About the role:

We are seeking a Change Management Program Manager to lead transformational initiatives at Samsara. This role is responsible for ensuring that system implementations, process redesigns, and AI-enabled tools are adopted effectively and sustainably — driving change within the Operations organization while also partnering on cross-functional initiatives that extend beyond Operations into other parts of the business.

You will serve as both a change management leader and an end-to-end project manager — owning initiatives from scoping and planning through execution and adoption. This is a highly cross-functional role that requires equal parts strategic thinking, structured program management, and hands-on execution. You will be expected to navigate organizational complexity, influence without authority, and drive alignment across diverse teams and leadership levels.

This is an embedded role within the Operations Innovation & Intelligence group, working in close partnership with Supply Chain, Logistics, Sourcing, Planning, Finance, Sales, and People teams — as well as cross-functional programs that involve stakeholders from across Samsara.

This role is 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:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will:

Change Management & Program Delivery

• Lead end-to-end change management for Operations initiatives and cross-functional programs — including system rollouts, process redesigns, organizational changes, and AI/automation deployments.
• Develop and execute change management strategies — including stakeholder analysis, impact assessments, resistance management plans, and adoption metrics — scaled to the breadth and complexity of each initiative.
• Partner with project teams across functions to ensure change management activities are integrated into program plans from day one, not bolted on at the end.
• Track and report on adoption and readiness KPIs, identifying risks and adjusting plans proactively.

Enablement & Training

• Design and deliver training programs that equip Operations teams to confidently adopt new tools, systems, and ways of working.
• Build scalable enablement assets including playbooks, quick reference guides, e-learning modules, and live training sessions.
• Partner with subject matter experts across Supply Chain, Logistics, Sourcing, Planning, Finance, and Sales to ensure training content is accurate, practical, and role-relevant.
• Develop Sales-specific enablement programs that support the adoption of new operational tools, processes, and data insights that impact revenue workflows, pipeline management, and customer delivery.
• Maintain a living library of enablement resources and ensure content stays current as systems and processes evolve.

Stakeholder Engagement & Communications

• Develop and execute communication plans that keep impacted teams informed, aligned, and engaged throughout the change lifecycle.
• Build strong relationships with functional leaders and frontline stakeholders across Samsara to surface adoption barriers early and co-create solutions.
• Facilitate working sessions, workshops, and feedback loops to drive alignment and continuous improvement.
• Act as a trusted advisor to Operations leadership on change readiness and organizational capacity for change.

Project Management & Program Operations

• Own projects end-to-end — from scoping and stakeholder alignment through execution, launch, and post-go-live stabilization.
• Manage multiple concurrent workstreams with discipline — maintaining clear project plans, milestone tracking, RAID logs, and status reporting.
• Define project scope, timelines, resource needs, and success criteria in partnership with functional leads and senior stakeholders.
• Proactively identify and manage risks, dependencies, and trade-offs across workstreams, escalating where appropriate.
• Establish repeatable change management and project delivery frameworks that can scale across the Operations organization and cross-functional programs.
• Partner with IT and external vendors as needed to coordinate program delivery.

Minimum requirements for the role:

• 5+ years of experience in change management, program management, or organizational effectiveness, with demonstrated exposure to Operations, supply chain, or similarly complex operational environments.
• Change management certification required (Prosci/ADKAR, CCMP, or equivalent).
• Demonstrated ability to run projects end-to-end — owning scope, timeline, resource coordination, stakeholder alignment, and post-launch stabilization with minimal oversight.
• Proven track record of leading change on large-scale system implementations or process transformation initiatives spanning multiple teams or functions, with measurable adoption outcomes.
• Experience working with ERP systems (e.g., NetSuite, SAP) and CRM platforms (e.g., Salesforce) in the context of change, training, or process design.
• Hands-on experience with project management tools (e.g., Jira, Asana, Smartsheet) to plan, track, and report on complex, multi-workstream programs.
• Strong written and verbal communication skills, including the ability to develop executive-ready materials, change impact assessments, and frontline training content tailored to diverse audiences.
• Proven ability to influence without authority, build trust quickly, and drive alignment across organizational boundaries and leadership levels.
• Experience designing and delivering scalable end-user training programs across multiple formats — including live sessions, e-learning, and self-serve reference materials.
• Highly organized with a track record of managing competing priorities across multiple concurrent workstreams without dropping the ball.
• Comfortable operating in ambiguous, fast-moving environments with a strong bias toward action and pragmatic problem-solving.

An ideal candidate also has:

• Bachelor's degree in Supply Chain, Operations Management, or a related field
• Familiarity with AI or automation tool rollouts and the unique change dynamics they create.
• Experience building enablement programs within a technology or hardware company.
• Experience establishing change management as a practice within a growing or scaling organization.
• You will help shape how Samsara scales through people-centered change and structured execution — building the project delivery capabilities, enablement programs, and adoption practices that make transformation durable across Operations and beyond.

