Anthropic Logo

Anthropic

Engineering Manager, Auth & Identity

Reposted 3 Days Ago
Be an Early Applicant
Easy Apply
In-Office
New York, NY, USA
320K-405K Annually
Mid level
Easy Apply
In-Office
New York, NY, USA
320K-405K Annually
Mid level
Manage a team of engineers developing AI capabilities, collaborating with stakeholders, and fostering platform development while ensuring team growth and stability.
The summary above was generated by AI
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:

We are looking for an Engineering Manager to join our Platform org to lead and grow teams of software engineers working on foundational platform capabilities. You'll be responsible for defining and executing the creation of shared product capabilities at the core of Anthropic's product surfaces, while maintaining clear direction and stability for your team.

You'll partner closely with product managers, engineering leadership, talented engineers and research teams to transform emerging AI capabilities into platform capabilities. Success in this role requires a strong ability to understand stakeholder needs, identify opportunities to share capabilities across products, understand our product and roadmap deeply, and the ability to facilitate rapid iterations to improve our product suite.

Auth & Identity: We build and maintain infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments. This team is based in New York.

About Product Foundations:

Product Foundations serves as an internal capabilities team building product infrastructure, shared components and focusing significant energy on cross functional efforts including reliability, latency and efficiency. Our mandate is to build and maintain the foundational platforms, infrastructure and abstractions that enable Anthropic's products to operate securely, reliably, and efficiently at scale while accelerating product development across the organization. We embed with product engineering teams to provide platform perspective, build shared mvp capabilities, and align to a shared vision for success.

Responsibilities:
  • Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development
  • Partner effectively with engineering and product leaders to align on direction and execution
  • Create a balanced environment that encourages both iterative improvement and rigorous evaluation
  • Provide clear, actionable feedback and support for engineer growth and development
  • Help partner teams develop approaches for sharing capabilities and partnering to evolve our platform alongside the sophistication of our products and users
  • Drive adoption of platform capabilities and learnings to inform company-wide product strategy and planning
  • Represent the platform perspective and roadmap in discussions with research, product, and leadership stakeholders
You may be a good fit if you have:
  • Have 3+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments
  • Excel at creating psychological safety and helping teams navigate uncertainty
  • Demonstrate strong interpersonal skills and ability to guide teams through rapidly evolving organization priorities while building underlying stable platforms
  • Have excellent cross-functional leadership skills to build alignment between research, engineering and product
  • Are skilled at facilitating decision-making rather than imposing solutions
  • Have expertise in mentoring and investing energy into team culture
  • Have excellent communication skills to represent the importance of and need to invest in platform capabilities at the core of our products
  • Have a comprehensive technical understanding of modern software product development processes and technical stacks. Experience of AI/ML is a bonus
  • Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission
Strong candidates may also have experience with:
  • Building products from zero to one in a startup environment
  • Expertise in modern web development stacks (React, Next.js, etc)
  • Experience working on AI/ML products
  • Experience with identity management, authentication systems, and enterprise security standards

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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:
$320,000$405,000 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 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.

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.

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

Top Skills

Ai/Ml
Next.Js
React

Similar Jobs

An Hour Ago
Easy Apply
Hybrid
Brooklyn, NY, USA
Easy Apply
145K-170K Annually
Senior level
145K-170K Annually
Senior level
Artificial Intelligence • Machine Learning • Software
The Executive Assistant will manage the CEO's calendar, communication, logistics, and meetings while ensuring operational efficiency and confidentiality in the office of the CEO.
3 Hours Ago
Remote or Hybrid
United States
112K-186K Annually
Senior level
112K-186K Annually
Senior level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
The Senior Manager, Key Account Marketing leads remarketing strategy for high-value clients, managing comprehensive campaign development, analytics, and cross-functional collaboration to drive growth and client satisfaction.
Top Skills: Ai-Enabled ToolsCrm PlatformsMarketing Analytics ToolsSalesforce
5 Hours Ago
Hybrid
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Other • Retail • Sales • Wearables • Design
The Temporary Associate will assist customers with product selection, provide styling advice, and maintain store operations while driving sales through customer engagement.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account