AI use among architectural and engineering managers is little observed so far. Measured exposure for architectural and engineering managers: 3% (little observed).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Simbe builds Tally, an autonomous shelf-scanning robot deployed at fleet scale in enterprise grocery and retail. Tally is a ROS-based robotics platform paired with edge and cloud AI/computer vision, a cloud data platform, and retailer-facing reporting systems, spanning multiple hardware generations and product lines (mobile, fixed, RFID). Delivering a release means coordinating hardware, on-robot software, AI models, and cloud systems simultaneously, on a schedule where the finish line is a working robot in a real store, not a demo.

We're hiring a Technical Program Manager to be the connective tissue across this system: the person who can see the full dependency graph, from a hardware decision through the robot's software stack, through the AI model, through the cloud pipeline, to what a retail partner sees on their dashboard, and make sure nothing falls through the seams between teams.

What you'll own

The cross-functional schedule for Simbe's highest-stakes programs: new Tally generation launches, fleet-wide software/hardware migrations, and large retail rollouts with hard external dates

Integration checkpoints wherever domains meet: hardware-to-ROS (on-robot software), CV model deployment onto the robot (edge inference, with real-time and compute constraints on the robot itself) alongside cloud-side model updates and data pipeline flow, and backend-to-retailer-facing reporting. For each, you define what "done" means, who owns it, and what happens when it slips

Deployment readiness end to end: a program isn't complete when engineering ships it, it's complete when it's live and stable in stores. You own the handoff from build to field.

Visibility into risk before it's a crisis: dependency mapping, a standing cross-functional review cadence, and a top-risks list that leadership actually trusts because you can defend it technically

Your first 30 days

Build a single dependency graph spanning hardware, embedded software, cloud/data platform, and AI/CV for the two highest-priority programs

Identify and document the top risks to the nearest hard external date, with enough specificity that engineering leads agree it's accurate

Stand up a lightweight cross-functional review cadence with real inputs from each function, not a status meeting

What you bring

Hands-on technical experience: you've personally built, integrated, or debugged a complex product that spans physical hardware and robotics software, not just managed a team that did.

Depth in at least one of hardware/robotics software (ROS or comparable middleware) or cloud/data platforms, real fluency across the others.

Comfort driving a room of engineers who don't report to you. You guide decisions and shape estimates through technical insight and collaborative problem-solving.

A track record on programs where a hardware or software slip has real-world consequences, a customer site, a fleet in the field, a fixed external date, not just an internal roadmap

The instinct to build only as much process as removes friction. This role exists because delivery today depends heavily on a small number of people going above and beyond. The job is to build the systems and cadence that make that unnecessary, not to add processes that slow down people who are already delivering.

What this role is not

Not a project coordinator tracking a spreadsheet someone else fills in

Not scoped to hardware alone: you're equally at home in a conversation about a ROS navigation stack issue, an edge CV model that's missing its inference budget on-robot, and a cloud data pipeline delay

Not a substitute for engineering leadership: you drive cross-functional execution, you don't own the technical roadmap or make architecture calls

At Simbe, you will be at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide.

Simbe Values: R. E. T. A. I. L. Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors. Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally. Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback. Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs. Innovative - We are bold and innovative, with an intense focus on product design and user experience. Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.

165000 - 230000 USD a year The base salary offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including equity compensation, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.