Product Manager

Dimensionless Technologies is hiring a US-based contract Product Manager to own product direction for data and AI initiatives. The role involves identifying customer and business problems, setting roadmaps and priorities, aligning cross-functional stakeholders, and measuring product outcomes.

Responsibilities:

• Talk to customers regularly through interviews, discovery calls, and usage reviews to understand their workflows and pain points
• Turn qualitative feedback, product data, and market signals into clear problem statements with evidence behind them
• Track the competitive landscape and spot where we can win
• Own the roadmap for your initiatives and make clear trade-offs across customer value, business impact, effort, and risk
• Write concise PRDs and one-pagers covering the problem, target user, success metrics, and scope. Leave solution design to engineering and design
• Say no, or not yet, to good ideas that aren't the most important thing right now, and explain why
• Be the connective tissue between engineering, design, data, sales, customer success, and leadership
• Run roadmap reviews and decision meetings that end with clear owners and next steps
• Communicate priorities and progress in writing so teams across time zones stay in sync
• Define success metrics and targets before work starts, not after it ships
• Partner with data and engineering to instrument features and build dashboards
• Review results after launch, share what you learned, and feed it back into the roadmap: iterate, double down, or kill

Requirements:

• 5+ years of experience as a Product Manager, owning outcomes for B2B or technical products
• Proven experience building data and AI products, such as analytics platforms, ML-powered features, or GenAI applications, from discovery through launch
• A track record of finding the real problem behind customer requests and turning it into a product that moved a measurable metric
• Strong prioritization judgment, using frameworks like RICE or opportunity sizing as tools rather than substitutes for thinking
• Comfort with data: you can define metrics, read a dashboard critically, and write basic SQL or work closely with analysts
• Clear, concise writing. Your PRDs, updates, and decision docs get read and acted on
• Experience aligning cross-functional and executive stakeholders, including through disagreement
• Enough technical fluency to have credible trade-off conversations with engineers and data scientists
• Based in the US