Software Engineer, Growth

Company: Menlo Ventures
Location: San Francisco
Posted on: November 6, 2024

Job Description:

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 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 Logistics 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. Compensation and Benefits Anthropic's compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates. Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance. US Benefits - The following benefits are for our US-based employees:
      • Optional equity donation matching.
      • Comprehensive health, dental, and vision insurance for you and all your dependents.
      • 401(k) plan with 4% matching.
      • 22 weeks of paid parental leave.
      • Unlimited PTO - most staff take between 4-6 weeks each year, sometimes more!
      • Stipends for education, home office improvements, commuting, and wellness.
      • Fertility benefits via Carrot.
      • Daily lunches and snacks in our office.
      • Relocation support for those moving to the Bay Area. UK Benefits - The following benefits are for our UK-based employees:
        • Optional equity donation matching.
        • Private health, dental, and vision insurance for you and your dependents.
        • Pension contribution (matching 4% of your salary).
        • 21 weeks of paid parental leave.
        • Unlimited PTO - most staff take between 4-6 weeks each year, sometimes more!
        • Health cash plan.
        • Life insurance and income protection.
        • Daily lunches and snacks in our office. This compensation and benefits information is based on Anthropic's good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial. 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.
          #J-18808-Ljbffr

Keywords: Menlo Ventures, Tracy , Software Engineer, Growth, IT / Software / Systems , San Francisco, California