Full-Time

Office Manager

Generalist

Generalist

51-200 employees

Develops embodied AI robotics platform

Compensation Overview

$70k - $130k/yr

San Mateo, CA, USA

In Person

Category
Facilities Operations (1)

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Requirements
  • Experience running office operations, workplace experience, or facilities in a fast-paced environment.
  • Ability to stay highly organized and manage multiple moving parts simultaneously.
  • Ability to think in systems and processes rather than one-off fixes.
  • Ability to coordinate across vendors, employees, and leadership.
  • Strong ownership and proactive problem-solving ability.
  • Comfort with both physical and operational work, including moving items, setting up spaces, and fixing issues.
  • High emotional intelligence and care for team experience and culture.
  • Ability to write clear documentation and create repeatable workflows.
  • Preference for execution and speed over over-planning.
Responsibilities
  • Run daily office operations and ensure everything functions smoothly.
  • Design and improve systems for office processes, including supplies, vendors, events, and onboarding.
  • Manage cleaning, internet, food, and maintenance vendors and negotiate contracts.
  • Coordinate deliveries, services, and ongoing facility needs.
  • Own office budgets, track spending, and process invoices and reimbursements.
  • Ensure the office space is organized, well-maintained, and optimized for team productivity.
  • Support employee onboarding through workspace setup, access, and equipment readiness.
  • Plan and execute team events, lunches, and offsites.
  • Manage shared spaces, including conference rooms, calendars, and common areas.
  • Handle mail, shipping, and general administrative workflows.
  • Identify operational bottlenecks and improve the office experience end-to-end.
Desired Qualifications
  • Experience or interest in owning workplace operations across systems, budgets, vendors, and culture as the company scales.

Generalist AI builds embodied foundation models to power robots that can understand and physically interact with the world. Its GEN-0 model is trained on massive real-world robot manipulation data to learn visuomotor control and dexterous sensorimotor policies for complex tasks, including bi-manual manipulation. The company relies on industrial-scale data collection from real interactions rather than simulations and provides internal tools to visualize and search its data space. By combining AI and robotics expertise with a data-first training approach, Generalist AI aims to deploy broadly capable robots across industries and homes to enable humans and machines to work together.

Company Size

51-200

Company Stage

Series B

Total Funding

$728M

Headquarters

San Mateo, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 4, 2026 raised $400 million at $2 billion valuation.
  • Radical, 8VC, Nvidia, Bezos Expeditions, and USV all doubled down.
  • April 2026 GEN-1 reached 99% task success and 3x speed improvement.

What critics are saying

  • Universal Robots and Scale AI launched UR AI Trainer in March 2026.
  • Generalist still lacks public weights, API, pricing, or self-serve distribution.
  • If data advantages stall, giants like OpenAI and Nvidia commoditize embodied models by 2027.

What makes Generalist unique

  • Founders from DeepMind, OpenAI, Boston Dynamics built PaLM-E, RT-2, Atlas, Spot.
  • GEN-1 trains on 500,000 hours of real-world manipulation, not simulation.
  • Model-agnostic hardware strategy targets general-purpose dexterity across many robot types.

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Growth & Insights and Company News

Headcount

6 month growth

-8%

1 year growth

-10%

2 year growth

-6%
Yahoo Finance
Aug 24th, 2026
Generalist raises $200M for AI robotics, valuing startup above $2B

Generalist has raised approximately $200 million in new funding for its AI robotics technology, just two months after securing $400 million. The round was led by 8VC with participation from existing investors. The startup develops AI models to help robots better understand and operate in the physical world, including improving dexterity. These "robot brains" could significantly impact blue-collar work. Founded by alumni from Google DeepMind and Boston Dynamics, Generalist focuses on building models rather than robotic hardware. The company's valuation now exceeds the $2 billion mark it reached in June. Existing backers include Nvidia, Bezos Expeditions, Radical Ventures, USV, Hanabi, Spark Capital, and Fei-Fei Li. The funding reflects strong investor appetite for companies developing robotics AI technology.

Business Insider
Jul 29th, 2026
Robotics startup Generalist AI is in talks to raise a new funding round at a $3 billion valuation

Venture firm 8VC is expected to lead the round as investors pour money into physical AI.

PR Newswire
Jul 21st, 2026
Elite Robots partners with Generalist AI on embodied foundation model achieving 99% task success rate

Elite Robots has collaborated with US-based AI startup Generalist AI on the development of GEN-1, an embodied foundation model achieving a 99% task success rate and a 3x speed increase. Generalist AI, founded by former Google DeepMind scientists and backed by NVIDIA NVentures, used Elite Robots' cobot platform for real-world data collection and algorithm validation. The collaboration delivered industrial-grade performance with over 1,800 block stackings and 200 box foldings without intervention, backed by 100,000-hour MTBF and ±0.02mm repeatability. The platform's smooth servo control accelerated model iteration whilst maintaining predictable physical interactions. Elite Robots provides 24/7 technical support through its global network to support ongoing research and commercial deployment of embodied AI solutions.

8VC
Jun 4th, 2026
Generalist raises $400M to build robot foundation models for physical dexterity

Generalist, a robotics AI startup training foundation models across multiple robot types and tasks, has raised $400 million in new funding. The company aims to build general-purpose robot intelligence that can outperform task-specific systems, similar to how large language models succeeded in software. The startup focuses on solving robotic dexterity, which founders consider the hardest unsolved problem in robotics and the clearest path to commercial value. Generalist was founded by Pete Florence, former DeepMind senior scientist and author of influential papers including PaLM-E and RT-2, alongside Chief Scientist Andy Zeng and CTO Andrew Barry from Boston Dynamics. The founding team combines researchers from DeepMind, OpenAI and Boston Dynamics. Early results show rapid adaptation to new robots and tasks with strong sample efficiency and commercial traction.

Ars Technica
Apr 6th, 2026
Generalist's GEN-1 AI hits 99% success rate on robotic manipulation tasks

Generalist has announced GEN-1, a physical AI system that achieves 99 per cent success rates on delicate mechanical tasks like folding boxes and packing phones, operating roughly three times faster than its predecessor. The model can respond to disruptions by improvising new moves, such as shaking a bag to position objects or refolding shirts that shift mid-task. It reaches production-level performance after just one hour of adaptation to specific robotic hardware. Generalist trained the system using over 500,000 hours of data captured through wearable "data hands" that record human manipulation of objects. The company says GEN-1 represents a GPT-3-style inflection point for physical robotics, where models can now perform economically useful work across increasingly complex tasks without explicit programming for error recovery.