Product Manager
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Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: We are seeking a Senior Product Manager to define, build, and scale the technology ecosystem powering Samsara's end-to-end supply chain operations. This role sits at the intersection of business strategy, product management, enterprise architecture, and emerging technology — translating complex supply chain challenges into scalable digital solutions including enterprise platforms, integrations, automation, AI-powered workflows, and intelligent decision-support capabilities. You will own the product vision, strategy, architecture, and roadmap across planning, procurement, supplier collaboration, fulfillment, order management, logistics, and reverse logistics — driving build-vs-buy decisions and delivering measurable business outcomes through technology transformation. You will partner closely with Supply Chain Operations, Business Technology, Engineering, Data, Finance, and external technology partners to modernize Samsara's supply chain capabilities and enable scalable global operations. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: Product Strategy, Vision 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. Supply Chain Systems & Process Transformation 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 Enterprise Architecture & Technology Strategy 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 AI, Automation & Digital Transformation 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 Product Execution & Delivery 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 Cross-Functional Leadership & Influence 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 Business Impact & Continuous Improvement 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. Minimum requirements for the role: 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 An ideal candidate also has: 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
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