Engineering Manager, Atlas (spatial Systems)

Verkada · Enterprise · Bayoffice · Core Services

Engineering Manager to lead the creation of a new Spatial System (Atlas) for Verkada, focusing on building a platform for rendering, tiling, and collaborative APIs. The role involves zero-to-one execution, platform architecture design, data ingestion strategy using ML, hiring and mentoring a team, and stakeholder partnership. Requires experience in building sophisticated data pipelines with ML for unstructured data, and leading complex UI development.

What you'd actually do

  1. Zero-to-One Execution: Act as a "Player-Coach" to build the V1 of our Spatial System from the ground up. You will own the initial delivery of our image pipeline and set the technical standards for our collaborative editing protocols.
  2. Platform Architecture: Lead the design of a modular, plugin-based architecture. You will define the SDKs and APIs that allow 8+ Product Teams (Cameras, Access Control, Alarms, etc.) to overlay their specialized data onto our maps seamlessly.
  3. Data Ingestion Strategy: Oversee the development of the systems that transform unstructured source data—blueprints, CAD files, and high-res imagery—into clean, topologically sound vector data using ML and automated processing.
  4. Hire & Mentor: Build the founding Atlas team from scratch (4-6 engineers). You will establish the engineering culture, from code review standards to architectural RFC processes, focusing on high-performance graphics and spatial math.
  5. Stakeholder Partnership: Act as the primary technical diplomat for the Maps mandate. You will negotiate technical boundaries with other Product EMs to ensure a unified user experience across the entire [Company Name] suite.

Skills

Required

  • Experience building sophisticated data pipelines that handle unstructured data at scale
  • Experience with ML or complex geometric algorithms for data transformation
  • Experience leading the development of highly complex, state-heavy web or mobile applications
  • Deep understanding of modern frontend architectures (React, WebGL/WebGPU, Swift/Kotlin)
  • Experience in a zero-to-one build environment
  • Ability to translate high-level vision into tangible platform
  • Experience building and managing engineering teams
  • Experience defining SDKs and APIs
  • Experience with high-performance graphics and spatial math

Nice to have

  • Experience with cloud physical security platforms
  • Experience with spatial systems, rendering engines, or tiling infrastructure
  • Experience with collaborative editing protocols

What the JD emphasized

  • transform unstructured source data—blueprints, CAD files, and high-res imagery—into clean, topologically sound vector data using ML and automated processing
  • experience building sophisticated data pipelines that handle unstructured data at scale
  • high-ambiguity phase of a zero-to-one build
  • shipping high-utility foundations over perfect abstractions
  • translate a high-level vision into a tangible, functioning platform in weeks, not months

Other signals

  • building V1 of spatial system from ground up
  • transform unstructured source data into clean, topologically sound vector data using ML and automated processing
  • experience building sophisticated data pipelines that handle unstructured data at scale