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Software Development

Staff Software Engineer, Growth

Anthropic · San Francisco, CA / New York City, NY / Seattle, WA

Software DevelopmentSan Francisco, CA / New York City, NY / Seattle, WA$320,000 – $405,000 USD
RemoteJobs editorial overview

Strategic Overview

Staff Software Engineer, Growth at Anthropic is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as 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.

The role is listed for San Francisco, CA / New York City, NY / Seattle, WA with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationSan Francisco, CA / New York City, NY / Seattle, WA
Experience5+ years of experience
Salary$320,000 – $405,000 USD
PostedJul 21, 2026
Last seenOct 25, 2026
Role context

About This Role

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.

What the role delivers

Key Responsibilities & Objectives

  • 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
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 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
Compensation & benefits

Salary & Benefits

Published compensation: $320,000 – $405,000 USD

  • Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products
  • Possess a vision for the future of AI product growth and a drive to make that vision a reality
Live market comparison

Salary Benchmark

This role’s published compensation is compared with current employer-disclosed salary ranges for the same role at the Staff level in the same currency.

This job$320,000 – $405,000 USD
Current market range$120 – $625,000
Comparable jobs143

Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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 growth team. This key role will help drive user acquisition, engagement, retention, and monetization 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 member of the growth team, you will have a unique opportunity to shape our growth strategy. 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.

Key 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, subscription conversion, and overall product experience
  • Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements

Minimum 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

Preferred 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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
$320,000—$405,000 USD

Logistics

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

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Develop and implement technical solutions to support user acquisition, activation, retention, and revenue growth — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencygreenhouse

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.