Jobs

Software Engineer, Growth
San Francisco, CA | New York City, NY | Seattle, WA
·
On-site
·
Full-time
·
1mo ago
Compensation
$300,000 - $405,000
Benefits & Perks
•Team events
•Competitive base salary and bonus
•Comprehensive benefits
•Professional development
•Learning
Required Skills
SQL
Figma
Amplitude
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 growth engineers to join our Claude.AI growth team. This key role will help drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
Responsibilities:
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Develop and implement technical solutions to support user acquisition, activation, retention, and revenue growth
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Design and execute A/B tests and experiments to optimize user onboarding, feature adoption, subscription conversion, and overall product experience
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Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements
You may be a good fit if you:
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Have 2+ years of experience as a software engineer, with experience working on user growth (acquisition, activation, retention) or work on ads or monetization
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Have strong practical coding skills, ideally in full-stack development (web and backend), and experience with data analysis and experimentation frameworks
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Take a data-driven approach to problem-solving, with a keen eye for identifying patterns and opportunities in user behavior and metrics
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Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products
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Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates
Strong candidates may have:
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Have ideas for experiments to run to drive user growth or monetization
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Be able to dive into data and identify opportunities
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Possess a vision for the future of AI product growth and a drive to make that vision a reality
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. 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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