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
Anthropic is looking for a People Operations Lead to join our People Services team. We're a small team that keeps onboarding, offboarding, employee support, and the rest of the employee lifecycle running as the company grows. We're at the stage where the processes that got us here need to become the systems that take us further, and we're hiring a senior individual contributor to help drive this work.
In this role, you will contribute to our vision, analyze our current state, and then get hands-on to build our future state. You’ll build some of these new processes and workflows yourself, and others will be built in partnership with more technical teams (e.g. People Systems). Our work doesn’t exist in a silo, so you’ll work closely with other People teams and cross-functional partners like IT, Legal, Finance, and Security to improve workflows end-to-end. We have a solid foundation with a lot left to build, and you'll help shape what comes next.
Responsibilities:
Process Improvement & Transformation
- Proactively identify opportunities to streamline and connect processes within and beyond our team
- Map processes end to end to see how things currently run, find where they break or slow down, and propose solutions
- Design and build improved processes yourself, or document the requirements and partner with technical teams to build them
- Improve cross-functional processes by partnering with other People teams and teams across the org (IT, Security, Legal, Finance)
- Manage our employee support experience, focusing on improving our tooling and analyzing data to drive continuous improvement
- Collect feedback from employees and partner teams to make sure we are focusing on areas that drive the most impact
Data Integrity & Governance
- Build and manage automated processes to audit and maintain the quality of our workforce data
- Support internal and external audits with process documentation and evidence
- Document runbooks and SOPs for our processes and systems
You might be a good fit if you:
- Have 6–10+ years in People/HR Operations and have scaled People Ops functions in-house
- Have hands-on experience converting manual processes into scalable systems
- Learn systems quickly and enjoy figuring out how things work under the hood
- Communicate clearly with business and technical teams, flexing your communication style for your audience
- Form strong cross-functional partnerships to collaborate on processes with upstream/downstream impacts
- Move quickly without sacrificing quality or introducing risk
- Have managed processes and data in enterprise HR systems (e.g. Workday) — configuration experience isn't necessary
- Have managed employee support through ticketing systems (e.g. Jira)
Strong candidates may also have:
- Experience using light code (e.g. Google Apps Script) to optimize People Ops processes
- Experience using AI to build new People Ops workflows
- Experience with internal controls and enterprise audits (e.g. SOC 2, SOX, ISO)
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:
$220,000—$290,000 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