FluidstackBuilds for teams inside the company
Product Engineer, Business Operations
San Francisco, CAOn-site
$224,000–$300,000
Updated
$200,000–$350,000San Mateo, CA · Somerville, MASan Mateo, CA +1On-site
Customer-facing product engineering role building applications for diagnosing, teaching, QA, and running robots.
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$200K–$350KAbove the median
Median $190K
This job$200K–$350KTypical senior FDE payMiddle 50% of 1,789 postings$160K–$220KBuilds for teams inside the company
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Posted by Generalist AI on
At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
This is a customer-facing product engineering role with many PM-like responsibilities.
You will build the applications that customers, deployment partners, researchers, and other internal teams will use to diagnose, teach, QA, and run our robots.
You will spend 1/4 of your time with customers learning about their use cases and distilling product requirements. You'll then be one of the key people responsible for implementing those product ideas.
Today, the product surface areas are web UIs, APIs, hardware appliances, robot interfaces, and human processes. You'll be expected to seamlessly work across all parts of the stack.
Builds embodied foundation models for dexterous robot manipulation, pairing massive real-world interaction data with cross-embodiment generalization for industrial and future home-use robots.
Series A · 10–50 people
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San Francisco, CAOn-site
$224,000–$300,000
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