AI Product Manager, Business Technology

Samsara is a pioneer of the Connected Operations™ Cloud, enabling organizations reliant on physical operations to harness IoT data for actionable insights. They are seeking a strategic Enterprise AI Product Manager to own and scale their enterprise AI tool portfolio, driving adoption and measurable outcomes across various business functions.

Responsibilities:

• Own the end-to-end adoption & go-forward strategy for Samsara's enterprise AI tool portfolio (for eg. Gemini, Slack AI, Zoom AI, Glean AI, Claude, ChatGPT): own the overall roadmap for each portfolio tool, design and run targeted pilots as needed, set quantitative success metrics (e.g., usage, time savings, user satisfaction), and drive phased, measurable rollouts across the company (as needed)
• Serve as the product and integration owner for enterprise AI platforms: evaluate and maintain a current view of the enterprise AI tool landscape, compare and position tools against one another, drive key integrations into core business systems, in service of teams building AI-powered workflows and agents
• Partner with BizTech, Security, and Legal to operationalize access, licensing, and governance for enterprise AI tools — including streamlined approval paths, clear eligibility policies, and well-documented support workflows
• Co-develop and maintain a clear Enterprise AI Roadmap identifying and prioritizing high-value AI opportunities in partnership with functional leaders and AI champions
• Translate org-level business needs into well-sequenced AI product initiatives with explicit investment theses and portfolio-level prioritization that surfaces the highest-impact bets first
• Actively challenge platform and process constraints to bridge the gap between business needs and technical feasibility — driving solutions that deliver step-change improvements in efficiency and adoption
• Partner with our Saas team to maintain a robust, rolling set of enterprise metrics for non-R&D AI initiatives, including value drivers, ROI analysis, adoption metrics, and success benchmarks
• Own the measurement framework for AI product value — tracking efficiency gains, adoption lift, and workflow impact across functions to demonstrate the cumulative ROI of the enterprise AI portfolio over time
• Partner with our Saas team to lead enablement, training, and communications for enterprise AI tools: maintain central how-to guides, run AI learning sessions and office hours, steward community channels for questions and tips, and consistently showcase high-impact use cases and wins
• Foster a culture of AI enthusiasm and innovation by maintaining a network of AI champions across the organization — connecting ideas to build/delivery vehicles and inspiring replicable, high-ROI use cases across departments
• Act as the voice of AI users: collect feedback and usage data, synthesize themes, influence vendor and internal roadmaps, and proactively seed new use cases (e.g., hackathon projects, workflow automations, and department-wide expansions)
• Communicate effectively with stakeholders at all levels, providing portfolio updates, managing expectations, and translating complex AI concepts for non-technical audiences
• Maintain decision clarity and investment thesis quality across all AI tool decisions, ensuring senior leaders have the context needed to make confident, aligned choices on the enterprise AI stack

Requirements:

• Bachelor's degree in Engineering, Computer Science, or a related field
• Minimum 8 years of experience in business operations, technology implementations, or product management
• Hands-on experience with enterprise AI tools and platforms (e.g.LLMs, MCP, workflow automation, and experience deploying enterprise tools eg. Gemini, Zoom AI, Slack AI, Atlassian AI, Claude, ChatGPT and others)
• Demonstrated AI product or transformation experience — you've driven or supported meaningful enterprise AI adoption, not just experimented with it
• Strong analytical, communication, and stakeholder management skills, with the ability to translate complex concepts for varied audiences and drive organizational change
• Proven ability to hold the strategic view while managing product details — you can write a business case in the morning and review an integration spec in the afternoon
• Advanced degree in Data Science, Engineering, or Operations Management
• Experience in B2B SaaS ecosystems
• Familiarity with hardware/software solution environments, particularly in Business Technology
• Experience managing an AI champion network or center of excellence
• Hands-on experience evaluating and deploying enterprise-grade AI platforms and integrations