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Anthropic PBC Engineering Manager, Cloud Inference AWS in Seattle, Washington

Responsibilities:
  • Set technical strategy and oversee development of Claude on AWS across all layers of the technical stack.
  • Collaborate across teams and companies to deeply understand product, infrastructure, operations and capacity needs, identifying potential solutions to support frontier LLM serving
  • Work closely with cross-functional stakeholders across companies to align on goals and drive outcomes
  • Create clarity for the team and stakeholders in an ambiguous and evolving environment
  • Take an inclusive approach to hiring and coaching top technical talent, and support a high performing team
  • Design and run processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice
You may be a good fit if you:
  • Have 10+ years of experience in high-scale, high-reliability software development, particularly infrastructure or capacity management
  • Have 5+ years of engineering management experience
  • Experience recruiting, scaling, and retaining engineering talent in a high growth environment
  • Have experience scaling products, resources and operations to accommodate rapid growth
  • Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
  • Excel at building strong relationships and strategy with stakeholders across engineering, product, finance, and sales
  • Have experience working with external partners to align goals and deliver impact
  • Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
  • Have excellent written and verbal communication skills
  • Demonstrated success building a culture of belonging and engineering excellence
  • Are motivated by developing AI responsibly and safely
  • Are willing and able to travel frequently between Seattle and the SF Bay Area
Strong candidates may also have experience with:
  • Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
  • Experience as a Product Manager
  • Experience with deployment and capacity management automation
  • Security and privacy best practice expertise

     

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.

Annual Salary:

$405,000 - $485,000 USD

Logistics

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

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