Product Manager, AI
United StatesYesterday
Key details
- Location
- United States
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Experience
- 5–8 yrs
- Function
- Product / Program management
- Focus area
- other
- Posted
- Yesterday
Skills
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Manager, AI based in the United States.
The Product Manager, AI will lead the strategy, development, and evolution of innovative AI-powered SaaS solutions for the beauty and wellness industry. This role focuses on transforming everyday business operations through intelligent, agent-first product experiences. You will identify opportunities to automate manual workflows and deliver measurable value to salon, spa, and med spa businesses. Working closely with engineering, design, sales, and customer-facing teams, you will drive products from initial concept through development, launch, and continuous improvement. This is a hands-on position combining product strategy, customer research, rapid prototyping, and AI innovation. The ideal candidate thrives in a fast-paced environment, enjoys building alongside technical teams, and is passionate about turning emerging technologies into practical business solutions.
Accountabilities:
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Define Product Strategy: Lead the product vision and roadmap for AI-powered solutions, identifying opportunities to automate manual workflows across scheduling, service menus, commissions, inventory management, and customer rebooking. Prioritize initiatives based on customer needs, market insights, and measurable business impact.
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Drive AI Innovation: Stay informed about developments in large language models (LLMs), agentic frameworks, retrieval-augmented generation (RAG), and AI tool integrations. Translate emerging capabilities into practical product opportunities and realistic development objectives.
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Own Product Documentation and Planning: Develop clear Product Intents outlining market context, customer problems, strategic objectives, and success metrics. Collaborate with technical leads to create detailed product briefs covering solutions, requirements, acceptance criteria, risks, and design considerations.
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Collaborate with Customers: Engage directly with salon and spa owners, managers, and front-desk professionals to understand operational challenges. Organize regular customer feedback sessions and incorporate insights into product decisions and development priorities.
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Prototype and Build: Work closely with engineering teams to develop prototypes, test concepts, and deliver product improvements through rapid development cycles. Use AI tools, including Claude, to accelerate experimentation and validate solutions.
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Manage Product Priorities: Serve as the primary point of contact for incoming product requests, balancing stakeholder expectations with roadmap priorities and maintaining focus throughout development.
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Measure Product Performance: Define and monitor KPIs such as time savings, customer retention, adoption, utilization, reduced cancellations, and revenue growth. Use data and performance insights to continuously improve product outcomes.
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Oversee Testing and Launches: Coordinate internal user acceptance testing, stakeholder reviews, product demonstrations, pilot programs, and go-to-market readiness. Ensure product documentation and supporting materials are available to sales, education, and customer success teams.
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Drive Cross-Functional Alignment: Partner with engineering, UX, product marketing, sales, customer success, and subject matter experts to ensure successful product delivery, adoption, and continuous improvement.
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Professional Experience: At least 5 years of product management experience, including a minimum of 2 years developing and launching AI- or machine learning-powered products in production environments.
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Industry Knowledge: Experience with vertical SaaS business management platforms, including hands-on exposure to integrated payment solutions.
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AI and Technical Expertise: Strong understanding of AI-driven product
Requirements:
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