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Jobs at Simbe (Now Hiring) — 4 open

Simbe logoSimbe

Mapping Analyst - Contract (6 months)

Remote OK

$3k–$4k/mo

Mid level$104M raised

Simbe Robotics is a leading retail robotics company providing in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and deliver valuable data insights. Our autonomous robots an…

Skills: SLAM, Lidar Data Analysis, Remote Robot Operation, Image Editing, Spatial Data Analysis

Simbe logoSimbe

Senior Service Analyst

San Francisco, California, United States · Hybrid

$120k–$150k/yr

Senior$104M raised

San Francisco Bay Area (Hybrid — Burlingame office 2-3x/week required) Must currently reside locally; this is not a remote-eligible role. Simbe Robotics is a leading retail robotics company providing in-store intelligenc…

Skills: SQL, BigQuery, Looker, SLA Tracking, Root Cause Analysis

Simbe logoSimbe

Head of Communications

Remote OK

$150k–$200k/yr

Senior+$104M raised

This role serves as Simbe’s editorial and communications leader, translating business strategy into narratives, programs, executive platforms, and market influence that strengthen the company’s reputation, accelerate com…

Skills: Corporate Communications, Executive Communications, Public Relations, Content Strategy, Narrative Development

Simbe logoSimbe

Head of Demand Generation & ABM

San Francisco, California, United States · Hybrid

$130k–$250k/yr

Senior+$104M raised

ABOUT THE ROLE We're looking for a strategic, commercially-minded, and highly collaborative leader to join our marketing organization as Head of Demand Generation & ABM. This role will lead our demand generation engine a…

Skills: Demand Generation, Account-Based Marketing, Pipeline Strategy, Marketing Operations, Lead Lifecycle Management

Simbe logo

Mapping Analyst - Contract (6 months)

Simbe

Remote OK

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Mid level

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  • $3k–$4k/mo
  • Contract
  • Posted 3d ago
  • ~40 hrs/week
  • Remote in United States

Responsibilities

The Mapping Analyst is responsible for maintaining the integrity of SLAM maps for a robot fleet by detecting degradation and performing rebuilds. This involves remotely operating robots to capture new maps and using image editing tools to manually patch and clean spatial data.

Requirements

Candidates need 1-3 years of experience in spatial data, robotics, or GIS, along with proficiency in image editing software. A basic understanding of SLAM and lidar data is required, and scripting skills in Python are preferred.

Full job description

Simbe Robotics is a leading retail robotics company providing in-store intelligence solutions that help retailers optimize operations, improve shelf execution, and deliver valuable data insights. Our autonomous robots and multi-modal data collection systems are transforming how retailers manage inventory and make data-driven decisions.


Position Overview
Simbe is seeking a Mapping Analyst, on a contract basis, to own the integrity of the SLAM maps that power navigation for our deployed Tally robot fleet. Accurate maps are foundational to everything Tally does in-store — every scan, every route, every data point depends on the robot knowing exactly where it is. This role is responsible for detecting map degradation, rebuilding and patching maps using Simbe's proprietary tooling, and ensuring every store in the fleet has a clean, current, navigable map.


This is a hands-on technical role that blends remote robot operation, spatial data work, and image-level editing. The right candidate is comfortable remote-controlling a robot to capture a fresh SLAM map, just as comfortable stitching lidar scans from prior traversals into an existing map to patch problem areas, and precise enough to clean up and splice map imagery by hand when automated tooling isn't enough.

 

This is a 1099 independent contractor position for 6 months from the start date. Applicants must be able to work as a freelance in the United States. 

