefits:

• Base salary range of $190,800–$267,100 USD.
• Equity compensation in the form of restricted stock units.
• Commission eligibility may apply depending on the position offered.
• Medical, dental, and vision insurance for U.S.-based employees.
• 401(k) program with employer match.
• Generous vacation and paid time off.
• Parental leave.
• Opportunity to work on high-scale consumer products with significant impact on engagement and retention.
• Cross-functional collaboration with engineering, design, data science, business, operations, and partnerships teams.
• Opportunity to lead experimentation, personalization, and real-time product experiences across multiple communication channels.
• Remote work opportunity within the United States.
• Reasonable accommodations are available for qualified individuals with disabilities and disabled veterans during the application and interview process.
• For select roles, interview recording, transcription, and AI-generated summaries may be used, with the option to opt out before scheduled interviews.