- Company Name
- Anthropic
- Job Title
- Software Engineer, Growth
- Job Description
-
Job Title: Software Engineer, Growth
Role Summary:
Implement and optimize technical solutions that drive user acquisition, activation, retention, and monetization for an AI‑powered product. Work cross‑functionally with engineering, data science, marketing, and product teams to design experiments, build growth frameworks, and translate data insights into scalable product enhancements.
Expactations:
* Minimum 2 years of software engineering experience focused on user growth, ads, or monetization.
* Strong full‑stack coding skills (frontend and backend).
* Practical experience with data analysis, experimentation, and A/B testing frameworks.
* Data‑driven problem‑solving mindset; ability to identify patterns in user behavior and metrics.
* Comfortable in fast‑paced, collaborative environment and adept at partnering across disciplines.
* Passion for scaling AI products and contributing to broad user impact.
Key Responsibilities:
* Design, develop, and maintain technical systems that support acquisition, onboarding, feature adoption, subscription conversion, and retention workflows.
* Plan, execute, and analyze A/B tests and experiments to improve user experience and revenue metrics.
* Collaborate with product and marketing teams to identify growth opportunities and translate them into functional requirements.
* Build and maintain experimentation and analytics pipelines that enable rapid hypothesis testing and result interpretation.
* Iterate on growth initiatives based on data insights, performance metrics, and stakeholder feedback.
Required Skills:
* Proficiency in modern web and backend technologies (e.g., JavaScript/TypeScript, Node.js, Python, Go, Java, etc.).
* Experience building and scaling full‑stack applications.
* Familiarity with A/B testing libraries and experimentation platforms (e.g., Optimizely, LaunchDarkly, FeatureFlags, or in‑house solutions).
* Strong analytical skills; comfortable working with SQL, data visualization, and statistical methods.
* Ability to decompose complex problems, design experiments, and interpret results.
* Excellent communication skills for cross‑functional collaboration.
Required Education & Certifications:
* Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.