What are the responsibilities and job description for the Software Engineer, Growth position at Anthropic?
About the role
We are looking for growth engineers to join our Claude.ai product team as founding members of our growth initiative. These key roles will help drive user acquisition, engagement, and retention 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 founding member of the growth team, you will have a unique opportunity to shape our growth strategy from the ground up. 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:
- Develop and implement technical solutions to support user acquisition, activation, retention, and revenue growth
- Design and execute A/B tests and experiments to optimize user onboarding, feature adoption, and overall product experience
- Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements
- Implement tracking and attribution systems to understand user behavior and measure the effectiveness of growth initiatives
- Contribute to the development of AI-powered personalization and recommendation systems to enhance user engagement
You might be a good fit if you:
- Have 6 years of experience as a software engineer, with a focus on growth engineering or related fields
- Have strong practical coding skills, ideally in full-stack development, and experience with data analysis and experimentation frameworks
- Take a data-driven approach to problem-solving, with a keen eye for identifying patterns and opportunities in user behavior and metrics
- Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products
- Have 0 to 1 experience with a proclivity towards rapid experimentation and learning, while maintaining high standards for code quality and user experience
- Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates
Strong candidates may also:
- Have experience with machine learning and AI technologies, particularly in the context of personalization and recommendation systems
- Have experience with product-led growth strategies and implementing viral loops
- Have experience with user segmentation and cohort analysis
- Possess a vision for the future of AI product growth and a drive to make that vision a reality
