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Salary: USD 122,080 - 218,000 / annual
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations to harness IoT data for actionable insights across physical operations including agriculture, construction, field services, transportation, and manufacturing.
You will define the future of R&D Enablement at Samsara, translating how engineering, product, and design teams work into scalable learning products and enablement solutions. 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 all R&D levels
- Conduct discovery to identify critical capability, knowledge, adoption, and performance gaps
- Diagnose appropriate solutions (learning experiences, structured knowledge, workflow changes, automation, self-service tools, communities, manager resources)
- Stay current on emerging technologies, AI models, and developer tools; translate developments into practical recommendations for R&D adoption
- Build alongside R&D employees, technical leaders, Business Technology, Security, and external providers to move ideas from concept to scalable tools and workflows
- Translate complex technical concepts into learning products, developer-onboarding experiences, knowledge resources, playbooks, tools, automations, and communities
- Create and test functional prototypes using AI-assisted development, APIs, low-code platforms, and comparable technologies
- Develop clear product and program requirements, user stories, workflows, success criteria, and implementation plans
- Lead complex programs from discovery through launch and adoption, establishing ownership, milestones, dependencies, risks, and communications
- 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, creating clear ownership and reusable practices
- Provide guidance and mentorship to junior team members and partners, leading through expertise and influence
- Champion and embed Samsara's cultural principles as the company scales globally
Requirements:
- 8+ years in technical product management, technical program management, developer enablement, technical learning, learning technology, product enablement, or related field
- 5+ years working directly with software engineering, product, data, or AI teams to deliver technical products, programs, or enablement solutions
- Experience supporting Product, Engineering, Design, or highly technical organizations with credible understanding of how technical employees work
- Demonstrated ability to understand emerging technologies, developer tools, AI platforms, and technical workflows; translate into practical adoption and enablement strategies
- Experience partnering 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, APIs, integrations, low-code platforms, or comparable technologies
- Experience helping technical teams adopt AI-enabled tools and workflows, including identifying use cases, redesigning work, evaluating outputs, and establishing 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/stop recommendations
- Strong product and program leadership 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 candidate also has:
- 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 UX
- 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 formal authority
- Excellent written and verbal communication skills, ability to translate among technical, business, and learning audiences and influence senior stakeholders
