Senior Product Manager

Relo Metrics is an AI-powered, fast-growing, global SaaS company that specializes in sports sponsorship analytics. They are seeking a Senior Product Manager to lead their Growth squad, focusing on accelerating new business and customer expansion through data and AI-powered integrations.

Responsibilities:

• Own the Growth squad roadmap end-to-end — from discovery through delivery and outcome measurement
• Run continuous discovery: regular customer conversations, opportunity mapping, and assumption testing to stay ahead of what the market needs
• Define and ship AI-powered features that improve data understanding, automate insight generation, and expand platform intelligence
• Partner closely with engineering to scope, sequence, and deliver high-quality product work in a lean, fast-moving team
• Identify and evaluate new integration and data partnership opportunities that accelerate customer expansion
• Define KPIs for your squad and report transparently on progress against them
• Collaborate with Customer Success and Sales to translate market signals into product bets

Requirements:

• BA or CS Degree or equivalent work experience
• 4-6 years of product management experience, ideally in B2B SaaS or data platforms
• Strong command of the full product lifecycle: discovery, delivery, and outcome measurement
• Comfortable working autonomously in a lean environment
• Analytical and data-driven: you use data to identify opportunities, set direction, and evaluate results
• Proficiency in defining squad-level KPIs and maintaining transparent reporting on progress against those metrics
• Challenger mindset: you do not wait for a backlog to be handed to you; you are comfortable generating your own requirements and driving the ship
• Insight-Driven: Naturally curious and analytical, you rely on data and insights rather than intuition alone to set the 'North Star' for your squad
• Clear, direct communicator (written and verbal) across technical and non-technical audiences
• Experience shipping features built on LLMs or other AI/ML capabilities in a data context; you've taken AI-powered product work from idea to production (nice to have)
• Experience with analytics platforms, data pipelines, or measurement products is a strong plus