Technical Training & Enablement Manager - Technology Vendor
- $150,000–$250,000 base + stock options
- Santa Clara, California, United States
- Permanent
- 250000
- Artificial Intelligence
- AI Data Center
Looking for a role with plenty of growth opportunities?
Join a leading provider of network automation and multi-tenancy solutions for AI infrastructure. Trusted by AI cloud providers and platform operators, the organization delivers scalable networking technology that enables modern AI infrastructure through automation and simplified network management.
This company is seeking a Technical Training & Enablement Manager to build and lead its customer and partner training program. The role works across Product, Customer Success, and Sales to develop scalable technical enablement for network engineers, platform architects, and cloud operators while ensuring training evolves alongside the platform.
Don’t miss out on this exciting opportunity and apply today!
Responsibilities:
- Build and maintain the full training library: structured curricula, hands-on labs, demo environments, and reference guides for customers and channel partners
- Deliver live training sessions, onboarding walkthroughs, deep-dive workshops, and partner certifications, tailored to technical and semi-technical audiences
- Own the demo experience: configure, run, and evolve live product demos that map to real customer infrastructure scenarios
- Partner with Product to stay ahead of the roadmap, translating new capabilities into updated training materials before GA
- Run post-training surveys and track learning outcomes; use the data to close gaps and improve the program continuously
- Serve as a customer advocate internally, surfacing recurring questions, confusion points, and feature requests back to Product and Engineering
Skills/Must Have:
- Have built and delivered technical training for infrastructure software, networking, cloud platforms, data center operations, or AI compute
- Can navigate a product with real depth: you understand how networks are built and operated at scale, and you're comfortable in hands-on lab environments
- Have created training collaterals from scratch, curated for customer specifics
- Are fluent in product management lifecycles and know how to stay aligned with a fast-moving roadmap
- Run structured training programs: you use frameworks, track completion, gather feedback, and iterate
Desirable Skills:
- Hands-on experience with modern network OS platforms: Cumulus Linux, SONiC, or Arista EOS, and an understanding of how disaggregated networking differs from legacy appliance models
- Working knowledge of core network architectures: BGP, VxLAN, Clos fabrics, VPNs, NAT, stateful firewalling, and load balancing across IPv4/IPv6 environments; you can explain these to a customer, not just name-drop them
- Familiarity with AI infrastructure concepts: GPU clusters, InfiniBand, NVLink, and RoCEv2 including lossless Ethernet requirements (PFC, ECN), and how the network layer directly affects training performance at scale
- Grounding in software design principles: you understand APIs, control planes vs. data planes, and how infrastructure software is architected; you don't need to write production code, but you can read it
- Experience with partner and channel enablement in addition to direct customer training
- Came from a high-growth organization and know how to build a program without a template
Location & Working Pattern:
- Santa Clara, CA preferred; remote considered for exceptional candidates.
Benefits:
- Medical insurance
- Vision insurance
- Dental insurance
- 401(k)
- Disability insurance
- flexible PTO.
- Build the training function from the ground up, defining the frameworks, curriculum, and standards from day one
- Work closely with Product and Engineering, with visibility across the go-to-market organisation to influence both customer education and product development
- Gain exposure to cutting-edge networking and AI infrastructure technologies, including GPU clusters, disaggregated network operating systems, and lossless Ethernet
Salary:
- $150,000–$250,000 base + stock options