招聘

Engineering Manager, Product Platform & Accounts Platform
New York City, NY; San Francisco, CA; Seattle, WA
·
On-site
·
Full-time
·
2mo ago
薪酬
$320,000 - $405,000
福利待遇
•Learning
•Parental Leave
必备技能
Jira
Confluence
Mixpanel
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 Engineering Managers to join our Product Foundations 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.
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:
Product Platform: We provide shared product capabilities leveraged by Claude.ai, API and other internal teams. You'll lead engineers working on core platform components like rate limiting, LLM sampling and multimodal processing. This team is based in Seattle and San Francisco.
Accounts Platform: We build and maintain critical infrastructure that powers identity and authentication across Anthropic's product suite. You'll lead cross-functional platform efforts supporting authentication, identity management, OAuth, Enterprise SSO/SCIM, and key management across Claude.ai, Claude Code, and API users. 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:
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Lead and coach a high-performing team of software engineers through the complexities of 0-1 platform development
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Partner effectively with engineering and product leaders to align on direction and execution
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Create a balanced environment that encourages both iterative improvement and rigorous evaluation
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Provide clear, actionable feedback and support for engineer growth and development
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Help partner teams develop approaches for sharing capabilities and partnering to evolve our platform alongside the sophistication of our products and users
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Drive adoption of platform capabilities and learnings to inform company-wide product strategy and planning
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Represent the platform perspective and roadmap in discussions with research, product, and leadership stakeholders
You may be a good fit if you have:
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Have 3+ years of engineering management experience leading high-performing teams in ambiguous, early-stage environments
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Excel at creating psychological safety and helping teams navigate uncertainty
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Demonstrate strong interpersonal skills and ability to guide teams through rapidly evolving organization priorities while building underlying stable platforms
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Have excellent cross-functional leadership skills to build alignment between research, engineering and product
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Are skilled at facilitating decision-making rather than imposing solutions
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Have expertise in mentoring and investing energy into team culture
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Have excellent communication skills to represent the importance of and need to invest in platform capabilities at the core of our products
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Have a comprehensive technical understanding of modern software product development processes and technical stacks. Experience of AI/ML is a bonus
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Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission
Strong candidates may also have experience with:
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Building products from zero to one in a startup environment
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Expertise in modern web development stacks (React, Next.js, etc)
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Experience working on AI/ML products
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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. 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
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关于Anthropic

Anthropic
Series FAnthropic PBC is an American artificial intelligence (AI) company headquartered in San Francisco. It has developed a range of large language models (LLMs) named Claude.
1,001-5,000
员工数
San Francisco
总部位置
$60B
企业估值
评价
4.2
10条评价
工作生活平衡
2.8
薪酬
4.0
企业文化
4.2
职业发展
3.0
管理层
3.5
75%
推荐给朋友
优点
Innovative and cutting-edge technology projects
Supportive and collaborative team environment
Good compensation and benefits
缺点
Poor work-life balance and long hours
High expectations and stress levels
Limited career advancement opportunities
薪资范围
53个数据点
Senior/L5
Senior/L5 · Analytics Engineer
1份报告
$409,500
年薪总额
基本工资
$315,000
股票
-
奖金
-
$409,500
$409,500
面试经验
1次面试
难度
3.0
/ 5
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
AI/ML Knowledge
新闻动态
Anthropic Interview Experience (Software Engineer Role)
Detailed interview experience covering coding assessment, system design, and culture fit. Notes interview difficulty and long process.
News
·
NaNw ago
Anthropic Company Reviews & WLB Discussions
4.8/5 overall rating. Compensation rated 4.9/5, Work-Life Balance rated 3.6/5 (lowest). Reports of 60+ hour weeks during peak periods.
News
·
NaNw ago
Anthropic Interview Experience & Questions
35.2% positive interview experience. Difficulty rating 3.29/5. Average hiring timeline 20 days. Some report 'worst interview' with rude hiring managers.
News
·
NaNw ago
Anthropic Reviews: Pros & Cons of Working At Anthropic
4.4/5 rating. 95% recommend to friend. Praised for mission-driven culture and compensation. Criticized for work-life balance and chaotic priorities.
News
·
NaNw ago