Overview
As the Product Manager for our product lines, you will own the end-to-end lifecycle—from vision and strategy to launch and growth. You will blend strategic thinking with hands-on execution, leveraging AI tools to design exceptional products, craft data-backed roadmaps, and deliver measurable business results.
Responsibilities
Strategy & Planning
- Develop and maintain a clear product vision, long-term strategy, and targets for the product line.
- Prioritize initiatives that maximize customer and business value.
AI-Centric Product Design
- Use AI-based tools to ideate, prototype, and optimize product experiences.
- Champion experimentation to validate concepts quickly.
Go-to-Market & Growth
- Manage all marketing channels (paid, organic) to drive acquisition and retention.
Customer Support Excellence
- Define KPIs for support quality; partner with Support teams to uphold SLAs and improve customer experience.
- Implement feedback loops to translate support insights into product improvements.
Roadmap Execution
- Translate strategy into an actionable roadmap; coordinate tech development through delivery.
- Track progress in Jira/Notion and remove obstacles to hit milestones.
Research & Discovery
- Conduct qualitative user interviews and quantitative market analyses to uncover needs and trends.
- Synthesize findings into actionable insights and feature proposals.
Data-Driven Decision-Making
- Analyze product metrics in Metabase, Tableau, or SQL to guide prioritization and measure impact.
- Present clear, data-backed recommendations to leadership.
Stakeholder Management
- Align stakeholders around shared goals.
- Communicate progress, risks, and learnings through concise updates and demos.
Qualifications
- Experience: 5+ years of product-management experience.
- Product Tools: Proficiency with Jira (roadmapping, backlog) and Notion (documentation, knowledge management).
- Product Design Fundamentals: Ability to translate user problems into intuitive, delightful solutions.
- AI Mindset: Enthusiasm for learning and applying emerging AI technologies to solve customer problems.
- Analytics: Hands-on experience with Metabase, Tableau, and SQL for exploratory analysis and dashboarding.
- Data-Driven: Comfortable forming hypotheses, running experiments, and making decisions grounded in data.
- Results Orientation: Proven track record of delivering measurable outcomes against ambitious goals.