Responsibilities

• Own the technical narrative, shaping how customers and the market understand our value.
• Build and deliver hands-on demos and proof-of-concept environments that bring the product to life for customers and partners.
• Lead customer engagements, executive briefings, and technical presentations that articulate the solution and it's differentiation.
• Create field- and customer-facing technical collateral -- solution briefs, white papers, deployment guides, and competitive positioning documents -- to arm Sales and partners for success.
• Influence the product roadmap by translating customer feedback, competitive analysis, and industry trends into actionable input for Product Management and Engineering.
• Develop training materials and enablement content to scale product knowledge across Sales, Systems Engineering, and partner communities.
• Work cross-functionally in a fast-paced, iterative cadence -- directly with engineers and PMs -- to refine the product, validate use cases, and drive launches.

Requirements

• Bachelors + 8 years of related experience, or Masters + 6 years of related experience, or PhD + 3 years of related experience, or equivalent related work experience
• Solid hands-on experience with networking fundamentals
• Experience with at least one major cloud provider (AWS, Azure, or GCP)
• Demonstrated ability to engage customers and present to both technical and business audiences.
• Track record of building demos, POC environments, or lab setups to support customer evaluations.
• Strong technical writing skills with experience producing white papers, solution briefs, or deployment guides.
• Prior experience as a Technical Marketing Engineer, Solutions Architect, or Systems Engineer.
• Based in San Jose / Bay Area; hybrid role requiring 3-4 days per week in office.

Preferred

• Strong background in analyzing multicloud networking industry trends and competitive landscapes
• Hands-on proficiency with modern coding assistants (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate technical workflows.
• A willingness to continuously learn and adapt, crucial in the ever-evolving field of AI