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. ## Minimum qualifications
Experience in people analytics, workforce planning, or a closely related quantitative role
Have built and maintained quantitative models for headcount forecasting, attrition, or hiring plan scenarios in a high-growth environment
Highly proficient in SQL and have working knowledge of Python or R for modeling
Have hands-on experience with HRIS and ATS data
Have built dashboards in tools like Looker, Tableau, or comparable, and can translate analysis for senior leadership audiences
Are a strong generalist analyst who thrives in ambiguity, balances rigor with pragmatism, and challenges assumptions with data
Communicate clearly with senior stakeholders across Recruiting, Finance, and the business
Are comfortable owning end-to-end development of a function, defining what to build, building it, and iterating
Thrive in a fast-paced environment, can pivot quickly as priorities shift, and are energized by the pace
Preferred qualifications
7+ years in people analytics in workforce planning
Background in workforce planning and people analytics at high-growth technology companies or AI/ML organizations, ideally having led workforce planning end-to-end or stood up the function from scratch
Experience leading the rollout or significant upgrade of position management capabilities
Experience partnering with FP&A on financial planning and connecting headcount plans to budget considerations
Familiarity with capacity planning models (e.g., recruiter capacity against hiring goals, revenue per AE)
Experience supporting org design analytics (span of control, layers, manager ratios) and structural decisions
Working knowledge of compensation principles, sufficient to model comp tradeoffs in scenario analysis
Experience with modern data stack tools
Experience with employee lifecycle metrics and people KPIs
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:
$245,000—$310,000 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.
