Senior Product Manager

Responsibilities

• Take ownership of a meaningful product domain within Easygenerator
• Define the product direction, priorities, and success metrics for your area
• Translate company strategy into focused product bets and clear team goals
• Build a deep understanding of our customers, users, competitors, and market
• Turn ambiguous problems into clear opportunities and well-framed solutions
• Use qualitative and quantitative insights to make strong product decisions
• Identify where AI can meaningfully improve user workflows, not just add novelty
• Work with Engineering and Design to shape AI-powered features that are useful, trustworthy, and easy to use
• Think critically about AI quality, evaluation, edge cases, and user trust
• Work closely with Engineering and Design from problem definition through delivery
• Keep the team focused on outcomes while making smart scope trade-offs
• Ensure we ship high-quality product improvements with measurable impact
• Collaborate with Sales, Customer Success, Marketing, and Support to understand customer needs and market signals
• Communicate product direction clearly to stakeholders across the company
• Bring structure and clarity without creating unnecessary process

Requirements

• 5+ years of product management experience, ideally in B2B SaaS
• Experience owning a product area end-to-end, from discovery to delivery and iteration
• Strong track record of shipping products or features that created measurable customer or business impact
• Experience working in cross-functional teams with Engineering, Design, Analytics, and commercial stakeholders
• Strong understanding of product discovery, prioritization, roadmap planning, and outcome-based product management
• Experience working on complex products with multiple user types, workflows, permissions, or integrations
• Hands-on experience using AI tools in your own work
• Strong understanding of how AI can change user workflows and product experiences
• Ability to evaluate AI product ideas critically, including quality, trust, usability, and adoption risks
• Comfortable working with technical teams on AI-powered features, even if you are not an AI engineer
• Curious, experimental, and pragmatic about AI: excited by the potential, but grounded in real customer problems
• Strong problem-framing skills: you can turn vague input into clear product direction
• Strong analytical thinking: you use data well, but don’t hide behind it when judgment is needed
• Strong UX instincts: you care about simplicity, usability, and product quality
• Strong communication skills: you can explain product decisions clearly to technical and non-technical audiences
• Strong ownership: you don’t wait for perfect instructions before moving things forward
• Bachelor’s degree in Business, Computer Science, Engineering, Design, or a related field
• Equivalent practical experience can substitute for formal education

Core Competencies

Demonstrates expertise in product management with a focus on B2B SaaS, including product discovery, roadmap planning, and outcome-based decision-making. Proficient in leveraging AI tools to enhance user workflows and product experiences while ensuring high-quality deliverables.