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Software Engineer, Business Technology
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA
·
Remote
·
Full-time
·
1mo ago
Compensation
$300,000 - $405,000
Benefits & Perks
•Professional development
•Competitive base salary and bonus
•Comprehensive benefits
•Team events
•Learning
Required Skills
Confluence
Amplitude
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
Anthropic is looking for an empathetic engineer to build internal tools that enable and increase productivity for our employees, especially tools for security, authorization and automation. You'll collaborate closely with internal users to understand needs and create 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:
-
Rapidly design, prototype and build full-stack internal tools for business-critical use cases
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Consult with different teams to deeply understand their workflows and identify opportunities for improved productivity through engineering
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Iterate rapidly based on user feedback to continuously improve our tools
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Create intuitive interfaces that make complex tasks simple and efficient
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Monitor system reliability, build for operational excellence, and lead incident response when issues arise
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Champion best practices in API design, security, and user experience
You may be a good fit if you:
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Have 5+ years experience building production, full-stack software with a focus on usability
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Have experience building and maintaining scalable internal applications and platforms
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Excel at modern web development (React, TypeScript, Node.js, Python, Go)
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Bring strong experience with cloud technologies and services (AWS/GCP/Azure)
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Demonstrate a focus on reliability and iterative improvement
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Communicate with empathy and strive to understand user needs
Strong candidates may also:
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Enjoy collaborating cross-team and working with users to gain alignment on requirements and functionality
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Have experience implementing accessibility best practices to ensure products are usable and beneficial for all users
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Have experience balancing trade-offs while maintaining security, privacy, and reliability standards
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Have experience with Identity and Access Management tools
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Coach and mentor other engineers
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Have experience anticipating changing business needs to create technical roadmaps
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:
$300,000—$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
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About Anthropic

Anthropic
Series FAn AI safety and research company that builds reliable, interpretable, and steerable AI systems.
1,001-5,000
Employees
San Francisco
Headquarters
$60B
Valuation
Reviews
4.5
20 reviews
Work Life Balance
3.0
Compensation
4.5
Culture
4.8
Career
4.2
Management
3.5
100%
Recommend to a Friend
Pros
Exceptional team quality and talent
Cutting-edge AI and technical work
Strong mission-driven culture
Cons
Long working hours
Opaque leadership and management
High learning curve and fast pace
Salary Ranges
31 data points
Senior/L5
Senior/L5 · Analytics Engineer
1 reports
$409,500
total / year
Base
$315,000
Stock
-
Bonus
-
$409,500
$409,500
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
System Design Round
6
Final Round/Onsite
7
Offer
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ML/AI Concepts
News & Buzz
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.
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4.4/5 rating. 95% recommend to friend. Praised for mission-driven culture and compensation. Criticized for work-life balance and chaotic priorities.
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Detailed interview experience covering coding assessment, system design, and culture fit. Notes interview difficulty and long process.
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My 2025 Anthropic Software Engineer Interview Experience
First-hand account of interview process including 90-min CodeSignal, system design, and culture rounds. Describes process as rigorous but fair.
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