Engineering Manager, Claude Developer Platform
San Francisco, CAFull-TimeManagerSoftware Engineering
About Anthropic
- 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.
About the role
- Since launch, the Anthropic API has seen rapid growth and adoption by companies of all sizes to build AI applications with our industry-leading models. We're looking for experienced leaders to lead teams within our Claude Developer Platform organization, which is responsible for the Anthropic API and developer experiences. The team owns the end-to-end flow for using the Anthropic API, including everything from documentation and SDKs to prompt engineering and model customization tools.
Platform Tools
- Increasingly complex businesses are building integrations on top of the Claude Developer Platform. The Platform Tools team has a goal to spend time with these customers, learn what they need in order to build the integrations they need to build, and improve the platform to support these use cases.
API
- You'll work on shipping the world's most intelligent and capable APIs, partnering directly with research to bring frontier capabilities to developers. This team owns core capabilities including vision, tool use, and computer use. Your work will directly impact how developers interact with our most advanced models.
Responsibilities
- Lead a team in crafting an industry-defining developer experience for building AI applications
- Collaborate with product and research teams to define the vision and developer roadmap
- Create clarity for the team and stakeholders in an ambiguous and evolving environment
- Work cross functionally to design clear interfaces and processes for shipping products that span many teams
- Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high performing team
You may be a good fit if you have
- 5+ years of experience as an engineering manager
- A background in fullstack development - comfortable diving into various technology stacks frontend, backend, and at times deeper infrastructure.
- A strong product mindset, able to navigate through ambiguity, and willingness to wear multiple hats (e.g. product management, design)
- Experience recruiting, scaling, and retaining engineering talent in a high growth environment
- Excellent leadership and communication skills
- Demonstrated success in building a culture of belonging, and of product and engineering excellence
- Startup experience, building products from zero to one
- Experience building APIs and/or developer products for external developers
Strong candidates may also have
- Expertise in modern web development stacks (React, Next.js, etc)
- Experience working on AI/ML products
Location Preference: Preference will be given to candidates based in the Bay Area as this position is part of an SF based team.
- 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.
How we're different
- 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.
