Description

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.