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United States Digital Space LLC is building a platform to enable government agencies to deliver better, more trustworthy public services using AI. We design production-grade AI agents for federal and state institutions, collaborating with leaders across industry to scale our public sector efforts.
This role focuses on understanding agency needs, prototyping new tools, and shaping the platform roadmap in partnership with research, product, and platform teams.
At the company, we’re building a platform to enable every company in the world to build better, more human customer experiences with AI. We partner with industry leaders such as SoftBank, Uber, Rivian, CLEAR, and Sutter Health. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding the company, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
the company recently received FedRAMP High certification, enabling us to bring our industry-leading technology to partners in the US public sector. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry.
Design and build production-grade AI agents for government institutions at the Federal and state level.
Full stack software development skills and familiarity with AI development processes.
Experience building conversational or long-horizon agents using proprietary or open source frameworks.
Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
We want our benefits to reflect our values and offer the following to full-time employees:
These benefits are further detailed in the company's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in the company's equity plans subject to the terms of the applicable plans and policies.
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.