Product Manager

Summary

SageOx is an early-stage startup developing AI-focused products that support human collaboration and the future of work. The first Product Manager will report to the CPO, understand customer needs, shape product value and packaging, and lead experimentation from ambiguous problems through shipped solutions.

Responsibilities

• Understand what customers need. Stay close to how teams actually work with agents and how they use SageOx — usage data, customer conversations, support threads, the moments where someone (or some agent) reached for context and didn't find it. Turn that raw signal into a clear, current picture of what customers are trying to do, what's missing, and what's getting in their way
• Think deeply about value — creating, communicating, and capturing it. SageOx creates a new category of products, so there's no recipe to copy for how we create, communicate, and capture value. You'll need to work out what specific moments in the customer experience create the most value, which of those moments a team would pay for, and how the product should be shaped and packaged so that what's valuable to customers is also what sustains the company
• Steer, and build the system that lets us experiment. Ideas are abundant here and execution is cheap. What's scarce is having judgement on which bets to pursue based on the evidence we collect. This role helps steer: framing the questions worth answering, and building the process by which we build, put things in front of real teams, validate quickly, and drop what doesn't hold up
• Driven by curiosity, courageous in experimenting, humble in success
• Ships features and experiments instead of producing strategy decks without execution
• Moves from an ambiguous customer problem to testable hypotheses to a finished experiment
• Balances speed with taste. The goal is not maximum output; it is the right product — envisioned, packaged, priced, and communicated to the right customers. That often means saying no, cutting scope, and synthesizing rather than adding
• Seasoned in customer discovery — meeting customers where they are, observing unobtrusively, asking sharp questions — and changing direction when evidence contradicts the original idea

Skills

• • 3–10 years shipping pioneering products
• • Mission alignment: believes deeply in what SageOx is building. Lives and breathes the product every day, all day long
• • Deep, hands-on fluency with AI: you not only use AI in all aspects of your work but also have deep curiosity about the ecosystem — emerging technologies, products, practices
• • Zero-to-one experience: you've lived through creating something from nothing — ambiguous problem, small team, no playbook
• • Experiment-minded: makes many parallel bets and picks the winners; can talk in hypotheses, baselines, and results
• • Deep customer empathy: wants to understand and solve customer problems, and orients toward finding those customers
• • Thinks deeply, communicates clearly, writes well: AI slop is all around us — stand on your own thinking, clarity, and craft
• • Strong sense of ownership: owns outcomes; makes things happen with limited resources; has a great sense of direction and prioritization amid the ambiguity of an early-stage startup
• • Cultural fit: embodies SageOx's values
• In person, five days a week, in Seattle
• Bay Area-based candidates who can get to Seattle at least one week a month, for the first six months
• • Founder or early-employee experience somewhere that grew fast
• • Connected to the builder scene in Seattle, San Francisco, and online

Qualifications

Must Haves

• • 3–10 years shipping pioneering products
• • Mission alignment: believes deeply in what SageOx is building. Lives and breathes the product every day, all day long
• • Deep, hands-on fluency with AI: you not only use AI in all aspects of your work but also have deep curiosity about the ecosystem — emerging technologies, products, practices
• • Zero-to-one experience: you've lived through creating something from nothing — ambiguous problem, small team, no playbook
• • Experiment-minded: makes many parallel bets and picks the winners; can talk in hypotheses, baselines, and results
• • Deep customer empathy: wants to understand and solve customer problems, and orients toward finding those customers
• • Thinks deeply, communicates clearly, writes well: AI slop is all around us — stand on your own thinking, clarity, and craft
• • Strong sense of ownership: owns outcomes; makes things happen with limited resources; has a great sense of direction and prioritization amid the ambiguity of an early-stage startup
• • Cultural fit: embodies SageOx's values
• In person, five days a week, in Seattle
• Bay Area-based candidates who can get to Seattle at least one week a month, for the first six months

Nice to Haves

• • Founder or early-employee experience somewhere that grew fast
• • Connected to the builder scene in Seattle, San Francisco, and online

Benefits

• Meaningful equity