Each year, more than 7,500 pedestrians are killed by drivers in the U.S.—a number that has increased by 70% over the past decade. Despite growing awareness, most cities still struggle to curb dangerous driving. “Vision Zero” efforts across the country are falling short.
Obvio AI exists to change that.
We deploy solar-powered, AI-assisted cameras to enforce traffic laws where pedestrians are most vulnerable—automating enforcement in ways that police departments or traditional systems cannot. Our approach has already led to a dramatic reduction in reckless driving and improved safety for pedestrians, drivers, and law enforcement alike.
Founded by the team behind Motive’s AI dashcam, Obvio is backed by Bain Capital Ventures and Khosla Ventures. We recently raised a $22M Series A and are working with some of the most forward-thinking cities in the country. With meaningful revenue, a massive market, and strong policy momentum, we’re building the intelligence layer for safer streets globally.
As the TPM for Annotation Systems, you will lead the cross-functional delivery of the infrastructure and workflows that power Obvio AI’s human-in-the-loop enforcement systems. You will sit at the intersection of Operations, Engineering and Computer Vision to ensure that our annotation processes are secure, high-throughput, and high-fidelity.
Your mission is to improve the overall accuracy and throughput of our annotation process, deliver new annotation workflows that support new products, drive the roadmap and execution for internal reviewer tooling, and deliver continuous improvement systems for both the people and machine learning. You will ensure that as our pole deployments scale, our technical systems for data review stay ahead of the volume.
Performance Metrics: Develop and monitor technical dashboards for pipeline throughput, latency, and system-level SLAs to identify and resolve bottlenecks that limit performance.
Procedure Development & Maintenance: You will be responsible for developing and updating SOPs for dozens of annotators (scaling up to hundreds of annotators), improving the quality of the overall performance, and driving launches of new products and workflows.
Program Delivery: Manage the end-to-end lifecycle of annotation features, from initial scoping and design reviews to deployment across scaling city jurisdictions.
Systemic Quality Control: Design and implement technical logic for automated QA workflows, including double-blind reviews, "golden dataset" calibration, and adjudication.
Product Roadmap & Tooling: Define the product requirements for internal annotation tools, bridging the gap between operational needs and engineering execution.
Security & Compliance: Ensure all review workflows meet data privacy standards through fine-grained access controls and technically auditable data handling.
Coordinating across timezones: Our teams manage multiple timezones, making it important to be efficient and effective in meetings and asynchronous communication.
Proven TPM Experience: 5+ years of experience managing complex technical programs, specifically focused on data pipelines, human-in-the-loop (HITL) workflows, or machine learning operations.
Analytical Proficiency: Strong technical literacy with SQL and data visualization tools to independently pull metrics, identify throughput bottlenecks, and monitor SLA performance.
Quality Systems Expertise: Demonstrated experience designing and scaling QA frameworks such as inter-annotator agreement logic, "golden dataset" calibration, and adjudication workflows.
Operational Scoping: Ability to translate legal/safety requirements into both technical product specs for engineers and standardized SOPs for large-scale reviewer teams.
Regulated Environment Success: Experience working in a high-stakes, security-conscious field (e.g., GovTech, Autonomous Vehicles, or Fintech) with a focus on PII handling and auditable workflows.
Your work will help save lives and improve road safety
Series A of $22M led by Bain Capital
Fast-moving startup environment with meaningful ownership
Competitive compensation and early-stage equity
Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.