Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties If we asked your coworkers to describe you, they'd respond "humble," "hungry," "outcome-driven," and "great at building relationships." You have a knack for defining problems, falling in love with them, and then iterating on solutions until they are solved. Specifically for this role, you've made AI a core part of how you work. You don't see it as a novelty; you see it as a way to multiply what a focused team can accomplish. You are excited by the challenge of building systems where agents do the heavy lifting so you can focus on the next big bet. You're comfortable making calls with incomplete information, and you do your best work when you have both the autonomy to move fast and a team to think alongside. This role sits at the center of BambooHR's growth strategy. You will own the product-led expansion motion: building the intent signal layer, segmented upgrade experiences, and the experimentation infrastructure that makes expansion precise and automated. You'll work closely with Product Teams, Marketing, Sales, and Customer Experience — you'll have real partners, not just stakeholders. This is a high-autonomy role on a tight-knit, high-impact team for someone looking to push the boundaries of what's possible when you design for the future of human-technology interaction. We don't just use AI — we are rebuilding our product-led growth (PLG) engine around it. Our goal is to push the limits of PLG with agentic workflows that surface and act on expansion signals at scale. We are targeting 500 experiments in the next 12 months, and we need a PM who treats AI not as a feature to ship, but as an operating model to adopt.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees