Senior Product Manager - AI & Inventory Management
New
S
SortlyB2B SaaS
United StatesFull-TimeSenior
Salary145,000 - 225,000 USD per year
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Job Details
- Experience
- 5+ years of Product Management experience, including 2+ years in B2B SaaS 1+ year building AI/ML-powered products
- Required Skills
- Artificial IntelligenceMachine Learning
Requirements
- 5+ years of Product Management experience, including 2+ years in B2B SaaS
- 1+ year building AI/ML-powered products with real customer impact
- Proven track record of shipping successful products end-to-end
- Comfortable discussing AI/ML concepts, system design, and tradeoffs with engineering
- Experience working cross-functionally with engineering, design, GTM, and data science in fast-paced environments
- Customer-focused: You turn complex operational needs into simple, intuitive product experiences
- Strategic: You balance long-term vision with practical, near-term decisions
- Execution-oriented: You write clear requirements and consistently ship high-quality products on time
- Data-driven: You use analytics, research, and model performance to guide decisions
- Technically fluent: You understand the basics of AI/ML systems, data pipelines, and their constraints
Responsibilities
- Own the AI-Powered Inventory Management Roadmap
- Define and drive the 1–3 year vision for AI-powered inventory management
- Prioritize features like forecasting, replenishment, smart insights, and workflow automation
- Make tradeoffs on scope and investment to maximize customer and business impact
- Build and Launch High-Impact AI Features
- Lead end-to-end development of AI initiatives (e.g., predictive recommendations, workflow automation)
- Write clear product requirements and partner with engineering, design, and data science
- Balance speed, quality, and technical tradeoffs to ship impactful features
- Understand Customers and Deliver Results
- Develop deep expertise in workflows across industries (construction, field services, manufacturing, medical)
- Use customer research and product data to identify automation opportunities
- Own key outcomes like adoption, efficiency gains, and revenue impact
- Collaborate to Bring Products to Market
- Work cross-functionally to unblock development and drive execution
- Partner with Sales, Marketing, and Customer Success on GTM strategy
- Communicate priorities, risks, and decisions clearly to stakeholders and leadership
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