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Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property — all from a smartphone scan in minutes. At Hover, our Computer Vision (CV) team turns raw imagery into structured data fueling the most advanced property intelligence platform in the world. To scale this system, we’re hiring a Technical Operations Lead who will own the orchestration and execution of our CV/ML workflows in production, especially where human-in-the-loop (HITL) feedback is critical. You’ll partner directly with CV engineers to bring algorithms to life in production environments that involve humans, tools, QA layers, and feedback loops. Your superpower is driving operational scale without compromising quality. We operate at the scale of millions of properties per year. This role is critical to making that scale possible by translating cutting-edge models into reliable, efficient, and scalable systems that blend automation with human expertise.
Job Responsibility:
Partner closely with the CV and ML teams to design and execute the production deployment of computer vision models in environments involving human input, correction, or QA
Manage the day-to-day operations of complex workflows, combining automated steps with HITL components—ensuring reliability, speed, and consistent performance
Design, scale, and refine quality control systems for CV outputs, leveraging both automation and human validators
Drive operational feedback loops: analyze performance data, identify failure patterns, and partner with engineering to inform model improvements or workflow tweaks
Act as the bridge between CV engineering and our operations/QA teams, translating technical model behavior into actionable operations strategies
Own and monitor pipeline health, triaging breakdowns, and driving resolutions across human + machine steps
Propose and lead continuous improvement projects across tools, metrics, vendors, or staffing strategies
Requirements:
4+ years of experience in technical program management, ML operations, or production deployment of CV/ML systems—especially involving human-in-the-loop pipelines
Strong grasp of ML lifecycle basics, including model limitations, data annotation requirements, and edge case handling
Deeply operational: you’ve run, scaled, and improved complex, multi-step systems where quality and speed matter
Know how to work across functions—engineering, product, and ops—and can keep all parties aligned through ambiguity
Metrics-driven and detail-oriented, with a sharp eye for where workflows break down and how to fix them
Thrive in fast-paced environments and love being the person who makes the machine run smoother every day
What we offer:
Competitive salary and meaningful equity in a fast-growing company
Comprehensive medical, dental, and vision coverage for you and dependents
Unlimited and flexible vacation policy
Generous paid parental and new child bonding leave
Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
Recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
Encouraged continued education and will help cover the cost of management training, conferences, workshops, or certifications