\nResponsibilities
  • Map Health Monitoring Monitor map quality and drift indicators across the fleet. Identify stores where localization failures, delocalization events, or navigation errors point to a degraded or outdated map.
  • Remote SLAM Map Generation Remotely control robots in-store using proprietary tooling to drive fresh SLAM mapping traversals when a store's map needs to be rebuilt from scratch.
  • Map Patching from Historical Scans Pull lidar scans from previous traversals and use them to patch, extend, or correct sections of an existing map without requiring a full remap, minimizing on-site disruption.
  • Manual Map Editing Use photo/image editing software to clean up, align, and splice map segments — correcting artifacts, merging patched regions seamlessly, and removing transient obstacles or scan noise that automated processing didn't catch.
  • Quality Assurance Validate patched and newly generated maps against navigation performance before deployment, confirming that fixes resolve the underlying localization issue rather than masking it.
  • Tooling Feedback Work closely with Engineering to flag gaps in the mapping toolchain and inform improvements to automated map-patching and SLAM pipeline tools.
  • Incident Documentation Log mapping-related incidents, root causes, and resolutions in internal tracking systems, and contribute to playbooks for common map failure patterns.
  • Cross-Functional Coordination Partner with Robot Operations, Client Success, and Engineering to prioritize which stores need mapping attention and to communicate expected timelines for fixes.
Qualifications
  • 1–3 years of experience in a technical, spatial-data, robotics, or GIS-adjacent role
  • Comfort with remote robot operation or teleoperation tools, or strong aptitude to learn proprietary robotics tooling quickly
  • Hands-on experience with image/photo editing software (e.g., Photoshop, GIMP, or similar) for precise pixel-level edits
  • Basic understanding of SLAM, lidar data, or occupancy-grid mapping concepts
  • Strong attention to detail — able to spot subtle map artifacts or misalignments that would otherwise cause navigation failures
  • Strong written communication for incident documentation and cross-team coordination
  • Comfort navigating a fast-paced startup environment with evolving tooling and responsibilities
Preferred Qualifications
  • Prior experience with SLAM algorithms, point cloud data, or robotics navigation stacks
  • Scripting experience (Python or similar) for batch-processing map files or automating repetitive patching tasks
  • Experience with Jira, Confluence, or similar operational tracking tools
  • Retail technology or fleet operations exposure is a plus
Working Conditions
  • Expected hours: 40 hours per week
  • Working hours: Standard business hours in either west coast or east coast
\n
$3,000 - $4,000 a month


\n

What We're Looking For
Someone who treats a degraded map as an active liability, not a backlog item — the instinct should be to patch it before it causes a delocalization event, not after. Candidates should be equally comfortable driving a robot remotely to capture new lidar data and sitting in an editor precisely correcting a map by hand, moving fluidly between the two as the situation demands.

Related keywords

SLAMLidarRoboticsGISSpatial DataPoint CloudPhotoshopGIMPPythonJiraConfluenceOccupancy-gridTeleoperationNavigation StacksRetail TechnologyFleet Operations

About Simbe

LinkedInVisit site

The store intelligence platform retail trusts

Industry
Retail
Company size
51-200 employees
Founded
2014
Headquarters
South San Francisco, California
LinkedIn followers
26,231
Total funding
$104M

Simbe, the global leader in retail shelf digitization, is the trusted partner for retailers confronting today's most critical challenges: 66% of "out-of-stock" items hidden within stores, 90% of pricing errors missed by manual audits, and 95% labor attrition. As the market leader across a dozen retail sectors globally, our unique combination of AI, robotics, RFID, and advanced sensors delivers immediate shelf intelligence without the need for planograms. Simbe customers consistently achieve transformative results: 2% margin growth, 98% on-shelf availability, 90% improved price accuracy, and 50+ weekly labor hours reallocated to customer service per store. Our enterprise-grade platform seamlessly integrates with existing retail systems, delivering ROI within three months while powering the intelligent retail operating model necessary to compete today.

Offices: 385 Oyster Point Blvd, STE #2, South San Francisco, California 94080, US

Retail TechnologyRoboticsSales AutomationArtificial Intelligence (AI)
View all jobs at Simbe

About Simbe

LinkedInVisit site

The store intelligence platform retail trusts

Industry
Retail
Company size
51-200 employees
Founded
2014
Headquarters
South San Francisco, California
LinkedIn followers
26,231
Total funding
$104M

Simbe, the global leader in retail shelf digitization, is the trusted partner for retailers confronting today's most critical challenges: 66% of "out-of-stock" items hidden within stores, 90% of pricing errors missed by manual audits, and 95% labor attrition. As the market leader across a dozen retail sectors globally, our unique combination of AI, robotics, RFID, and advanced sensors delivers immediate shelf intelligence without the need for planograms. Simbe customers consistently achieve transformative results: 2% margin growth, 98% on-shelf availability, 90% improved price accuracy, and 50+ weekly labor hours reallocated to customer service per store. Our enterprise-grade platform seamlessly integrates with existing retail systems, delivering ROI within three months while powering the intelligent retail operating model necessary to compete today.

Offices: 385 Oyster Point Blvd, STE #2, South San Francisco, California 94080, US

Retail TechnologyRoboticsSales AutomationArtificial Intelligence (AI)
View all jobs at Simbe

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