Senior Product Manager

Sortly

7d•Remote

About The Position

Sortly is hiring a Senior Product Manager – AI & Inventory Management to evolve our core Inventory Management product line. This platform helps thousands of businesses track assets and consumables across construction, field services, manufacturing, and medical industries. As Senior PM, you'll shape the strategic vision and execution of AI-powered Inventory Management that transforms how businesses manage operational workflows. You’ll help evolve Sortly from basic inventory tracking into an intelligent inventory operations platform powered by AI. You’ll own the roadmap for high-impact capabilities including inventory forecasting & replenishment, smart inventory insights and workflows, automated reconciliation and reporting, and AI-driven workflow guidance — features that enable customers to operate more efficiently while maintaining Sortly’s signature mobile-first simplicity. You’ll work closely with engineering, design, and data science teams to deliver intelligent product capabilities that drive retention, expansion, and operational efficiency for SMB customers. If you're passionate about building AI-enabled B2B SaaS products that solve real operational problems, this is an opportunity to make a major impact at a fast-growing, profitable company.

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

Nice To Haves

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)

Responsibilities

Own The AI Powered Inventory Management Product Features
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
Ship Features That Drive Business Impact
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
Become an Expert in Customer Workflows
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
Lead Cross-Functional Collaboration
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
Drive Measurable Results
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