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 co…
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Carta
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Communications Specialist - Student Systems Transformation Project (Multiple Openings)
Seattle, Washington, United States · Remote OK
$61k–$78k/yr
Mid level$20M raised
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$320k–$405k/yr
Full-time
bachelor degree
Competitive Compensation, Optional Equity Donation Matching, Generous Vacation, Parental Leave, Flexible Working Hours, Office Space
Visa sponsorship available
Posted 3d ago
~40 hrs/week
Responsibilities
Develop technical solutions to drive user acquisition, activation, retention, and revenue growth. Collaborate with cross-functional teams to design and execute A/B tests to optimize the overall product experience.
Requirements
Requires experience in user growth or revenue-focused organizations with full-stack development skills in React and backend systems. A data-driven approach to problem-solving and a passion for scaling AI products are essential.
Full 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 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.
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
Industry
Research Services
Company size
501-1,000 employees
LinkedIn followers
4,093,883
Total funding
$129B
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.
Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
GamingEducationSoftwarePredictive AnalyticsInternet of ThingsOnline GamesManufacturingIncubatorsInformation TechnologyMedical Device
Based on 536 listings with disclosed salaries, most marketing jobs in Seattle, WA pay between $70k–$200k per year. Individual offers vary with seniority, company size, and specialization.
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