Engineering Manager, Business Technology
Anthropic · San Francisco, CA | New York City, NY ·
- Category
- Management
- Experience
- 2+ years
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
Anthropic is looking for an empathetic engineering manager to lead a team building internal tools that enable and increase productivity for our employees, especially tools for security, authorization and automation. You'll partner closely with internal users to understand needs and set direction for efficient solutions, often augmenting the tools with Claude for a greater experience and impact. On the Business Technology team, we are passionate about delighting and enabling our users through thoughtful and easy-to-use everyday solutions. At Anthropic, we're building towards an ambitious mission of ensuring AI systems are safe and beneficial to humanity. Our team plays a crucial role in this mission by enabling our teams to work efficiently and securely at scale.
Responsibilities
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Lead and grow a team of engineers building full-stack internal tools for business-critical use cases
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Partner with different teams to deeply understand their workflows and identify opportunities for improved productivity through engineering
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Set technical direction and prioritize roadmap initiatives that drive the most impact for internal users
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Foster a culture of rapid iteration, user feedback, and continuous improvement within the team
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Champion best practices in API design, security, and user experience across the team
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Monitor system reliability, build for operational excellence, and own incident response processes
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Hire, develop, and retain top engineering talent
You may be a good fit if you
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Have 7+ years of experience in software engineering, with 2+ years in an engineering management role
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Have a track record of building and shipping production full-stack software with a focus on usability
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Have experience leading teams building and maintaining scalable internal applications and platforms
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Demonstrate strong technical judgment across modern web development (React, TypeScript, Node.js, Python, Go) and cloud technologies (AWS/GCP/Azure)
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Are skilled at translating ambiguous user needs into clear technical direction and priorities
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Communicate with empathy and strive to build strong relationships with stakeholders and direct reports alike
Strong candidates may also
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Have experience building engineering roadmaps and aligning them with broader business objectives
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Bring a track record of developing engineers through coaching, mentoring, and structured feedback
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Have experience balancing trade-offs across security, privacy, reliability, and user experience at scale
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Have experience with Identity and Access Management tools and security best practices
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Excel at cross-functional collaboration and building alignment across teams with differing priorities
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Have experience anticipating changing business needs and translating them into adaptive technical strategies
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.
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 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 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.