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.
Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. We're looking for an engineering leader to own the foundational platform that powers all of these surfaces: the shared infrastructure, APIs, tooling, and systems that enable product teams to ship reliably, quickly, and with confidence.
In this role, you'll lead the team responsible for reliability, latency, developer velocity, and common components across Claude.ai's UI surfaces. Your work will directly determine how fast customer, partner, and product teams can innovate—and how stable their experiences are when they ship. This is a highly technical leadership role: you'll stay close to the code, drive architectural decisions, and build the systems that let others move faster.
This is a unique opportunity to shape the developer experience and platform foundations for one of the most rapidly evolving AI products in the world. You'll partner closely with product engineering teams, infrastructure, and leadership to ensure Claude.ai scales gracefully as we grow.
Responsibilities- Lead and grow the UI Platform team, setting technical direction for reliability, performance, and developer experience across all Claude.ai surfaces
- Own the foundational systems that product teams depend on: shared components, build and deploy pipelines, observability, and performance infrastructure
- Drive improvements to developer velocity—reducing friction, improving tooling, and enabling teams to ship features faster and more safely
- Establish and maintain high standards for latency, reliability, and quality across the platform
- Partner closely with product engineering, infrastructure, and leadership to align platform investments with product priorities
- Create clarity and direction in a fast-moving, ambiguous environment where priorities shift as Claude.ai evolves
- Build a culture of technical excellence, collaboration, and continuous improvement within your team
- Have 10+ years of software engineering experience, with significant time spent building platforms, developer tools, or infrastructure for consumer-facing products
- Have 5+ years of engineering leadership experience, including managing and growing teams in high-growth environments
- Have deep expertise in modern web development stacks (React, Next.js, TypeScript)
- Are passionate about developer experience and have a track record of building tools and systems that make other engineers more productive
- Have strong opinions on reliability, observability, and performance—and know how to operationalize those opinions at scale
- Can balance technical depth with strategic thinking, staying hands-on while also setting long-term direction
- Thrive in ambiguity and can create structure and clarity for your team when the path forward isn't obvious
- Communicate effectively across functions and can build alignment with product, design, and infrastructure partners
- Building and scaling platforms for multiple surfaces (web, mobile, desktop, extensions) with shared infrastructure
- Performance optimization and latency reduction in consumer-facing applications
- CI/CD, build systems, and deployment automation at scale
- Observability and monitoring systems (metrics, logging, tracing)
- Working on AI/ML products or in rapidly evolving product environments
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
Come work with us!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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