People Operations Generalist

About Anthropic

Anthropics 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.

Anthropic is looking for a People Operations Generalist to join our People Services team. In this role youll support a wide variety of projects focused on our people systems and processes employee lifecycle operations and compliance initiatives. Youll work closely with crossfunctional partners including People Partners (HRBPs) Legal IT and Internal Tools to build seamless experiences that enable Ants (what we call our employees internally) to fit function and flourish in their roles.

Responsibilities

• Design and implement scalable People/HR processes that grow with the company while maintaining quality and consistency
• Proactively identify potential issues before they arise and develop preventative solutions
• Optimize processes in our people systems (including our HRIS Workday) to deliver a great user experience
• Lead compliance initiatives and reporting staying ahead of requirements across different global markets
• Partner with technical teams to leverage data for strategic decisionmaking and operational improvements
• Drive crossfunctional projects with clear documentation efficient and measurable outcomes
• Create intuitive selfservice solutions that enable Ants to help themselves while enhancing their overall experience
• Develop and maintain effective data reporting and analysis to inform People strategy and operations

You may be a good fit if you

• Have 810 years of People Operations/HR experience in a highgrowth company
  Have 4 years of experience with Workday HCM
  Are comfortable collaborating with technical teams to optimize systems and processes
  Have a solid understanding of compliance requirements and risk management
  Excel at project management with the ability to balance multiple priorities effectively
  Are organized and detailoriented particularly when handling sensitive employee data
  Are comfortable with basic data analysis and spreadsheets
  Communicate clearly and effectively both in writing and verbally

Strong candidates may also

• Have experience with other Workday modules
• Have experience with performance management systems and program management
• Have advanced data analysis skills and experience with spreadsheets

Deadline to apply:None. Applications will be reviewed on a rolling basis.

Logistics

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

Locationbased 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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

How were different

We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm 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. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact 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: GPT3 CircuitBased 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.