We are hiring a Product Support Specialist to join Anthropic. As the first person dedicated to product support at Anthropic, you’ll be at the front lines of safely delivering AI to the world. By responding to, investigating, and tracking user needs, you will help ensure users have a great experience on Anthropic products. You’ll also be a key driver in building the scalable foundations for support as our user base grows, informing internal efficiencies and ways for users to self-serve (or not need help at all!).
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.
- Responding to support tickets
- Working with engineers and other team members to resolve user issues
- Building support processes, for example: systems for sorting tickets, internal and user-facing documentation, feedback from support to inform product development, generate ideas for internal tooling and user-facing solutions to increase efficiency and reduce contact rates
You may be a good fit if you:
- Have experience with product support or related functions, like customer success (ideally 1-3+ years)
- Possess high user empathy — you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
- Have crisp written communication skills and high conscientiousness — users who need help are often confused and you’ll talk to them, ask the right questions, and sweat the details
- Have experience thriving in fast-paced, high-volume, reactive situations — you’re great at prioritizing multiple demands, and knowing when to drop tasks
- Are curious and love solving problems — users don’t always tell you clearly what their problem is, and often their problem is indicative of a larger, strategic product issue.
- Enjoy the hunt to track down a bug or issue, and are energized by fixing this for all similar users going forward
- Have experience and enjoy doing behind-the-scenes work — this is essential, highly valuable, but unglamorous work
- Are interested in Anthropic’s products, and producitizing large language models in general — for example, it will be hard to help users with their issues if you don’t understand the technical aspects of the product yourself
- Can solve thousands of tickets, write a user-facing FAQ and develop a categorization system for support tickets in the first 3 months
- The expected salary range for this position is $115k – $130k.
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
US visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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 – On top of this position’s salary (listed above), 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.
Benefits – Benefits we offer include:
– Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
– Comprehensive health, dental, and vision insurance for you and all your dependents.
– 401(k) plan with 4% matching.
– 21 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.
* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. 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. We’re trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.
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