VergeSense

Senior Product Manager, Decision Intelligence

Remote - US · Senior

Sponsorship not specified$150k-$204kDetected 103 days ago

Product ManagementExcelHRISCommunication

About the role

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.
We are the industry leader in workplace intelligence, with a sensor platform covering millions of square feet across Fortune 2000 enterprises.

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.
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.
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.
You will set the automation boundaries and design the human review experience.
Build products that work with messy enterprise data.
You will design for the reality that clean data is the exception.
This is a hands-on building role with real commercial pressure and named enterprise accounts waiting for the product.
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.

Experience with prioritization under commercial pressure.
You know how to sequence a roadmap against named deals and pipeline value, not just user needs.
You have taken a complex, multi-step manual workflow and shipped a product that meaningfully automated it.
You can evaluate model outputs, catch wrong answers, and translate data quality problems into product decisions.
You have presented to C-suite or board-level audiences.

Competitive compensation and equity
Employer-sponsored medical
Open Vacation policy: take time off when you need it
vision, customer discovery, roadmap, engineering partnership, and commercial outcome.
take time off when you need it
Dental and vision insurance (dependent on location)

The workplace has undergone a complete transformation.
Historically, occupancy was consistent; everyone worked in the office five days per week.
But in today's world, occupancy is inconsistent, unpredictable, and dynamic, as work has become more flexible than ever before.
To make decisions with confidence, workplace, CRE, and facilities management leaders need a true understanding of how and when their spaces are used.
VergeSense is the company behind the world's first and only Occupancy Intelligence Platform.
Over 220 companies across 50 countries and 140M sqft rely on occupancy intelligence to make confident, fact-based optimization decisions to improve employee experience and decrease costs.
VergeSense customers use our Occupancy Intelligence Platform, which is built on a foundation of the industry's most accurate occupancy sensors and other data sources, to right-size their portfolio, validate space planning and designs, optimize cleaning operations, and ensure their teams can always find spaces to work.
The Opportunity
which floors to consolidate, how to redesign space after a reorg, when to trigger a restack before the problem becomes urgent.
CRE teams pull data from multiple disconnected systems, build scenarios in spreadsheets, and deliver recommendations that are already stale.
VergeSense is changing that.
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.

This listing is sourced directly from VergeSense's careers page and normalized into a canonical job model.