Product Support Specialist
Anthropic · Boston, MA | San Francisco, CA | New York City, NY | Seattle, WA | Washington, DC · Product Management, Support, & Operations
About this role
Anthropic is hiring a mid-level Support Engineer in the services function based in Boston, MA | San Francisco, CA | New York City, NY | Seattle, WA | Washington, DC. The posting calls out experience with Python, JavaScript, SQL, Bash. Compensation is listed at $116,480–$165,000 per year.
- Role
- Support Engineer
- Function
- services
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Boston, MA | San Francisco, CA | New York City, NY | Seattle, WA | Washington, DC
- Department
- Product Management, Support, & Operations
More roles at Anthropic
Job description
from Anthropic careersAbout 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:
As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.
Responsibilities:
- Become an expert in all Anthropic products
- Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses
- Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
- Manage on-call tasks for high-urgency user issues with extreme ownership
- Prioritize critically and comfortably adapt to an ever-evolving product landscape
- Operate in ambiguity, making informed decisions even in never-before-seen situations