Staff Software Engineer, Growth
$320,000–$405,000 year
HybridNew York City, New York, United States or San Francisco, California, United States
Job Summary
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, subscription conversion, and overall product experience. Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements. This role drives user acquisition, engagement, retention, and monetization through data-driven strategies within a cross-functional team of engineers, data scientists, marketers, and product managers.
Required Qualifications
- Experience working on user growth (acquisition, activation, retention, monetization) or have worked in a revenue focused organization like ads
- Have experience full-stack development (web/React and backend), 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
- Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates
- Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
- Currently, we expect all staff to be in one of our offices at least 25% of the time
Desired Qualifications
- 5+ years of experience as a software engineer
- Have ideas for experiments to run to drive user growth or monetization
- Able to dive into data and identify opportunities
- Possess a vision for the future of AI product growth and a drive to make that vision a reality
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