Senior Workplace Strategist - AI-Native Occupancy Planning

We're looking for a seasoned occupancy planning / workplace strategy practitioner who's great at the craft - and a little tired of how it's done. Tired of utilization studies built on badge swipes and two-week observations. Tired of strategy decks that are stale the day they ship. Tired of spreadsheets standing in for a real model.

We're building the data-backed tools that change that - a proprietary AI model trained on 200M+ square feet of real spatial data - and we want a practitioner who knows this work cold to come help define what it looks like done right.

This is a hands-on, senior individual-contributor role. You'll be reshaping how Occupancy Planning is done in an AI native world.  

Every large enterprise spends real money each year on workplace strategy: utilization studies, stack and restack planning, consolidation analysis, RTO policy modeling, portfolio optimization. Most of it is delivered as a point-in-time engagement built on incomplete data.  

VergeSense already runs the continuous sensing and spatial intelligence layer inside many of the world's largest workplaces.  Supported by the largest, highest quality occupancy dataset in the world - deployed over 250M sqft - our Large Spatial Model (LSM) turns that data into decision-grade recommendations - continuously, with benchmarks no single firm could assemble manually.

What we're missing is a true practitioner who can put that engine to work the way only someone who's lived this discipline can. Someone who can take the questions a Head of Workplace actually asks and answer them with live, model-backed strategy instead of a snapshot.

In this role, you’ll have a unique opportunity to direct this model into the occupancy planning workflows that Fortune 2000 customers rely on for major decisions.  Your judgment, your client instinct, and your craft are exactly the point - the tools just finally let you do the work at a scale and speed the old toolset never could.

• Do the work, at a new level. Run occupancy planning and workplace strategy analysis - supply/demand modeling, sharing ratios, neighborhood and activity-based planning, restack and consolidation scenarios, lease-event decision support - using continuous data and AI-native tooling.

• Shape the methodology. Turn occupancy planning craft into repeatable, model-driven workflows that hold up across customers at scale

• Define the deliverable. Help us shape what a continuous, board-ready space strategy looks like when it's generated from live data - the thing that used to take a consulting team six weeks.

• Inform the product. Partner closely with product and data teams to push the LSM toward the questions real workplace leaders care about. You're the practitioner in the room.

• Be credible with customers. Sit with Heads of Workplace and CRE leaders as a peer who has done their job - and show them a better way.

• Deep, hands-on experience in occupancy planning, workplace strategy, or corporate real estate advisory - likely built inside a CRE services or workplace consulting practice.

• You've personally run utilization studies, stack/restack and consolidation projects, scenario and supply/demand planning, and portfolio optimization - and you know exactly where today's data and tools fall short.

• Fluent in CAFM/IWMS environments, space data, and the workflows of large enterprise real estate teams.

• Genuinely energized - not threatened - by AI and data as force multipliers for your craft. You want leverage, not a title.

• Someone who'd rather help reinvent how this work is done than keep doing it the old way.

• Comfortable both in the data and in the executive room.

The data, the model, and the market are all ready at the same time. For the right practitioner, this is the rare chance to take everything you know about how this work should be done and actually do it - backed by an engine no consulting firm can match. You won't be building slideware about transformation. You'll be the one doing the transformed work.

• Location: Remote (US), with flexibility to gather with the team.

• Compensation: Competitive base + meaningful equity. [Insert range per policy / state requirements.]

• Level: Senior individual contributor.