A

Ambi Robotics

AI-powered robotic parcel sorting system

Customer Success Account Manager

Full-Time
$115k - $150k/yr+ Equity ownership + 401(k) with 5% matching
Mid
Berkeley, CA, USA
In PersonApproximately 30% travel to customer sites is required.
Customer Experience & SupportCustomer Success

About the job

Requirements
  • Three to five years of experience in Customer Success, Technical Account Management, or a comparable client-facing role at a SaaS, hardware-software, or industrial-technology company.
  • A background in supply chain, logistics, warehouse automation, or industrial robotics.
  • A track record managing enterprise or Fortune 500 accounts in complex, multi-stakeholder environments.
  • Ability to read and communicate operational data, including throughput, uptime, cycle times, and error rates.
  • Comfort operating amid ambiguity at an early-stage company.
  • Proficiency with project or service-management tools such as Asana, Jira Service Management, or similar tools.
  • Willingness to travel to customer sites approximately 30% of the time.
  • Comfort leading both in-person and web-based customer training and enablement.
Responsibilities
  • Own a portfolio of enterprise accounts from implementation handoff through adoption, renewal, and expansion.
  • Define, track, and report customer health scores, key performance indicators, and return-on-investment milestones tied to robotic deployment performance.
  • Collaborate with the Sales team and run structured Quarterly Business Reviews and Executive Business Reviews with customer stakeholders at operational and executive levels.
  • Guide customers through structured onboarding, site readiness, and go-live milestones in partnership with deployment and engineering teams.
  • Drive user-adoption programs across warehouse operators and managers.
  • Serve as the owner for post-sale activity across accounts and act as the primary point of contact for requests, escalations, and initiatives.
  • Spend meaningful time on-site at customer distribution and fulfillment centers to develop familiarity with their operations, shift structures, and facility layouts.
  • Act as an embedded partner during critical go-lives, peak-season ramps, and post-incident recovery windows.
  • Represent the customer internally by channeling feedback to Product, Engineering, and Operations, and partner with Sales on renewals, expansion, and upsell.
  • Coordinate with Field Engineering to resolve hardware, firmware, and integration escalations while owning communication throughout.
  • Re-establish and scale the Customer Success function by rebuilding playbooks, onboarding templates, health-score methodology, and tooling for future hires.
Desired Qualifications
  • Experience as an early or founding Customer Success hire.
  • Exposure to robotics, Internet of Things, or hardware-dependent SaaS products.

About the company

A

Ambi Robotics

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cbWebsite

Ambi Robotics provides AI-powered robotic systems for parcel sorting in shipping, e-commerce, and logistics. Its flagship product, AmbiSort, is a robotic system that can pick, analyze, sort, and pack packages with high precision, driven by the AmbiOS software platform. The robots are adaptable across series (A/B) and are designed to integrate into existing workflows. The technology relies on Sim2Real AI, which enables robots to be trained thousands of times faster and start operating in real-world conditions from day one. Ambi Robotics operates on a robotics-as-a-service model, offering access to its hardware and software through a ongoing service rather than outright robot purchases. This approach helps clients improve sorting accuracy, reduce returns, and lower labor costs. The company differentiates itself through fast real-world readiness, emphasis on customer empathy, and a focus on solving real-world supply chain problems rather than purely building hardware.

Company Size

51-200

Company Stage

Early VC

Total Funding

$65.1M

Headquarters

Berkeley, California

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • On June 30, 2026, Ambi and Pickle automated inbound logistics for Fortune 500 operators.
  • AmbiVision launched March 11, 2026, and offers a free 30-day live deployment.
  • By September 17, 2026, agentic robotics added 15,725 sorts yearly per robot.

What critics are saying

  • Thirty percent of the U.S. fleet now depends on one Fortune 50 shipper.
  • Pickle Robot controls trailer unloading, shrinking Ambi to a narrower downstream automation layer.
  • Ambi raised last in October 2022; a weak RaaS refresh breaks its cash engine.

What makes Ambi Robotics unique

  • AmbiOS turned 250,000 production hours into PRIME-1 and AI Skill Suite licensing.
  • On September 17, 2026, Ambi deployed agentic robotics across 30% of its U.S. fleet.
  • AmbiVision and AmbiStack span OCR, sorting, stacking, and pack-out in one platform.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Company Match
  • 401(k) Retirement Plan
  • Unlimited Paid Time Off
  • Remote Work Options
  • Gym Membership

Growth & Insights and Company News

6 month growth

-5%

1 year growth

-5%

2 year growth

-12%
Ambi Robotics
Sep 17th, 2026
Agentic Robotics solves an industrial production problem.

