Senior Director of Product Management, Models and Data

The Large Geospatial Model is Niantic Spatial's foundation model of the physical world. It learns from years of real-world captures of millions of places, and people, robots and AI agents use it to find out where they are, what is around them and what has changed. You will be the first product leader for the model and the data it learns from, reporting to the Chief Product Officer. You decide which capabilities it gains and in what order, the bar each release has to clear, and what data Niantic Spatial collects, licenses or partners for to get there.

Responsibilities

Own the Model Roadmap, deciding the order in which the Large Geospatial Model gains its next capabilities based on what industrial, defense, robotics and platform customers will pay for; Set the Release Bar by defining evals and acceptance criteria for each capability with the Real-World Test Lab and deciding whether each release ships; Own the Data Plan, deciding what data Niantic Spatial collects, buys, licenses or gets through partners, and setting curation, labeling, consent, privacy and training-rights requirements; Turn Capabilities into Products by deciding when a new model capability is ready to become something customers buy; Set the Long-Term Direction for how the model moves from describing places to tracking change and anticipating what comes next

Requirements

8+ years in product management, including at least three years shipping a large model to users or customers; Experience writing evals for a model and using them to decide when a release was ready; Direct work on training data, such as setting a data mix, running labeling or human-feedback programs, or negotiating data licenses; Enough depth in how large models are trained, post-trained and evaluated that researchers bring you into their technical decisions; Experience setting direction for research and engineering teams that did not report to you; A bachelor's degree in computer science, engineering, or a related field, or equivalent experience

Nice to have

Experience in 3D computer vision, reconstruction, localization, mapping, geospatial data, robotics or autonomous systems; An advanced degree in machine learning, computer vision, robotics, or a related field; Experience with Gaussian splatting, neural fields or visual positioning systems; Experience with government or defense requirements for data provenance and security

Benefits

Annual bonus; Equity; Comprehensive benefits package