Product Manager, AI

Millennium Systems International is hiring a Product Manager, AI to lead the development and evolution of AI-powered SaaS solutions for the beauty and wellness industry. The role defines product direction, works closely with customers and engineering to build and ship AI capabilities, and measures their business outcomes.

Responsibilities:

• Find the manual work that front-desk staff, schedulers, and owners do today across scheduling, service menus, commissions, retail inventory, and rebooking. Turn it into agent-first capabilities that deliver measurable ROI, where agents take on the work and operators stay in control
• Prioritize ruthlessly on customer impact. Use AI to synthesize customer feedback, usage data, and market evidence, then make the call without waiting for consensus and own the result
• Stay current on LLMs, agentic frameworks, retrieval-augmented generation, and tool use. Know their limits well enough to set goals that are both ambitious and realistic
• Explain product and AI direction clearly to customers, partners, and internal stakeholders
• Author the Product Intent before pod work begins. It covers market context, user problem, desired outcomes, strategic rationale, and how the outcome will be measured in-product
• Partner with your Pod Lead to turn the Intent into the Pod Brief. This is the pod’s living plan, covering solutions, constraints, acceptance criteria, risk, design approach, and the context AI agents need. It should be crisp enough to build from without added clarification
• Own user experience decisions but bring in a UX Designer when design system changes are needed
• Act as the pod’s single point of intake. Route outside requests through yourself and hold them for the next checkpoint rather than shifting priorities mid-build
• Spend real time with salon and spa owners, managers, and front-desk staff. Build fluency in how they run day to day, even if the domain is new to you
• Prototype hands-on with Claude at the fidelity the idea needs and no more, and iterate with engineering in rapid cycles
• Run the weekly Customer Feedback session. Bring the pod’s open questions to customers, and work what you hear into the next round
• Run the weekly Stakeholder Feedback session. Decide with the pod what to act on now, what to queue, and what to leave undone, then send stakeholders that decision by end of day
• Ship valuable increments continuously rather than perfect solutions later
• Instrument each capability against the outcome you declared: time saved, fewer no shows and cancellations, better chair utilization, and protected retail margin
• Bring the pod’s work and evidence to each checkpoint with your Pod Lead, from Intent approval through ship to pilot and go to market
• Own internal UAT with SMEs before any customer sees the work. Close each release with a final demo before pilot
• Treat documentation as a pod deliverable, so education, sales, and customer success have what they need at pilot, not at launch
• Partner with Product Marketing well before launch. Make sure they understand what was built, who it serves, and the outcome it delivers, so they can communicate its value to customers clearly
• Pull in help across Meevo as the work needs it, including other PMs, SMEs, customer success, sales, and education. The pod stays small; its reach does not

Requirements:

• 5+ years in product management, with at least 2 years shipping AI/ML-powered products to production
• Domain experience in a vertical SaaS business management platform, including hands on work with integrated payments
• Agent-first thinking: you frame problems as tasks AI agents can take on, not just features for people to click
• you also have the technical depth to hold your own in architecture conversations
• Builder mentality and speed: you co-create with engineers, prototype, and ship continuously
• You make sound calls on imperfect evidence and own the result
• Fast domain learning: you can get fluent in how salons and spas actually run without months of ramp-up
• Clear communication with audiences ranging from front-desk staff to executives and investors
• Experience defining and tracking metrics tied to business outcomes such as retention, utilization, adoption, and revenue
• Experience at software companies serving salons, spas, wellness, hospitality, or other appointment-based businesses, ideally in vertical SaaS
• Hands-on, shipped work with LLMs, agentic systems, RAG, or AI workflow automation
• Experience at a growth-stage or PE-backed SaaS company moving from traditional software to AI-native products
• Understanding of API-first, cloud-native architecture and how it shapes what can ship fast