Agentic Robotics solves an industrial production problem. By Ambi Robotics 09.17.2026 Using a new Graph-as-Policy-based Agentic Robotics harness within AmbiOS, AI agents solved in 10 hours a package-placement problem that would have taken engineers several weeks to address. The solution is now deployed across 30% of Ambi Robotics' U.S. fleet, including systems operating for a Fortune 50 package shipping company. To the best of its knowledge, this is the first time Agentic Robotics has solved a real production problem. Improving performance on commercially-deployed robots requires significant human effort. Engineers must review key data offline (e.g. videos, images, sensor data, and logs), hypothesize root causes, and test updates. This process is slow and requires significant domain knowledge. "Agentic Robotics" offers an exciting new approach. The idea is to use AI coding agents to automatically analyze data, identify problems, and solve them to improve robot performance. This combines rapid advances in AI coding with classical model-based robotics modules and learned model-free policies. This requires agentic robotics "harnesses" to guide AI coding systems to solve the real robotics problems. Several new research papers, including Code-as-Policy (CaP) [1, 2] and Graph-as-Policy (GaP) [3], show surprising promise for rapidly generating reliable robot control systems with agentic harnesses that constrain agents to use libraries of relevant robot skills. Building on these ideas, Ambi Robotics developed the AmbiOS Agentic Robotics Harness. It builds on GaP to update computation graphs that are composed of existing robot skills. The harness gives agents access to two key pieces of infrastructure. First, agents access datasets of real robot events from the cloud that can be filtered by a set of known success and failure modes. Second, agents use a simulation environment to replay these events with new self-generated behaviors and test graph edits, evaluating the outcomes in the simulation. The harness constrains how agents work, ensuring that the final result can be executed without compromising safety checks and error handling. Figure 1. AmbiOS Agentic Robotics harness architecture for performance improvements on real production robots. Task. The AmbiSort robot picks, scans, and places random packages with a robot arm and a gantry receives the package and sorts it into a bag based on data like the zip code. The target bags have a fixed opening size through which items must fit to fall into the bag without jamming. Ambi Robotics applied the AmbiOS Agentic Robotics Harness to a problem where subtle edge cases impact critical operational metrics: throughput, sort accuracy, and uptime. Millimeter-level inaccuracies can have a significant effect on throughput. Packages that are on the boundary of fitting into the bag opening are challenging because the robot arm cannot estimate item dimensions and pose with perfect precision due to sensor noise and item deformation. Furthermore, the robot prefers placing items with the short side going into the bag to maximize space utilization. As a result, these edge case items are too wide to fit through the bag opening, forcing the system to reject and retry packages, losing valuable time. Ambi Robotics estimated that this issue was reducing capacity by approximately 31k sorts per year per robot for a typical facility running 12 hours a day, 6 days a week. Fixing this issue with hand-tuning would take several weeks of engineering time. Figure 2. Example of a retry due to the item not fitting into the sack. The item is drooping slightly when lifted, leading the robot to underestimate the item width and place it in a poor orientation. The gantry drops the item back into the input bin to retry, costing valuable time. Ambi Robotics used the AmbiOS Agentic Robotics Harness with Anthropic's Claude models including both Sonnet 4.6 and Opus 4.8. The agents analyzed images and data from 500 events over the previous week of production, 50% of which were the known failure mode and 50% which were selected at random to avoid regressions. Within 10 hours, the agents generated and evaluated three solution hypotheses. Results. Ambi Robotics deployed these three hypotheses into real production A/B tests in customer warehouses. Each solution was compared to a baseline software version. Here are the results after 10 days: | Hypothesis | Estimated Change in Sorts per Year per Robot | | H1 | −374 | | H2 | −1,497 | | H3 | +15,725 | Table 1. Comparison of throughput and estimated packages per year across three A/B test solutions deployed to real production robots. For H3, the agent noticed that for large, dangling bags and paper mailers, the placement plan needs to carefully trade off orienting the item to fit in the destination bag and avoiding placements where the item could get stuck in grates on the placement platform. It optimized this tradeoff and decided to route more packages through a subgraph for planning dangling item placements because it results in a more predictable final orientation. In addition, the agent changed the flat item subgraph to only optimize for the final orientation of the item because it is easier to predict the final resting position of flat items than for bags. In real production A/B tests, H3 increased throughput by 4.2 packages per hour. Over 12 hours per day and 6 days a week (standard operation), this corresponds to over 15k packages per year per robot. Figure 3. Placement behavior before and after S3, for a set of near-identical packages in production. Select an example to load it, then drag a view to rotate both. Conclusion. To the best of its knowledge, this is the first time that Agentic Robotics has solved a real production problem. The solution runs on 30% of the Ambi Robotics fleet sorting real packages with 24x7 availability. Ambi Robotics is now applying the AmbiOS Agentic Robotics Harness to a number of other production problems, accelerating performance improvements. Want to scale physical AI in real world deployments? Ambi Robotics is hiring! References. [1] Liang, Jacky, et al. "Code as policies: Language model programs for embodied control." 2023 IEEE International conference on robotics and automation (ICRA). IEEE, 2023. [2] Fu, Letian, et al. "CaP-X: A framework for benchmarking and improving coding agents for robot manipulation." arXiv preprint arXiv:2603.22435 (2026). International Conference on Machine Learning (ICML), July 2026. [3] Chen, Kaiyuan, et al. "GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks." arXiv preprint arXiv:2607.05369. To Appear: Conference on Robot Learning (CoRL), Nov 2026.

