---
title: 'Technical Project Manager at General Robotics'
canonical: 'https://feeny.ai/job/technical-project-manager-general-robotics-singapore-2ymwtn691bbv'
type: 'job'
last_seen: '2026-10-15'
---

# Technical Project Manager at General Robotics

- **Company:** General Robotics
- **Location:** Singapore
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/generalrobotics/33daba24-8ffb-4149-b8dd-deecf92bdce0

## Job description

We are seeking a Technical Project Manager to lead the delivery of customer projects on the GRID platform and act as the primary point of contact between General Robotics and our customers. You'll work hands-on with our engineers to scope solutions, assess technical feasibility, and make tradeoff decisions, while keeping customers informed with clear and timely updates. Managing multiple Physical AI projects concurrently, you'll stay close to every project's technical progress, speak credibly to customers about how GRID solves their problems, and bring field insights back into how GRID evolves. This role offers a front seat to the transformative impact of Physical AI in industry and an opportunity to learn from, and work alongside, a world-class team of AI and robotics pioneers.

## Responsibilities

- Manage multiple customer projects concurrently, from kickoff through deployment and handover, including scope, timelines, milestones, and deliverables.
- Work with engineering to break customer requirements into technical scope, work plans, and milestones.
- Assess technical feasibility and risks of customer requests against GRID's current capabilities.
- Stay up to date with the team's development progress, technical decisions, and blockers across projects, working closely with Forward Deployed Engineers and research teams in Singapore and the US.
- Lead technical discussions with customer engineering teams, including integration requirements, hardware and sensor setups, and deployment environments.
- Review and help shape solution designs, data collection plans, and evaluation criteria for model performance.
- Define success metrics and acceptance criteria for deployments.
- Serve as the primary point of contact for customers, building trusted relationships with stakeholders from technical teams to senior leadership.
- Provide regular project updates to customers, including progress reports, demos, risks, and next steps.
- Identify and escalate risks early, and drive resolution across engineering, research, and customer teams.
- Translate customer requirements and field feedback into input for the GRID product roadmap.
- Identify opportunities for expanding customer value, including follow-on projects and new use cases.

## Minimum Qualifications

- Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a relevant technical field.
- 3+ years of technical project or program management experience, or prior experience as an engineer moving into project management.
- Working understanding of machine learning, robotics, or software systems, enough to engage meaningfully in technical discussions and design reviews.
- Familiarity with the software development lifecycle and tools such as Git, Jira, or similar.
- Proven ability to manage multiple projects and stakeholders in parallel.
- Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- Ability to travel up to [X]% to customer sites and our US office as needed.

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## Preferred Qualifications

- Master's degree in Robotics, Computer Science, Computer Engineering, or a relevant technical field.
- Prior hands-on experience in software, ML, or robotics engineering.
- Experience managing projects in robotics, AI/ML, automation, manufacturing, or logistics.
- Familiarity with ROS, simulation platforms (e.g. AirSim, Isaac Sim, Mujoco), or computer vision workflows.
- Experience with cloud platforms and APIs.
- Experience working in a startup or fast-paced R&D environment, with distributed teams across time zones.
- Project management certification (e.g. PMP, PRINCE2) or Agile/Scrum experience.

## About General Robotics

General Robotics is building the intelligence grid for physical AI — the platform that makes any robot, from robotic arms to humanoids, genuinely intelligent. Headquartered in Redmond, Washington, we're backed by Accenture, who invested in General Robotics in 2026 to advance Physical AI-powered robotics in manufacturing and logistics, and we're part of Microsoft's Startups Pegasus Program. Our team's work spans some of the most widely adopted robotics and AI research to come out of Microsoft Research — including AirSim, PACT, and ClimaX.

Our core platform, GRID, gives robots a fast, cloud-native library of 40+ pre-trained AI skills, with deployment in as little as 15 minutes and scaling to 25,000+ concurrent robot requests per instance.

Our Singapore team works closely with the US team on GRID's research and development as an extended research facility, and to support our customers in the region. Engineers from both offices regularly visit each other for collaboration.

Base Salary Range The typical base pay range for this role is 100,000 SGD - 220,000 SGD. Your actual pay will be based on factors such as skills and experience.

