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Salary
$165k – $230k per year
Location
Hybrid (San Francisco, United States)
Seniority
Principal
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Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 6, 2026. Simbe Robotics scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Simbe Robotics builds the Tally autonomous shelf-scanning robot and combines shelf-scanning robots, fixed sensors and RFID in one platform that gives retailers inventory, pricing and shelf data in real time. Its postings cover data and analytics engineering, product data management, shipping coordination and finance in the San Francisco Bay Area. The company is headquartered in South San Francisco, California, United States.

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

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