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Context
San Francisco, California, United States
Source: Context careers · View original posting
From Context's posting. “We” and “our” refer to the employer.
Context is the AI platform to redefine knowledge work. We:
We are a fast-moving team of engineers and researchers from Apple, Ramp, Stripe, Meta, BAIR, and SAIL. We’ve built applications with 1M+ users, launched campaigns reaching 180M+ people, and forward deployed products in some of the world’s largest teams. We’re fortunate to be backed by Lux Capital, Qualcomm Ventures, General Catalyst, and BoxGroup.
Most companies must choose between iterating on product fast and working with the biggest enterprises on earth. We have the rare privilege of doing both. Features we ship this week are in the hands of teams at Fortune 100 companies next week, meaning every product bet we make gets immediate, high-stakes signal from some of the most consequential corporate teams in the world.
Innovation happens when team members think from first principles and go above and beyond to achieve objectives—not by simply completing tasks
A highly analytical approach and eagerness to solve technical problems with data structures, distributed systems, cloud infrastructure, APIs, and modern frameworks
Understanding the difference between AI that assists and AI that executes production-quality work—and building systems that achieve the latter
Experience or curiosity about working with massive-scale, unstructured data to solve valuable business problems where "how we do things" isn't documented
Our engineers don't just turn inputs into outputs. We expect team members to think creatively and invent ways to improve the product
We understand that the outcome matters more than who gets the credit. Team members share wins and don't play politics
We operate in a fast-moving environment and accordingly iterate rapidly; team members must be able to learn from their mistakes and improve constantly
Ability and interest to travel up to 25-50% as needed to customer sites for onboarding, training, and deployment (flexible based on customer needs and personal preferences)
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