## Equal Opportunity Employer

General Robotics is an equal opportunity employer. We do not discriminate on the basis of any status protected by applicable law.

Accommodations If you need a reasonable accommodation during the application or interview process, please contact: HR@GeneralRobotics.company

## About General Robotics

## Company Overview
- **One-liner**: General Robotics is an AI research and deployment company building the “intelligence grid” for physical AI, enabling modular, adaptable intelligence for any robot form, task, or environment.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Redmond, Washington, United States
- **Founded**: 2023
- **Founders**: Ashish Kapoor (CEO), Sai Vemprala (CTO), Dinesh Narayanan (Co-founder, departed Feb 2026), Shuhang Chen (Co-founder)

## Core Business
- **Primary industry**: Physical AI, robotics software platform, enterprise AI/robotics infrastructure
- **Target customers**: Large organizations in manufacturing, logistics, and other sectors deploying robot fleets; B2B, Enterprise
- **Mission or purpose**: “Making every robot useful, fast” – by providing a platform that composes modular AI skills for perception, planning, and action across diverse robot morphologies

## Products & Services
- **GRID (Intelligence Grid)**: A unified development and deployment platform for general-purpose robot intelligence. It offers pre-trained AI skills, simulation integration (AirGen, Nvidia Isaac Sim), reinforcement learning workflows, and agentic architecture for skill composition. Enables deployment from prototype to production in under 15 minutes, supporting up to 25,000+ concurrent robot requests across cloud, on-prem, or edge.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: Total funding – Seed round led by Accenture Ventures (announced April 15, 2026); also selected for Microsoft for Startups Pegasus Program (November 2025). Amounts not disclosed.
- **Notable Investors/Partners**: Accenture Ventures (lead investor), Microsoft (Pegasus program), NVIDIA (simulation integration)
- **Growth Signals**: 31 employees (as of mid-2026), with offices in Redmond (HQ), India, and South Korea. Traffic to website grew 56.9% month-over-month. Engaged in national robotics policy discussions (Congressional Robotics Caucus). Partnerships with Accenture for physical AI in manufacturing/logistics.

## Competitive Advantages
- **Modular skill composition**: Unlike monolithic models, GRID uses composable, interpretable, and safety-first AI skills that can be mixed and matched for any robot type.
- **Speed to deployment**: From prototype to deployment in under 15 minutes; quick adaptation (<1 day) using simulation feedback.
- **Multi-morphology support**: Works with humanoids, arms, quadrupeds, wheeled, and aerial robots.
- **Safety-by-design**: Built-in blame assignment and interpretability mechanisms for accountable behavior.

## Strategic Focus
- Scaling the platform to large enterprise deployments, especially in manufacturing and logistics (via Accenture partnership).
- Expanding the marketplace of pre-trained AI skills and OEM integrations.
- Engaging with government (U.S. National Robotics Strategy) and research community (foundation in deep learning, safety, and simulation).
- Building out the team and presence globally (Singapore office, India).

## Why Work Here
- **Culture**: “We’re scientists, engineers, and builders” – backgrounds from Microsoft, Google, Carnegie Mellon, and open-source projects (AirSim, TensorFlow Object Detection, ChatGPT for Robotics). Emphasis on research, safety, and practical impact.
- **Work policy**: Hybrid (in-office expectation for Redmond, WA; also in-office in Singapore. Some roles listed as “In-Office” on Built In).
- **Perks**: Not explicitly listed, but team is small (31) with flat structure; opportunities to shape the platform from early stage.
- **Engineering culture**: Deep learning, simulation, and deployment engineering; strong cross-disciplinary collaboration (research, product, customer success).
- **Hiring**: Currently few open positions (as of July 2026); the company values “curious minds from a wide range of disciplines.”

## Sources
1. [General Robotics Website](https://www.generalrobotics.company/)
2. [General Robotics LinkedIn](https://www.linkedin.com/company/gen-robotics)
3. [General Robotics Newsroom](https://www.generalrobotics.company/newsroom)
4. [Built In Company Profile](https://builtin.com/company/general-robotics)
5. [General Robotics Careers Page](https://jobs.ashbyhq.com/generalrobotics) (via Ashby)

## Other roles at General Robotics

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