Business Wire
Jun 30th, 2026
Ambi Robotics and Pickle Robot integrate systems to fully automate inbound logistics for Fortune 500 retailers

Ambi Robotics and Pickle Robot Company have integrated their systems to fully automate inbound logistics operations for Fortune 500 retail and logistics operators. The solution combines Pickle Robot's trailer-unloading systems with Ambi Robotics' AmbiStack multi-purpose stacking technology, creating an autonomous flow from trailers through warehouse receiving. The deployment leverages existing warehouse infrastructure without requiring major facility redesigns. Cases are unloaded from trailers by Pickle Robot's systems, then inducted via conveyor into AmbiStack for identification, scanning and stacking. Both companies emphasise interoperability in warehouse automation. Ambi Robotics, founded in 2018 and based in Berkeley, develops AI-powered robotics for commercial operations. Pickle Robot, headquartered in Charlestown, specialises in automated truck unloading and aims to reach one million dock doors with robotic systems over the next decade.

Ambi Robotics
Jun 25th, 2026
Ambi Robotics is an artificial intelligence (AI) and robotics company building the foundational infrastructure to automate the world's most demanding physical operations. Powered by AmbiOS, its har...

06.25.2026 Global AI industry awards program honors Ambi Robotics during a year of commercial growth and accelerating real-world physical AI deployments BERKELEY, Calif. - Ambi Robotics, a leading provider of AI-powered robotics for commercial operations, today announced that it has been named "Overall Robotics Company of the Year" for the 2026 AI Breakthrough Awards program. For nearly a decade, the awards program has been recognizing technologies and industry leaders driving significant advancements in AI through breakthrough technology across categories, including AI platforms, generative AI, robotics, computer vision, machine learning operations, large language models, agentic AI, AI hardware, and more. Ambi Robotics' AI-powered robotic solutions help leading logistics and retail operators automate some of the industry's most challenging material handling operations. The company's portfolio includes physical hardware for automated material handling systems like AmbiSort and AmbiStack, as well as software applications including AmbiOS, AI Skill Suite, and AmbiVision that enable robots to continuously learn and improve in real-world operations. "This award is a testament to the hard work of our entire team who is dedicated to building our AI-powered solutions and ensuring they solve real-world operational challenges," said Jim Liefer, CEO of Ambi Robotics. "From sorting and stacking to the software that powers our solutions, everything we do is intentional and focused on helping customers address complex material handling demands with ease. We're honored to be recognized for the impact our technology is having across commercial operations." This recognition follows a year of continued growth for Ambi Robotics, including the launch of AmbiOS AI Skill Suite, AmbiVision, and the expansion of AmbiStack, the company's AI-powered multi-purpose robotic system designed to automate the movement of inbound and outbound warehouse materials. AmbiStack is now deployed in commercial operations, where it handles demanding material movement so warehouse teams can focus on safer, higher-value work. See AmbiStack in action and learn more about the robotic solution here: https://www.youtube.com/watch?v=z_697RHFz7Q. "A true measure of success in robotics is whether systems can deliver reliable performance in real-world operations at scale," said Jeff Mahler, CTO and Co-founder of Ambi Robotics. "Every deployment at Ambi strengthens the intelligence behind our AmbiOS platform, creating a continuous learning cycle that allows our robots to become more skilled over time. This award recognizes the progress our team has made in bringing production-ready physical AI to commercial operations." About Ambi Robotics Ambi Robotics is an artificial intelligence (AI) and robotics company building the foundational infrastructure to automate the world's most demanding physical operations. Powered by AmbiOS, its hardware-agnostic operating system, the company draws on the industry's largest repository of real-world operational data to deploy high-performance physical AI solutions at scale. Founded in 2018 and headquartered in Berkeley, Calif., Ambi Robotics brings together the world's top roboticists, AI researchers, and leading business professionals. Together they help Fortune 500 enterprises move more volume with industrial-grade reliability while empowering people to handle more. For more information, please visit www.ambirobotics.com.