About the role:

This is a founding AI/ML role in Samsara's Supply Chain organization—a rare 0-to-1 opportunity to build AI/ML capabilities from the ground up and own demand forecasting, inventory optimization, and supplier risk modeling end-to-end.

You'll design, develop, and deploy advanced machine learning and statistical models that optimize our global supply chain. From forecasting demand to modeling supply risk using real-time IoT signals, you'll apply cutting-edge techniques to solve complex problems with direct business impact.

What makes this unique:

• 11 years of untapped operational data — ERP systems (e.g. NetSuite, E2DP, Propel), IoT sensor streams, Salesforce, Slack, Gong call insights, and real-world hardware telemetry
• Own the full stack: modeling, MLOps, deployment, monitoring—build production systems that drive real business decisions
• Real hardware supply chain: Complex multi-tier supplier networks, lead times, high-stakes NPI ramps
• Direct executive partnership: Report to our SVP of Operations, collaborating cross-functionally with teams in Product, Engineering, Procurement, and Finance

You'll shape the team's roadmap, scientific agenda, and modeling standards. Ideal for a deeply technical IC who thrives in ambiguity, thinks strategically, and enjoys end-to-end ownership.

This role is open to candidates residing in the US & Canada.

Why this role matters:

Real-world impact at massive scale:

• Your forecasting models will help prevent supply shortages for customers in construction, utilities, transportation, and public safety—industries that literally keep the world running
• Optimize inventory for hardware deployed across 98% of US roads and 70+ billion miles driven annually
• Drive sustainability initiatives by reducing waste and improving supply chain efficiency across global operations

Unique technical challenges:

• Build demand forecasting systems for highly variable, seasonal SKUs with intermittent patterns and long lead times
• Model supplier risk using real-time IoT telemetry, geopolitical signals, and market data—not just historical sales
• Design cost optimization algorithms balancing inventory carrying costs, expedite fees, and revenue risk across multiple regions
• Create anomaly detection systems for cellular connectivity spend and supply chain disruptions using multimodal data

A data playground unlike any other:

• Access to 10+ trillion data points annually from connected operations
• Work with ERP data, IoT sensor streams, third-party market intelligence, and operational metrics
• Build features from unique real-world signals—vehicle diagnostics, utilization patterns, failure modes

You should apply if:

• You are motivated by impact: Your work will drive smarter, faster, and more sustainable supply chain decisions across Samsara’s operations.
• You combine scientific rigor with real-world pragmatism: You’re skilled at navigating trade-offs between model complexity, performance, and maintainability.
• You want to work on hard problems: You’ll help tackle forecasting volatility, cost optimization, anomaly detection, and more using large, noisy, high-dimensional datasets. 
• You are a self-directed leader: You identify analytical white space, set multi-quarter plans, and mentor others through influence.
• You enjoy building models that matter: Your solutions will be deployed in production, drive decisions, and be regularly evaluated against business KPIs.

In this role, you will:

• Define the end-to-end AI transformation roadmap for supply chain alongside the SVP of Operations, aligning with company OKRs and executive stakeholders.
• Design, train, validate, and deploy ML models to production (demand forecasting, inventory optimization, supplier risk scoring, cellular spend prediction), ensuring robust MLOps practices and measurable ROI.
• Build predictive models to forecast demand, lead times, and cellular spend across Samsara's global supply network.
• Create novel features using large-scale ERP, IoT, and third-party datasets; build pipelines and ETL jobs to serve models and stakeholders.
• Deliver production-grade code that supports both batch and real-time inference with MLOps best practices.
• Act as the AI liaison to Product, Engineering, Procurement, and Finance—ensuring alignment on data requirements, integration, and change management.
• Drive enhancements to our data infrastructure and analytics platform to support real-time model training, monitoring, and inference at scale.
• Mentor junior scientists through code reviews and collaborative project work.
• Act as a key scientific voice in roadmap planning, experimentation frameworks, and modeling strategy discussions.
• Identify gaps in data, tools, and processes—and lead initiatives to close them.
• Establish governance frameworks, documentation standards, and quality controls for model development, validation, and lifecycle management.
• Partner with Ops management to drive adoption of AI tools, define new processes, and train supply chain teams on insights-driven workflows.
• Hire, develop and lead an inclusive, engaged, and high-performing team.
• Champion Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally.

Minimum requirements for the role:

Experience & Education:

• 8+ years in applied data science or ML, ideally in supply chain, operations research, logistics, or manufacturing.
• Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or related technical field.

Core ML & Technical Skills:

• Expert in statistical modeling and ML: time series forecasting, optimization, anomaly detection, causal inference.
• Strong Python coding skills and fluency in SQL; proven experience developing and deploying production ML systems.
• Proficiency in MLOps practices: automated testing, CI/CD, model versioning, monitoring, performance tracking.
• Experience building real-time inference pipelines and managing GPU/TPU resources for training at scale.
• Familiar with data visualization tools (Tableau, Power BI) and cloud platforms (AWS, GCP, Azure).

