Niantic Spatial, Inc.

Artificial Intelligence

• Own day-to-day operations for geo data, scanning, and labeling programs that power AI models and mapping products.
• Ensure data workflows run efficiently, on time, and at the right cost/quality bar across internal teams and vendors.
• Maintain rigorous data tracking and inventory so stakeholders clearly understand what data exists, where it lives, and its readiness and constraints.
• Plan and manage large-scale field capture programs using 360 cameras, RGB LiDAR, and drones, including complex urban mapping operations and targeted customer captures.
• Coordinate surveyors and vendors to execute capture schedules, resolve in-field issues, and maintain safety and compliance standards.
• Keep up to date with the latest mapping processes and their impact on scanning requirements; contribute field insights into the evolution of Niantic’s Photon devices and capture tooling.
• Execute direct, internal data capture when required by specific security protocols, data sensitivity, or when the project scale does not necessitate external vendor mobilization.
• Act as the primary operational point of contact for key external partners such as capture vendors and annotation vendors, and for strategic customer programs.
• Translate customer and internal stakeholder needs into clear scopes of work, SLAs, and procedures for vendors; monitor performance and drive continuous improvement.
• Manage labeling operations to provide research, ML, and product teams with high-quality labeled datasets, including defining taxonomies, guidelines, and QA processes.
• Distill customer requirements into precise labeling instructions and workflows; balance quality, time, and cost tradeoffs and communicate them transparently.
• Lead multi-month, multi-vendor operations such as large-scale drone and 360 capture campaigns (e.g., city-scale mapping projects and DroneToGround dataset expansions).
• Identify and manage risks, issues, and escalations across all active programs, ensuring stakeholders understand options and tradeoffs.
• Develop and execute continuous improvement plans for tools, workflows, metrics, and reporting to increase efficiency and reliability over time.
• Represent AI data operations in cross-functional forums with Product, Engineering, Research, Legal, Finance, Procurement, Security, and GTM teams.
• Partner with Legal on data privacy, GDPR/DSA compliance, and data usage governance for customer and internal datasets.
• Manage budgets and resources for scanning and labeling operations, including forecasting capacity and making resourcing recommendations.

AI Data Operations Manager

Full-stack Engineer

• Actively translate top-tier research papers into production-grade features within our tech stack.
• Lead the design and implementation of 3D reconstruction pipelines, focusing on Structure from Motion (SfM) and high-fidelity mesh generation as well as 3D gaussian splats.
• Develop and optimize Gaussian Splatting quality algorithms and general ML code for high-performance execution on CPU and GPU.
• Write and maintain high-performance, shader-based production code in C++ for Android and Linux environments.
• Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.
• Partner with the Research and Spatial Solutions teams to turn strategic goals into actionable plans.
• Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.

Technical Lead, Computer Vision

Backend Engineer

• Own the Mobile Architecture: Design the mobile SDK to be robust, high performance, and intuitive to use for internal and external client developers.
• Productionizing the cutting edge: Prototype and validate the latest state of the art developments from Niantic Spatial’s research teams, then productionize these features by working with product teams and iterating them into the SDK.
• Samples and experiments: Implement first-party examples and demos that showcase the capabilities of the SDK and serve as reference implementations for common use cases.
• Go-to Kotlin Expert: Provide design feedback, code review and advocate for best practices and modern design patterns for Kotlin and Android products at Niantic Spatial.
• Collaborate with partners: Work closely with research, the c++ SDK team from the upstream, as well as internal client developers and external customers downstream to build a successful SDK.

AI Data Operations Manager

Technical Lead, Computer Vision

Senior Mobile Native Engineer, Kotlin