Anthropic
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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.
As Anthropic continues to grow, the rigor and sophistication of how we plan our workforce needs to grow with us, and our People Analytics team plays a central role in that work.
We are looking for a Workforce Planning Lead to own how Anthropic plans, forecasts, and tracks its workforce, from the underlying data and tooling, to forecasting models, to the cadence and partnership that connects workforce decisions to business strategy. The person in this seat will shape the next chapter of how workforce planning runs at Anthropic.
The role is highly cross-functional. You will partner closely with Recruiting, Finance, People Partners (HRBPs), talent leaders, and business leaders across the company to understand headcount needs, model tradeoffs, and translate strategy into workforce plans. Strong grounding in people analytics methods, judgment, and a generalist orientation are essential. Scope will at times extend beyond traditional workforce planning into broader People Analytics work.
Workforce planning process and strategic partnership
Lead recurring company-wide headcount planning cycles and the ongoing rhythms of review, monitoring, and adjustment that keep plans connected to the business. Partner with Finance, Recruiting, and talent leaders to translate business strategy into workforce implications, including hiring plans, capacity needs, location considerations, and workforce mix. Help inform where and how Anthropic grows over time. Strengthen the underlying infrastructure that supports planning, including position management, governance of core workforce data, and consistency across our people systems. Be a trusted thought partner when growth plans are set, organizational design is evaluated, or new initiatives are resourced, providing the data and modeling that lets leaders make decisions.
Forecasting and scenario modeling
Build and maintain quantitative models for headcount forecasting, attrition projection, hiring plan scenario analysis, and capacity planning. Develop scenario analyses that quantify tradeoffs across growth plans, hiring assumptions, attrition rates, and budget considerations. Identify supply and demand gaps before they become bottlenecks.
Analytics, dashboards, and insight
Build self-service dashboards for executives, functional leaders, and managers showing current state, plan versus actual, pipeline health, and key workforce metrics. Develop predictive analytics including attrition risk, hiring velocity forecasting, and supply/demand gap identification. Translate analysis into clear narratives that drive decisions.
Cross-functional execution
Provide hands-on operational support during structural change, including reorganizations, new team formation, and rapid scaling of a function. Support broader People Analytics workstreams as needed. This role will frequently touch attrition, recruiting funnel, location analytics, and other people data.
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.
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.
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.
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