Technical Content Delivery Manager

Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. 

We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.

You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. 

As a Technical Content Delivery Manager on the Solutions Engineering (SE) Enablement team, you will drive the platform strategy, content curation, and discoverability architecture for technical enablement assets across the global SE organization. In this role, you will report directly to the Director of Solutions Engineering Enablement and own the end-to-end administration and data organization structure of our Learning Management System (LMS) powered by HighSpot.

You will bridge the gap between complex product engineering and field readiness, leveraging a strong understanding of Verkada's physical security platform to design intuitive content hierarchies. By collaborating with IT/Data teams on AI best practices, you will optimize semantic searchability while owning the advanced analytics, feedback loops, and deprecation workflows necessary to maintain a pristine, high-impact technical repository.

• →LMS Data Architecture & Ownership: Manage and optimize the HighSpot LMS as the "single source of truth" for the global SE organization. Design, implement, and govern the foundational data organization and folder structure, ensuring it aligns logically with Verkada’s product matrix (Command, Cameras, Access Control, Environmental Sensors, Alarms, Workplace, Intercom, and Audio).
• →Multi-Tiered Learning Delivery: Structure, tag, and deliver targeted content across three primary learning modalities to support the entire SE lifecycle:

• →Onboarding (New Learn): Curate foundational technical paths to accelerate time-to-productivity for new hires.
• →Continuous Education (Re-Learn): Maintain accessible skill-refresher materials and technical deep-dives to support ongoing technical mastery.
• →Just-In-Time Learning: Architect high-velocity, deal-specific content frameworks that allow SEs to instantly surface technical proof points required for upcoming customer meetings or field events.

• →AI Collaboration & Search Optimization: Partner with internal IT and Data teams to implement AI best practices, automated tagging, and semantic search configurations within HighSpot. Ensure technical documentation, demo scripts, and training assets are contextually discoverable based on real-time field queries.
• →Advanced Content Analytics & Reporting: Own the metrics, reporting dashboards, and performance analysis for all LMS content. Actively track search behavior, content consumption, and asset utilization to highlight highly utilized, high-benefit material to leadership while identifying operational skill gaps.
• →Content Lifecycle & Feedback Governance: Establish and execute a strict deprecation workflow to regularly remove outdated assets and prevent stale information from circulating in the field. Implement and manage a structured field feedback mechanism, including:
• →Instant Signaling: A thumbs up/down framework for real-time validation of content applicability.
• →Formal Correction Pipelines: A closed-loop triage process for the field to flag, review, and execute content updates regarding grammatical errors and technical accuracy.

• 5+ years of combined experience in Technical Enablement, Content Management, or Content Architecture within enterprise SaaS, IoT, hardware, or networking industries.
• Strong technical foundation in cloud networking, enterprise IT infrastructure, and physical security platform architecture to understand and categorize technical subject matter effectively.
• Direct, hands-on experience administering enterprise content management repositories or LMS platforms (HighSpot experience highly preferred).
• Proven track record collaborating with IT, data science, or engineering teams to leverage AI analytics, conversation intelligence, or semantic search optimization.
• Demonstrated capability building data schemas, document classification frameworks, evaluation rubrics, and highly organized visual hierarchies.
• Exceptional cross-functional leadership skills with the ability to serve as the structured voice-of-the-field, managing feedback loops and change management protocols across technical teams.

• You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time

• This role requires that you be based out of Verkada HQ in San Mateo, CA and on-site 5 days a week. Occasional travel to partner locations, regional offices, and industry events is expected.

As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

Your application will be handled in accordance with our Candidate Privacy Policy.