Software Engineer, Full-stack
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
About Anthropic
Anthropics 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
Anthropics Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. Youll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via the Anthropic API enterprise deployments Claude Code or mission-driven applications - and carry real end-to-end ownership.
Youll partner with engineering managers product leaders designers and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. Well look to you to have a product-oriented mindset and input own technical quality across the stack (performance accessibility reliability and developer experience) scale your efforts to millions of users on a global scale and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where theyll have the greatest impact and growth potential.
What youll do:
Developer Experience: Youll build the products and tools - console SDKs docs and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of whats possible with our models and API. That means building trust through great platform fundamentals inspiring developers to raise the bar in how they use Claudes capabilities and accelerating the path to agentic development by designing for both human and AI developers. Youll work closely with teams across the Platform org to turn Claudes newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources nonprofits schools healthcare providers researchers and economic mobility looking for a full-stack engineer to build the access programs tooling and product work that make frontier AI usable for teams that couldnt afford this capacity any other way.
Enterprise AI Products: Youll work on the products that make Claude a daily-use tool for enterprise customers across industries the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users arent activating whats blocking adoption and building the capabilities to close those of our focuses are:
- Extensibility plugins skills connectors and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
- Context enterprise knowledge organizational memory and the retrieval layer that makes Claude genuinely aware of a companys people documents and workflows. A connected contextual Claude is the difference between a general-purpose chatbot and a real coworker.
- Proactivity Cowork suggestions workflow capture ambient Claude inside the apps people already use. Moving from Claude answers when asked to Claude notices what you need.
Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. Were currently building for three verticals with more to come:
- Financial Services analysts and bankers building models memos and decks under deadline. Were building retrieval analysis and document generation that holds up to executive review.
- Healthcare clinical documentation prior auth and care coordination. Work where accuracy isnt a feature its the whole product and where compliance is part of the engineering.
- Legal contract analysis document review and matter management for teams that will read every word we generate and know immediately if its wrong.
Enterprise Foundations: Youll build the systems large organizations require before they can adopt Claude at scale: identity and permissions security and compliance controls and the admin analytics that let them see how its being used. This is the work that turns we love the demo into a signed enterprise role is part product part platform. Youll work closely with Product and GTM to understand what our largest customers need then build it once in a way that works across Claude Code and Cowork.
Growth: Drive user acquisition engagement retention and monetization through data-driven strategies and technical implementations. At Anthropic were not just building AI tools; were reimagining how AI can enhance and expand its user base! As a member of the growth team you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers data scientists marketers and product managers to design implement and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
- Have a minimum of 5 years of practical full-stack engineering experience
- Have led the design and delivery of complex consumer or B2B user-facing products across the full stack
- Are technically proficient inmodern frontend and backend development with demonstrated depth in key languages and frameworks (ie. React Typescript)
- Take a product-focused approach to building solutions that are robust scalable and easy to use
- Have worked in early start-up or otherwise fast moving rapidly evolving environments and have ideally built products from 0 to 1
- Have successfully driven cross-team alignment to get impactful work shipped and work with influence over authority
- Have experience establishing engineering standards component architectures and development best practices
- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in NY SEA SF or the Bay Area given the current location of teams.
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320000 - $320000 USD
Logistics
Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
How were 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. Were 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 aboutour policyfor using AI in our application process
Required Experience:
IC
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
