Verkada
Lead Product Manager, Intercom Calling
$205K–$240K
San Mateo, CA United States +1 · Manager · Full-time · Posted Oct 26, 2026
- Location
- San Mateo, CA United States
San Mateo, California, United States - Experience
- 8+ years of product management experience.
- Education
- Undergraduate degree in computer science, electrical engineering, or a similar quantitative field. An MS, MBA, or equivalent experience is a plus but not required.
- Visa sponsorship
- Verkada sponsors and takes over sponsorship of employment visas for this role and will make every reasonable effort to get a visa if an offer is made.
About the job
Own the end-to-end product strategy and delivery for Verkada Intercom calling, including call reliability, routing, caller context and controls, and AI-powered responses.
What you'll do
- Define the calling and routing roadmaps, improving reliability and delivering consistent experiences across endpoints and network conditions.
- Build call context, controls, and voice AI capabilities, with quality measurement, human escalation, and safety guardrails.
- Lead customer discovery and product execution from strategy and prioritization through launch, partnering with engineering, design, marketing, and sales.
What they ask for
- 8+ years of product management experience.
- Track record building and scaling complex enterprise software products.
- Undergraduate degree in computer science, electrical engineering, or a similar quantitative field.
- Must be willing and able to work onsite five days per week at the San Mateo, CA HQ.
Nice to have
- Technical knowledge of SIP and/or WebRTC, or audio processing and acoustics.
- Experience shipping voice AI or conversational agents; background in physical security, access control, video surveillance, emergency dispatch, or IoT hardware.
Pay
$205,000 — $240,000 USD annual on-target earnings (OTE) range; comprised of base compensation and commissions (if applicable)
Tools
iOS, Android, PSTN, VoIP, SCIM, SIP, WebRTC, STUN/TURN
AI focus
Identify, prototype, and launch voice AI use cases to automate responses; define escalation rules and safety guardrails; and measure quality through accuracy, latency, observability, and model evaluations.
Model-written summary · the original posting is authoritative