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 product 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 field, and strong fullstack practical coding skills
- 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
- Have experience with data analysis and experimentation frameworks
- Have prior experience operating in the capacity of a product manager
- Possess a vision for the future of AI product growth and a drive to make that vision a reality
The expected salary range for this position is:
Annual Salary:
$300,000—$405,000 USD
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.
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.
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
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What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