Mindset & Collaboration:

• • Passion for operational excellence, cost efficiency, and scalable solutions.
  • Exceptional problem-solving, critical thinking, and communication skills—able to explain complex technical concepts to non-technical stakeholders.
  • Track record of collaborating cross-functionally and driving adoption of data-driven solutions.

An ideal candidate also has:

• Deep Statistical Expertise: Able to design and validate experiments (A/B, multi-armed bandits) and apply Bayesian methods for uncertainty quantification.
• Time-Series Mastery: Proven track record building advanced forecasting models (e.g., Prophet, LSTMs, Transformer-based) for intermittent demand and seasonal patterns.
• Cost Optimization Mindset: Skilled in profiling ML workloads and driving down cloud/GPU spend through model compression (quantization, pruning) and serverless architectures.
• Cross-Region Scaling: Demonstrated ability to deploy low-latency inference across multiple geographic regions with fail-over and disaster-recovery strategies.
• Vendor & Open-Source Savvy: Experience evaluating and integrating third-party ML platforms and contributing to or leveraging relevant open-source projects.
• Domain Expertise: Deep understanding of supply chain concepts (S&OP, IBP, safety stock, EOQ), ERP systems (SAP, NetSuite, E2DP, Propel), and inventory optimization theory. Ideal background in consumer electronics or B2B hardware manufacturing.

About the Role

We are looking for a curious, hands-on Operations Intelligence Co-Op to join our team. You will work alongside data scientists, engineers, and supply chain domain experts on end-to-end projects that span forecasting, automation, and decision support.

This is a role for students who enjoy getting their hands dirty: writing real code, exploring messy operational data, and seeing their work influence actual business processes across planning, procurement, fulfillment, and production.

This is a high-visibility, cross-functional position embedded within the Operations Innovation & Intelligence group.

This is a remote opportunity. This role is 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:

• Are pursuing a BS or MS in Computer Science, Data Science, Industrial Engineering, Supply Chain, Statistics, or a related field.
• Enjoy translating ambiguous real-world problems into structured analytical approaches.
• Have foundational programming skills in Python and an interest in ML or AI applications.
• You are excited to apply AI/ML within real-world operational contexts such as forecasting, inventory optimization, sourcing analytics, logistics intelligence, and revenue enablement.
• Communicate well and can explain your work to non-technical stakeholders.

In This Role, You Will:

AI Agent & Automation Development

• Assist in building or testing AI-powered tools that automate supply chain workflows (e.g., PO anomaly detection, logistics exception alerts).
• Help prototype lightweight bots or agents that connect internal tools and enterprise systems (ERP, planning platforms, Salesforce).
• Support evaluation and testing of LLM-based assistants for operational use cases.

Machine Learning & Analytics

• Contribute to ML model development for demand forecasting, inventory analysis, or risk detection.
• Explore and clean supply chain datasets; perform exploratory data analysis to surface insights.
• Build dashboards or notebooks that make model outputs accessible to business teams.

Cross-Functional Collaboration

• Partner with stakeholders in Planning, Procurement, Fulfillment, and Production Engineering to understand pain points and data needs.
• Participate in team standups, design reviews, and sprint ceremonies.
• Present findings and project updates to the team and business partners.
• Champion, role model, 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 we scale globally and across new offices.

Minimum Requirements

• Currently enrolled in an accredited BS or MS program (Computer Science, Data Science, Industrial/Supply Chain Engineering, Statistics, or related).
• Proficiency in Python for data analysis (pandas, NumPy, scikit-learn or equivalent).
• Familiarity with SQL or experience querying structured datasets.
• Comfort working with ambiguous problems and iterating toward solutions.
• Strong written and verbal communication skills.

Preferred Qualifications

• Coursework or project experience in machine learning, NLP, or operations research.
• Exposure to LLMs or generative AI tools (e.g., OpenAI, Anthropic Claude, LangChain).
• Familiarity with supply chain concepts: demand planning, inventory, procurement, or logistics.
• Experience with data visualization (Tableau, Power BI, matplotlib, Plotly).
• Prior internship, research, or project experience in a data-focused role.
• Knowledge of ERP systems (NetSuite, SAP) or CRM platforms (Salesforce) is a plus but not required.

What Success Looks Like

• Delivered a scoped project or feature that the team can build on after your rotation.
• Demonstrated ability to work independently while asking for help when needed.
• Clear and concise communication of findings to technical and business audiences.
• Curiosity, initiative, and a bias toward getting things done.

What You’ll Learn & Take Away

This co-op is designed to give you genuine exposure to applied AI/ML in an operational setting. By the end of your rotation, you can expect to:

• Have shipped or meaningfully contributed to a production-grade or production-bound AI/ML feature.
• Understand how AI and data science plug into real supply chain processes at a high-growth public company.
• Build a network across supply chain, engineering, finance, and operations functions.
• Walk away with a strong portfolio project and mentorship from experienced practitioners.