Every large company makes high-stakes decisions about their physical workplaces: which floors to consolidate, how to redesign space after a reorg, when to trigger a restack before the problem becomes urgent. Today, those decisions are made slowly, manually, and often too late. CRE teams pull data from multiple disconnected systems, build scenarios in spreadsheets, and deliver recommendations that are already stale.
VergeSense is changing that. We are the industry leader in workplace intelligence, with a sensor platform covering millions of square feet across Fortune 2000 enterprises. Our Large Spatial Model is trained on billions of data points and years of behavioral data, giving us an understanding of how people actually use space that no one else has.
Our Predictive Planning product turns that intelligence into decisions, compressing multi-step manual planning and operational workflows into AI-assisted experiences for corporate real estate teams.
We are hiring a Senior Product Manager to own one of these workflows end-to-end. The PM who thrives here is someone drawn to the full problem space: how enterprises make decisions about physical space, where AI can replace broken manual processes, and what it takes to build trust in AI-generated recommendations at the enterprise level.
What You Will Do
Own a planning or operational workflow end-to-end: vision, customer discovery, roadmap, engineering partnership, and commercial outcome.
Define where AI stops and the human decision starts. Our agents are goal-seeking systems that detect planning triggers, assemble data, and generate scenarios. You will set the automation boundaries and design the human review experience.
Build products that work with messy enterprise data. HRIS feeds, badge systems, lease records, and occupancy sensors all tell part of the story. You will design for the reality that clean data is the exception.
Ship the first version within your first two quarters. This is a hands-on building role with real commercial pressure and named enterprise accounts waiting for the product. You will be in the tool daily, not managing from a distance.
Partner closely with the existing product team. You will work alongside a strong GTM-oriented PM and a design leader who together own adjacent workflows.
What This Role Requires
6+ years of product management experience in B2B SaaS, with demonstrated experience owning data-intensive or analytics products.
You have taken a complex, multi-step manual workflow and shipped a product that meaningfully automated it. This is the single most important signal we are looking for.
Experience building products that involve data from multiple enterprise systems. You understand that clean data is the exception and you design for the failure modes.
Demonstrated ability to own a product domain end-to-end: vision, discovery, roadmap, engineering partnership, and commercial outcome.
Quantitative fluency. You define success metrics before building. You can evaluate model outputs, catch wrong answers, and translate data quality problems into product decisions.
Executive communication quality. You lead with the recommendation. You have presented to C-suite or board-level audiences. You produce tight decision documents, not exploratory overviews.
Experience with prioritization under commercial pressure. You know how to sequence a roadmap against named deals and pipeline value, not just user needs.
VergeSense Mountain View, California, USA Office
148 Castro Street, Mountain View, CA, United States, 94041
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