Role 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.
Key Responsibilities
Area | What You’ll Do |
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 developer 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.