Sortly is a multi-device inventory management solution that is hiring a Senior Product Manager to evolve their core Inventory Management product line. In this role, you will shape the strategic vision and execution of AI-powered features that transform how businesses manage operational workflows, working closely with engineering, design, and data science teams to drive retention and operational efficiency for SMB customers.
Responsibilities:
- Define and drive the 1-3 year roadmap for AI-powered Inventory Management, balancing customer needs, market opportunities, and business objectives
- Identify and prioritize features that deliver the highest value across key verticals, including inventory forecasting and replenishment, smart inventory insights & workflows, automated reconciliation and reporting, and AI-driven workflow guidance
- Make strategic decisions on scope, sequencing, and investment to maximize customer value and enable expansion through AI-driven operational intelligence
- Lead end-to-end product development for major initiatives like predictive inventory recommendations, intelligent workflow automation, automated reconciliation and reporting, and AI-guided inventory operations
- Write clear, detailed PRDs with jobs-to-be-done, user stories, acceptance criteria, success metrics, and AI-specific requirements
- Partner closely with engineering, design, and data science teams to scope features, resolve technical tradeoffs, and maintain delivery velocity
- Launch features on aggressive timelines while ensuring quality, strong customer impact, and measurable performance of AI-driven capabilities
- Conduct deep customer research across construction, field services, manufacturing, and medical verticals to identify opportunities for AI-powered operational intelligence
- Build strong empathy for different personas (business owners, warehouse managers, field technicians) and their daily workflows
- Analyze product usage data, customer feedback, and AI-driven insights to identify opportunities for smarter automation and workflow optimization
- Run validation sessions and beta programs to ensure product-market fit for intelligent features before launch
- Work daily with engineering, design, and data science teams to unblock development and make fast, informed decisions
- Partner with GTM teams (Sales, Marketing, Customer Success) on positioning, pricing, and go-to-market strategy for AI-enabled workflows
- Present roadmaps and progress updates to executive leadership with clarity and conviction
- Communicate proactively about risks, tradeoffs, and decisions to keep stakeholders aligned
- Define success metrics for features, including customer adoption, operational efficiency improvements, and AI performance indicators
- Track product performance using data, analytics, and model insights to continuously improve the product experience
- Take ownership of business outcomes, not just feature delivery; your work should directly impact revenue, customer satisfaction, and operational efficiency
Requirements:
- 5+ years of product management experience, with 2+ years in B2B SaaS
- 1+ years experience working on AI-enabled or data-driven product capabilities with real customer impact
- Proven track record of shipping successful B2B products that drove measurable business outcomes
- Experience working with cross-functional teams (engineering, design, GTM, and data science) in fast-paced, high-growth environments
- Strong technical fluency; able to discuss AI/ML concepts, APIs, system architecture, and technical tradeoffs with engineering
- Customer Obsession: Deep curiosity about customer workflows, pain points, and jobs-to-be-done. Ability to translate complex operational needs into simple AI-powered product experiences
- Strategic Thinking: Can develop multi-year product vision for intelligent workflows while making smart short-term tradeoffs. Balances innovation with pragmatism
- Execution & Delivery: Writes clear, detailed requirements. Ships features on time without sacrificing quality. Makes fast decisions to maintain momentum
- Data-Driven: Uses analytics, research, AI model performance, and customer feedback to inform decisions. Defines success metrics and tracks performance rigorously
- Technical Depth: Understands technical constraints and opportunities of AI/ML systems, data pipelines, model performance, and integrations
- Ownership: Takes full accountability for outcomes. Proactively identifies and solves problems without waiting for direction
- Bias for Action: Moves quickly, makes decisions with imperfect information, and iterates based on feedback
- Stakeholder Management: Communicates clearly and persuasively with executives, engineering, design, and GTM teams. Builds trust through transparency
- Collaboration: Works effectively with distributed teams. Navigates ambiguity and builds consensus across competing priorities
- Experience in operations-focused B2B SaaS products (inventory management, workflow automation, field service management, ERP/supply chain, etc.)
- Understanding of SMB customer segment and their buying behaviors
- Familiarity with AI/ML product development in B2B SaaS
- Mobile product experience (iOS/Android)
- International product experience (localization, multi-currency, regional compliance)
- Experience working in startup/scale-up environments (15-100 person companies)