Staff+ Software Engineer, Enterprise
San Francisco, CA - USA
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
Enterprise is central to Anthropics mission. The organizations that could benefit most from Claude often have the most demanding needs with rigorous requirements around end-user experience procurement security and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly.
Were looking for a Staff Engineer to anchor our Enterprise pillarthe team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100000 employees the systems and products that you design are what make it possible.
This is a high-agency role that spans multiple efforts within Enterprise. Youll design Claude Enterprise to be widely distributed support our governance and connectivity story design abstractions that other teams want to adopt help the team evaluate tradeoffs and be the engineer in the room who can interface with executives from the worlds largest companies.
Responsibilities
Define and drive multi-year technical strategy including our distributability and multi-cloud strategy
Identify and personally lead the highest-complexity highest-impact engineering initiatives spanning multiple teams.
Serve as one of the primary technical decision-makers for major architectural decisions with org-wide scope.
Partner other teams such as Inference and Platform for foundational systems; Customer Success for the voice of customers with Infrastructure and Safeguards for security privacy and responsible deployment.
Mentor and develop Staff-level engineers across the org.
Drive alignment across Product GTM Customer Success and beyond while proactively identifying and addressing systemic technical risks.
You may be a good fit if you:
Have 10 years of engineering experience with a clear track record operating at Staff or Senior Staff level.
Have demonstrably shaped technical strategy for large-scale Cloud Service Provider or Enterprise SaaS companies
Drive the highest-leverage technical outcomes without formal authorityyou lead through influence quality of thinking and trust.
Have deep expertise in distributed systems and API architecture and are effective writing design docs making architectural calls and coding in critical paths.
Are highly effective across org boundariesyou build trust with GTM Platform Inference Infrastructure Privacy Safeguards and business stakeholders alike.
Bring strong domain expertise and intuition in enterprise areas such as security identity compliance governance permissions and connectivity.
Technical Stack
Languages: Python Golang Rust
Infrastructure: GCP AWS Azure Kubernetes
Databases: PostgreSQL (AlloyDB) Vector Stores Firestore Spanner
Tools: Feature Flagging Prometheus Grafana Datadog Claude Code
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:
$405000 - $485000 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 policy for 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.