In this role, you will be the technical voice of the product to customers, partners, and the field. You will: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 P - Ms -- to refine the product, validate use cases, and drive launches. Minimum Qualifications. 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 Qualifications. 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 -