Business Wire
Jun 25th, 2026
Ambi Robotics recognized as overall Robotics Company of the Year by AI Breakthrough Awards program.

Ambi Robotics recognized as overall Robotics Company of the Year by AI Breakthrough Awards program. Global AI industry awards program honors Ambi Robotics during a year of commercial growth and accelerating real-world physical AI deployments BERKELEY, Calif.-(BUSINESS WIRE)-Ambi Robotics, a leading provider of AI-powered robotics for commercial operations, today announced that it has been named "Overall Robotics Company of the Year" for the 2026 AI Breakthrough Awards program. For nearly a decade, the awards program has been recognizing technologies and industry leaders driving significant advancements in AI through breakthrough technology across categories, including AI platforms, generative AI, robotics, computer vision, machine learning operations, large language models, agentic AI, AI hardware, and more. Ambi Robotics' AI-powered robotic solutions help leading logistics and retail operators automate some of the industry's most challenging material handling operations. The company's portfolio includes physical hardware for automated material handling systems like AmbiSort and AmbiStack, as well as software applications including AmbiOS, AI Skill Suite, and AmbiVision that enable robots to continuously learn and improve in real-world operations. "This award is a testament to the hard work of our entire team who is dedicated to building our AI-powered solutions and ensuring they solve real-world operational challenges," said Jim Liefer, CEO of Ambi Robotics. "From sorting and stacking to the software that powers our solutions, everything we do is intentional and focused on helping customers address complex material handling demands with ease. We're honored to be recognized for the impact our technology is having across commercial operations." This recognition follows a year of continued growth for Ambi Robotics, including the launch of AmbiOS AI Skill Suite, AmbiVision, and the expansion of AmbiStack, the company's AI-powered multi-purpose robotic system designed to automate the movement of inbound and outbound warehouse materials. AmbiStack is now deployed in commercial operations, where it handles demanding material movement so warehouse teams can focus on safer, higher-value work. See AmbiStack in action and learn more about the robotic solution here: https://www.youtube.com/watch?v=z_697RHFz7Q. "A true measure of success in robotics is whether systems can deliver reliable performance in real-world operations at scale," said Jeff Mahler, CTO and Co-founder of Ambi Robotics. "Every deployment at Ambi strengthens the intelligence behind our AmbiOS platform, creating a continuous learning cycle that allows our robots to become more skilled over time. This award recognizes the progress our team has made in bringing production-ready physical AI to commercial operations." About Ambi Robotics Ambi Robotics is an artificial intelligence (AI) and robotics company building the foundational infrastructure to automate the world's most demanding physical operations. Powered by AmbiOS, its hardware-agnostic operating system, the company draws on the industry's largest repository of real-world operational data to deploy high-performance physical AI solutions at scale. Founded in 2018 and headquartered in Berkeley, Calif., Ambi Robotics brings together the world's top roboticists, AI researchers, and leading business professionals. Together they help Fortune 500 enterprises move more volume with industrial-grade reliability while empowering people to handle more. For more information, please visit www.ambirobotics.com Contacts. Media Contact: Joseph Ruck Ambi Robotics 510-435-4367 [email protected] More News From Ambi Robotics BERKELEY, Calif. & CHARLESTOWN, Mass.-( BUSINESS WIRE )-Ambi Robotics and Pickle Robot Deliver Integrated Physical AI Solution to Fully Automate Inbound Logistics... BERKELEY, Calif.-( BUSINESS WIRE )-AmbiStack Selected for 2026 RBR50 Awards, Marking Third Recognition for Ambi Robotics... BERKELEY, Calif.-( BUSINESS WIRE )-Ambi Robotics Introduces AmbiVision, Utilizing AI Skill Suite for Image-Based Item Intelligence and Cognitive OCR for Distribution Centers...

