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Salary: CAD 140,000 - 192,500 / annual
Samsara (NYSE: IOT) is a publicly traded platform that enables organizations in physical operations—agriculture, construction, field services, transportation, manufacturing—to harness IoT data for actionable insights and operational improvement. The company is digitally transforming industries representing over 40% of global GDP.
You will define the future of R&D Enablement at Samsara, a strategic function that helps Product, Engineering, and Design teams build capabilities, access knowledge, and develop ways of working to deliver for customers. This is a senior, hands-on individual contributor role requiring movement between strategy, technical product understanding, learning-product design, and end-to-end program delivery.
Key responsibilities include:
- Define R&D learning-products and enablement strategy, roadmap, service model, and success measures by understanding needs across R&D employees and leaders at all levels
- Build trusted relationships across R&D and conduct discovery to identify critical capability, knowledge, adoption, and performance needs
- Diagnose appropriate solutions (learning experiences, structured knowledge, workflow changes, automation, self-service tools, communities, manager resources, or other interventions)
- Stay current on emerging technologies, AI models, and developer tools; translate developments into practical recommendations for R&D employees to use AI and agents, validate outputs, and determine where automation versus human judgment is appropriate
- Build alongside R&D employees, technical leaders, Business Technology, Security, enterprise AI teams, and external providers to move high-value ideas from concept to practical tools, workflows, prototypes, and scalable adoption
- Translate complex technical concepts into scalable learning products, developer-onboarding experiences, knowledge resources, playbooks, tools, automations, and communities
- Create and test functional prototypes, tools, and workflow automations using AI-assisted development environments, APIs, low-code platforms, and other technologies
- Develop clear product and program requirements, user stories, workflows, success criteria, and implementation plans for solutions requiring Engineering or Business Technology support
- Lead complex programs from discovery through launch and adoption, establishing clear ownership, milestones, dependencies, risks, communications, feedback loops, and decision points
- Make informed recommendations about what to build, configure, buy, integrate, transfer, scale, or stop
- Own and continuously improve R&D and developer onboarding
- Define outcome measures using adoption, behavior, capability, time-to-proficiency, self-service, efficiency, quality, and business evidence
- Serve as senior functional leader for R&D Enablement, creating clear ownership and reusable practices
- Provide guidance and mentorship to junior team members and partners, leading through expertise and influence rather than formal authority
- Champion and embed Samsara's cultural principles as the company scales globally
Requirements:
- 8+ years of experience in technical product management, technical program management, developer enablement, technical learning, learning technology, product enablement, or related field
- 5+ years of experience working directly with software engineering, product, data, or AI teams to deliver technical products, programs, or enablement solutions
- Experience supporting Product, Engineering, Design, or another highly technical organization and developing credible understanding of how technical employees work
- Demonstrated ability to understand emerging technologies, developer tools, AI platforms, and technical workflows and translate them into practical adoption and enablement strategies
- Experience partnering directly with engineers, technical leaders, and technology providers to understand product capabilities, implementation considerations, dependencies, and tradeoffs
- Hands-on experience creating functional prototypes, tools, workflow automations, or self-service solutions using AI-assisted development environments, APIs, integrations, low-code platforms, or comparable technologies
- Experience helping technical teams adopt AI-enabled tools and workflows, including identifying appropriate use cases, redesigning work, evaluating outputs, and establishing appropriate human judgment and oversight
- Experience translating business and user problems into product requirements, user stories, workflows, success criteria, implementation plans, and scalable solutions
- Experience defining strategy and roadmaps in ambiguous environments, prioritizing portfolios, and making build, configure, buy, integrate, or stop recommendations
- Strong product and program leadership, including managing interdependencies, delivery risks, competing priorities, and decisions across teams you do not directly manage
- Experience designing and scaling learning products, technical onboarding, knowledge solutions, developer education, or adoption programs
Ideal candidates also have:
- Experience leading developer onboarding, developer education, engineering enablement, developer advocacy, or technical community programs
- Experience with generative AI, developer-focused AI tools, retrieval-augmented generation, knowledge architecture, enterprise search, agentic workflows, or conversational user experiences
- Experience working with external technology providers to design and scale product-adoption or enablement programs
- Experience creating product requirements, process flows, integration requirements, technical documentation, or comparable delivery artifacts
- Familiarity with adult-learning principles, performance consulting, learning-product design, or partnering with instructional and learning-experience designers
- Portfolio of learning products, prototypes, internal tools, automations, knowledge solutions, or technical programs demonstrating hands-on building and measurable impact
- Experience establishing or materially redesigning a technical learning, developer enablement, learning-product, or internal-product function
- Experience measuring adoption and effectiveness and using evidence to determine whether a product or program should continue, change, scale, transfer, or stop
- Demonstrated ability to lead through influence, provide functional direction, and create clarity and accountability across contributors without relying on formal authority
- Excellent written and verbal communication skills, with ability to translate among technical, business, and learning audiences and influence senior stakeholders
