Location requirements
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We're looking for an experienced engineering leader to lead our Desktop Engineering team. This key leadership role requires deep expertise in desktop application development and a strong product focus to deliver innovative AI-powered experiences to our users. You'll be responsible for building a high-performing engineering team focused on creating elegant, cross-platform desktop applications that put the power of our AI capabilities at users' fingertips.
You'll lead engineers working with a mix of native and web technologies to create the best possible version of Claude for macOS and Windows, bridging our AI technology with intuitive user interfaces that transform how people engage with advanced language models.
Today, our app is mostly web-based, but we're heavily investing in native code and deeper integrations into the operating systems. This means your team will work across multiple programming languages and platforms—from Chromium and Electron to C++ and native macOS and Windows APIs. You'll work closely with engineers, researchers, and product specialists to shape both the technical direction and the team culture from the ground up. This role requires deep expertise in desktop application development, strong product instincts, and a track record of building teams that deliver innovative, cross-platform experiences.
We're more interested in strong engineering leaders who can build teams excited to learn new technologies than we are looking for someone with hands-on experience in every technology in our stack. We understand that even the best engineering leaders will have more experience with some platforms than others.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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