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:

The Support Operations team at Anthropic is dedicated to optimizing and scaling the Product Support function to deliver exceptional user experiences. As a Support Operations Specialist focusing on Learning and Education, you will own the programs that develop and grow our Product Support team's capabilities. This includes designing and running onboarding for new team members, program managing continuing education initiatives (such as "booster" trainings on complex topics or areas needing reinforcement), and driving enablement around product releases. You'll partner closely with the broader Product Support team on internal knowledge management strategy, ensuring our team has the expertise to handle any question that comes their way.

Responsibilities:

• Design, implement, and continuously improve the onboarding program for new Product Support team members

• Program manage continuing education initiatives, including identifying training needs, developing curriculum, and measuring effectiveness

• Lead release enablement efforts, ensuring the Support team has the resources and knowledge to support new products and features

• Partner on internal knowledge management strategy, ensuring our team can efficiently access and contribute to shared expertise

• Build feedback loops to understand where the team needs additional support or training

You might be a good fit if you:

• Have 4+ years of experience in learning & development, enablement, support operations, or similar roles in a technology company

• Demonstrate a data-driven approach, using metrics and insights to continuously improve programs and measure training effectiveness

• Possess strong communication skills with the ability to distill complex technical concepts into engaging learning experiences

• Excel at cross-functional collaboration, particularly with Product, Engineering, and Support teams

• Are proactive and solutions-oriented, with excellent program management abilities

• Thrive in a fast-paced environment and can adapt quickly to evolving products and priorities

• Have a passion for AI technology and helping others build their expertise

Strong candidates may also have:

• Background in instructional design or adult learning principles

• Experience building or scaling onboarding or L&D programs from early stages

• Experience with support or customer-facing teams specifically

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:

$131,040—$165,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.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. 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