Engineering Manager, Auth & Identity
full-time
lead
Posted 7 months ago
About this role
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
Minimum education: Bachelor’s 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
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