Lead Product Manager

Overview

In this role you own a strategic, business-critical product area and shape its roadmap to drive growth, retention, and competitive advantage. You partner with executive leadership, enterprise customers, and cross-functional teams to deliver impactful product outcomes. You will blend product craft, technical perspective, and data-driven judgment to steer initiatives in an agile, high-autonomy environment. You’ll mentor others as the team scales and bring agentic AI into the product management workflow for broader adoption. This is a high-visibility opportunity to influence product strategy at a fast-growing, global software analytics company.

Pay / Benefits

• 32 days of holidays
• Work from Home Equipment allowance
• Flexible Work from Home – 2 days remote a week
• 4 weeks Long Distance flexibility
• 12 weeks paid maternity and paternity leave
• Pet friendly office

Responsibilities

• Own and communicate the strategic roadmap, tied to revenue and adoption metrics
• Lead front-end design and UX quality discussions; influence model behavior with ML engineering and data architecture with backend engineering
• Present roadmap to executives and defend strategy in high-stakes environments
• Engage with enterprise customers and active sales cycles as a credible product voice
• Collaborate with Sales, Product Marketing, and Customer Success on positioning, deals, and renewals
• Mentor product managers and potentially take on people leadership as the team grows
• Set and uphold rigorous product craft: problem framing, PRDs, roadmap collaboration, post-launch measurement
• Leverage agentic AI tools in product workflows and drive wider adoption across the team

Key requirements

• 8+ years of experience in technical B2B SaaS Product Management
• Experience selling B2B SaaS and AI products into large, regulated or enterprise organizations
• Led products within AI SDLC, Software Engineering Intelligence, DevOps, Developer Tools, Data Analytics and/or Agentic AI
• Comfort in fast-moving, ambiguous, multi-product environments
• Data-driven leader who can balance data and judgment
• Ability to discuss product experiences with both engineers and executives

• strong communication
• executive communication
• mentoring and people leadership
• B2B SaaS product management
• AI/Agentic AI products
• AI SDLC and Software Engineering Intelligence

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