Senior Business Technology Product Manager- Supply Chain Planning

Samsara is the pioneer of the Connected Operations™ Cloud, helping organizations improve their physical operations through IoT data insights. The Senior Business Technology Product Manager will define, build, and scale the technology ecosystem for Samsara's supply chain operations, working at the intersection of business strategy, product management, and emerging technology.

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