Senior Business Technology Product Manager- Supply Chain Planning

Samsara is seeking a Senior Product Manager to define and scale the technology ecosystem supporting its end-to-end supply chain operations. The role owns supply chain product strategy, architecture, and roadmaps while leading systems modernization, integrations, automation, and AI-enabled solutions in partnership with cross-functional teams.

Responsibilities:

• Drive the multi-year product vision, strategy, target-state architecture, roadmap, and investment priorities for Supply Chain technology capabilities
• Lead product strategy across a portfolio of enterprise supply chain systems, balancing business outcomes, customer needs, technical feasibility, scalability, and long-term value
• Identify systemic operational friction and translate business challenges into scalable product, platform, automation, and AI solutions
• Define success metrics, value realization frameworks, and measurable outcomes across adoption, efficiency, cost savings, and operational performance
• Influence senior leaders by connecting business strategy, technology capabilities, and transformation opportunities
• Own a functional portfolio spanning planning, procurement, order management, fulfillment, and reverse logistics
• Analyze current-state processes, identify root causes, and design future-state operating models and workflows
• Translate complex supply chain processes into scalable product capabilities, user journeys, system requirements, and integration patterns
• Drive modernization from fragmented tools and manual processes toward connected, intelligent supply chain platforms
• Ensure core platforms (ERP, planning, and analytics systems) work together to support reliable, efficient end-to-end operations
• Partner with business teams to redesign processes where technology, automation, and AI can unlock significant operational leverage
• Define end-to-end application, integration, data, and platform architecture across ERP, planning, analytics, and AI ecosystems
• Establish scalable architecture patterns enabling reliability, extensibility, governance, and long-term maintainability
• Lead technology evaluations, vendor assessments, and build-vs-buy decisions
• Drive simplification of application landscapes, reduction of technical complexity, and creation of reusable capabilities
• Evaluate emerging technologies to identify opportunities for strategic advantage
• Identify high-value AI and automation opportunities across supply chain operations to improve productivity, decision-making, and operational agility
• Define and execute AI-enabled product strategies leveraging LLMs, AI agents, agentic workflows, MCPs, predictive analytics, and optimization models
• Design and scale AI-powered solutions that integrate enterprise data, business workflows, and operational systems to reduce manual effort and accelerate decisions
• Partner with Engineering, Data Science, and Architecture to take AI initiatives from experimentation through production deployment and measurable business impact
• Establish responsible AI practices covering governance, security, data quality, transparency, and continuous improvement
• Own the end-to-end product lifecycle from ideation through deployment and continuous improvement
• Define user stories, acceptance criteria, and backlog prioritization, and partner with engineering to deliver
• Ensure solutions are scalable, well-documented, and aligned with governance and compliance standards
• Build alignment across senior leaders and cross-functional teams: Supply Chain, Business Technology, Engineering, Data, Finance, Procurement, and Operations
• Navigate ambiguity and solve complex problems where there is no predefined solution
• Mentor product managers and technology partners to raise product maturity and execution standards
• Establish best practices around discovery, prioritization, product thinking, and outcome measurement
• Define and track KPIs including forecast accuracy, inventory turns, service levels, cycle time, automation rate, and cost savings
• Monitor system performance and business impact post-deployment
• Continuously refine systems and features based on data insights and stakeholder feedback
• Champion and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as the company scales globally and across new offices

Requirements:

• 10+ years in Product Management, Supply Chain, Solutions Architecture, or Digital Transformation with ownership of a functional domain or enterprise systems portfolio
• Strong understanding of end-to-end supply chain processes: Design-to-Release, Forecast-to-Plan/Build, Order-to-Cash, Procure-to-Pay, and Returns/Reverse Logistics
• Hands-on experience delivering enterprise systems, integrations, and process automation, including AI/ML or advanced analytics in operational contexts
• Ability to translate complex business problems into clear technical requirements and target-state architecture
• Proven ability to influence and align senior, cross-functional stakeholders in a matrixed environment without direct authority
• Strong collaboration and communication skills across technical and non-technical global teams
• Strong documentation discipline, and high attention to detail
• Familiarity with agile methodologies
• Experience owning systems or platform roadmaps within a Business Technology or Corporate Systems organization
• ERP experience: NetSuite, Oracle, or SAP
• Advanced Planning Systems experience: E2open, Kinaxis, Blue Yonder, or Oracle
• Salesforce knowledge
• Data and integration ecosystem experience: Databricks, cloud platforms (Azure, AWS, GCP), APIs, and integration platforms such as Workato or MuleSoft
• Working knowledge of SQL and analytics
• Experience with Large Language Models and core ML concepts: forecasting, optimization, classification, and anomaly detection
• Hands-on experience building AI-powered solutions: AI agents, MCP-based integrations, AI copilots, RAG applications, and LLM-powered workflows
• Familiarity with AI tools such as Claude, ChatGPT, Gemini, or enterprise AI assistants
• MBA or Master's degree in Supply Chain, Analytics, Engineering, Computer Science, or a related field