WHSERobotics
Mar 15th, 2026
Ambi Robotics introduces AmbiVision for AI vision in distribution centers.

Ambi Robotics introduces AmbiVision for AI vision in distribution centers. Artificial intelligence and machine vision promise to make distribution centers more efficient. Ambi Robotics today introduced AmbiVision, which is designed to automate complex item identification, tracking, and optical character recognition, or OCR. The company said the software expands its AI Skill Suite capabilities under AmbiOS with visual intelligence built for high-speed, real-world operations. "AmbiVision delivers the intelligence necessary to autonomously handle any item, especially where traditional machine vision fails," stated Jeff Mahler, co-founder and chief technology officer of Ambi Robotics. "We developed AmbiVision because existing solutions were too rigid for the inconsistent labeling and varied text found in real-world distribution centers." "By leveraging our 250,000 hours of production data, combined with best-in-class vision hardware, we are helping 3PLs [third-party logistics providers] and retailers unlock new levels of efficiency for items that were previously impossible to automate," he added. Founded in 2018, Ambi Robotics has developed the AmbiOS hardware-agnostic operating system for demanding physical operations. The Berkeley, Calif.-based company claimed that it uses the industry's largest repository of real-world operational data to deploy high-performance robotic systems at scale for Fortune 500 enterprises. AmbiVision sharpens inventory view. In high-volume logistics and fulfillment environments, damaged or low-quality barcodes, as well as packages without them entirely, frequently disrupt automated workflows, noted Ambi Robotics. When these systems fail, workers must manually intervene to read shipping labels and determine routing information, which slows operations and increases the risk of errors. AmbiVision helps automated systems move beyond barcode dependency by using high-resolution visual data to identify items, perform pose estimation, and assess dimensions and materials in real time. Ambi added that its system includes advanced defect detection to identify visible damage before it moves further down the supply chain. Ambi Robotics said these capabilities support a broader range of automated applications beyond simple sorting, including: * Palletizing: Ensuring precise placement and stability based on item dimensions and materials * Case packing: Optimizing spatial efficiency for diverse inventory * Quality inspection: Maintaining high compliance standards by identifying damaged goods By combining AI-powered "Cognitive OCR" with image-based scanning, AmbiVision can run on any vision system and make it 30% smarter, asserted Ambi Robotics. It interprets routing and handling from printed text and visual cues when barcode data is damaged, unreadable, or unavailable, the company added. Beyond text recognition, the company said its new system "provides a comprehensive intelligence layer for automated workflows:" * Measurement: Identifying item dimensions to ensure proper robotic handling * Tracking: Maintaining real-time status as items move through a facility * Compliance: Verifying that items meet specific shipping and handling requirements * Inspection: Detecting unexpected issues or visible defects * Reading: AmbiVision uses Cognitive OCR to extract data from text when barcodes are missing By integrating these advanced AI skills, AmbiVision allows automated workflows to extract critical information reliably. Ambi Robotics added that it can improve accuracy and efficiency while significantly reducing manual intervention across sorting and material handling processes. Ambi Robotics offers trial deployment. AmbiVision is available as a software application within AI Skill Suite, powered by AmbiOS. The technology is already operating within existing customer deployments. Ambi said AmbiVision's high-resolution data visibility is compatible with leading vision systems, such as the DataMan 380 from Cognex. Ambi Robotics is offering a complimentary 30-day AmbiVision deployment to demonstrate the technology in live commercial operations. Through the program, Ambi Robotics installs an AmbiVision scan tunnel directly within a participating facility and processes the operation's live inventory for a 30-day evaluation period. At the conclusion of the deployment, Ambi Robotics plans to deliver a detailed performance report outlining read rates, accuracy, and decode times for key identifiers such as purchase order numbers, item codes, and lot numbers. The program is offered at no cost and is limited to three participating companies at a time, selected from a growing waitlist. "As a former executive at Walmart and UPS, I understand that technology must be proven with demonstrated ROI [return on investment] before it is implemented at scale," said Jim Liefer, CEO of Ambi Robotics. "We are proving the reliability of AmbiVision on the very items that currently cause bottlenecks in our customers' facilities. By providing this transparency and data upfront, we can demonstrate exactly how this intelligence layer will streamline their specific, real-world workflows." Interested organizations can join the waitlist to reserve their complimentary AmbiVision deployment at www.ambirobotics.com/ambivision.