Full-Time
Engineering Manager
Claude Code
Posted on 5/28/2025
Anthropic
5,001-10,000 employees
Develops reliable, interpretable AI systems
Compensation Overview
$320k - $485k/yr
H1B Sponsorship Available
Seattle, WA, USA + 2 more
More locations: San Francisco, CA, USA | New York, NY, USA
In Person
Location-based hybrid policy: employees must be in one of the listed offices at least 25% of the time.
 Engineering Management (1) |
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- 5+ years of software engineering experience, including 2+ years in engineering management or technical leadership roles
- Excel at both writing production code and leading engineering teams, with experience shipping complex features from concept to deployment
- Bring strong technical skills across modern web technologies, cloud infrastructure, and distributed systems
- Have experience working with enterprise customers and translating their needs into scalable product features
- Thrive in ambiguous, fast-paced environments and can balance multiple priorities while maintaining team focus
- Are passionate about developer tools and have deep familiarity with IDEs, development workflows, and what makes engineers productive
- Value both technical excellence and pragmatic delivery, knowing when to build for the long term vs. ship quickly
- Bachelor’s degree in a related field or equivalent experience
- Design, build, and maintain core features across Claude Code's full stack. Spend the majority of effort writing and reviewing code
- Lead and develop the Claude Code engineering team, including hiring, performance management, career development, and fostering team culture
- Partner with the other engineering manager to facilitate cross-team alignment, coordinate execution across distributed engineering efforts, and ensure clear communication of technical decisions and priorities
- Prioritize and develop capabilities that address common enterprise customer needs across multiple use cases, ensuring feature investments deliver broad value. Partner with customers to understand their needs
- Work closely with researchers, product managers, and designers to translate user needs and research insights into robust technical solutions
- Stay deeply connected to the developer experience by actively using Claude Code, engaging with both internal and external users, and maintaining expertise in modern development environments, tools, and workflows
- Ensure high code quality, robust testing, and scalable architecture across all team deliverables while balancing rapid iteration with long-term maintainability and security requirements. Tend to the team's developer experience by maintaining clean development workflows, simple onboarding, and efficient paths from development to production
- Project management for extremely fast-moving projects
- Mentoring junior team members
- Leading cross-functional initiatives with demonstrated influence across organizational boundaries
- Public speaking or presenting technical content
- Client-facing communication
- Building widely-used tools for software development, especially CLIs
- Implementing continuous improvement processes
- Performance optimization and troubleshooting
- Evaluating and testing new technologies and coding products
- Working effectively within expanding organizational frameworks
Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.
Company Size
5,001-10,000
Company Stage
Late Stage VC
Total Funding
$77.3B
Headquarters
San Francisco, California
Founded
2021
Simplify's Take
What believers are saying
- Anthropic signed $1.8B seven-year cloud deal with Akamai in 2026.
- Anthropic accesses 220,000 Nvidia GPUs via SpaceX Colossus lease.
- Anthropic fields $1tn valuation offers amid $40B annualized revenue.
What critics are saying
- Litigation erupts in 3-6 months from voiding Forge and Hiive trades.
- SpaceX reclaims GPUs in 12-24 months if Claude harms humanity.
- South Korea and Singapore regulators ban Claude in 6-12 months.
What makes Anthropic unique
- Anthropic pioneered constitutional AI to train Claude models on ethical principles.
- Anthropic operates as public benefit corporation prioritizing AI safety and reliability.
- Anthropic founded in 2021 by ex-OpenAI leaders Dario and Daniela Amodei.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↓ -3%1 year growth
↓ -3%2 year growth
↑ 1%Mozilla has discovered 271 security vulnerabilities in Firefox 150 using early access to Anthropic's Mythos Preview AI model. The findings represent a significant increase from the 22 bugs detected by Anthropic's Opus 4.6 model in Firefox 148 last month. Firefox CTO Bobby Holley said Mythos is "every bit as capable" as the world's best security researchers, whilst eliminating the need to "concentrate many months of costly human effort to find a single bug". He believes AI tools like Mythos tilt the cybersecurity balance towards defenders by making vulnerability discovery cheaper. Anthropic released Mythos Preview to a limited group of industry partners earlier this month. Mozilla CTO Raffi Krikorian argues such tools are particularly crucial for open source projects, which often rely on insufficient volunteer maintenance for security.
Anthropic's new AI model Mythos has sparked concern amongst policymakers at International Monetary Fund meetings over its potential to accelerate sophisticated cyberattacks on the global financial system. However, its developers argue the technology could provide banks with their strongest defence yet. What distinguishes Mythos is its ability to chain multiple security weaknesses into coordinated attacks, effectively automating complex cyber intrusions. This capability could significantly expand the pool of potential attackers in the near term. The model's creators emphasise a longer-term benefit: the same technology could enable banks to detect and patch vulnerabilities faster than ever, potentially shifting the balance towards defenders if widely adopted. The dual-use nature of Mythos has created both panic and optimism in boardrooms and governments regarding global financial system security.
Indian fintech companies including One97 Communications, Razorpay Software and Pine Labs are pushing Anthropic for early access to Mythos, the AI model that has raised global concerns about cyberattack risks. The firms want to test Mythos on their own systems to detect vulnerabilities following Anthropic's announcement of a limited rollout. The San Francisco-based AI developer considers the model too dangerous for wider release but major Indian financial technology companies are seeking early access to assess potential security threats to their platforms.
The US government is preparing to provide major federal agencies with access to Anthropic's new AI model, Mythos, according to a memo reviewed by Bloomberg News. Gregory Barbaccia, federal chief information officer at the White House Office of Management and Budget, informed Cabinet department officials on Tuesday that OMB is establishing protections to enable agencies to use the closely guarded AI tool. The move comes amid concerns that the powerful model could significantly increase cybersecurity risks. OMB is working to set up appropriate safeguards before rolling out access to the system across government departments.
Anthropic's new Mythos AI model is causing concern among banks, tech giants and governments over its potential implications for cybersecurity and the internet's future. The model has prompted a scramble amongst major institutions to understand its capabilities and risks. Details about the specific features raising alarms were not disclosed in the source material.