Note: The job is a remote job and is open to candidates in USA. Indeed is a job site dedicated to helping people connect with employers and find meaningful employment, with this role situated within Glassdoor. The Lead Product Manager will own and develop products and features within the Messaging domain, partnering across engineering and other teams to define strategy, prioritize roadmaps, and deliver scalable solutions. The role will use customer feedback, experimentation, data insights, and AI to guide product discovery, execution, and improvements.
Responsibilities
- Partner with engineering teams and other interested parties to define product strategy, prioritize roadmaps, and deliver scalable solutions aligned to broader business objectives
- Communicate product vision, roadmap direction, priorities, and tradeoffs to leadership, collaborators, and interested parties to drive alignment and informed decision-making
- Be the face of the customer internally, advocating for and representing customer needs, opportunities, and product requirements while balancing business and technical considerations
- Identify, define, and monitor product goals, success metrics, and long-term outcomes to measure impact and guide prioritization
- Drive product discovery and execution by leveraging experimentation, data insights, and customer feedback to inform decisions and optimize product performance
- Partner across teams to influence product direction, navigate ambiguity, and support delivery across interconnected initiatives
- Provide clear written and verbal updates on roadmap progress, risks, priorities, and outcomes to leadership and collaborators
Skills
- Requires a minimum of 10 years of related experience; or a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience
- Experience working closely with engineers to define, plan, and deliver products and features across complex problem spaces
- Experience balancing customer needs, business priorities, and technical considerations to inform product decisions
- Data-driven mindset with experience leveraging insights, experimentation, and metrics to guide prioritization and product improvements
- Deep curiosity and accountability for the data and insights of their products
- AI Fluency: Demonstrates solid proficiency in applying AI across both product development and day-to-day work. Uses AI to accelerate research, synthesis, writing, analysis, prototyping, and decision-making, while thoughtfully incorporating AI into product strategy, discovery, and user experiences
Benefits
- Quarterly bonuses
- Restricted Stock Units (RSUs)
- A Paid Time Off policy
- Many region-specific benefits
Company Overview
Company H1B Sponsorship