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.
We are seeking an experienced Tech Compensation Partner to join our Total Rewards team with a focus on competitive intelligence and market analysis. This role will drive strategic compensation decision-making through deep market research, data analysis, and competitive positioning for our technical talent across our Tech organizations. You'll be the go-to expert for understanding how Anthropic's compensation stacks up in the rapidly evolving AI talent market, while also serving as a program manager for our competitive intelligence initiatives for tech roles.
We're looking for someone who thrives as a strategic partner, is energized by data, and loves surfacing market insights. You're able to translate complex compensation trends into clear, actionable strategies. In this role, you'll partner closely with Recruiting and People Analytics to ensure our offers are both competitive and compelling, while building scalable programs that keep us ahead of a shifting market.
Serve as the dedicated compensation business partner for the Technology org.
Strategic partner for compensation support for hiring managers, people partners, and talent partners.
Operate as a business partner and data provider by building the relationships and context with tech leaders, People Partners, and recruiting that enable you to navigate ambiguous problems and recommend strategic solutions that make sense for our unique needs
Own comp cycle execution for your client groups end-to-end which include market benchmarking review, budget modeling, manager enablement, edge-case resolution, and exec-ready rollups in partnership with the broader Total Rewards team.
Lead competitive intelligence strategy for technical roles, conducting sophisticated market research and analysis to understand compensation trends, emerging pay practices, and talent movement patterns in AI, ML, and frontier technology companies
Utilizing comprehensive and innovative benchmarking methodologies to ensure we are gathering real-time market intelligence to stay ahead of market trends. This includes partnering closely with recruiting teams, hiring managers, and leaders to provide market insights, offer guidance, and competitive positioning recommendations for technical hires across all levels
Cross functional partnership to develop scalable processes, tools, and dashboards that enable self-service access to market data across the organization
Build and maintain dynamic compensation models and frameworks specifically tailored to technical roles, incorporating factors like AI expertise, research impact, and specialized skills premiums
Create compelling data narratives and presentations for leadership, translating complex market analysis into clear strategic recommendations
Have 10+ years of compensation experience with deep expertise in technical roles and competitive market analysis
Are passionate about data analysis and have advanced skills in data manipulation, statistical analysis, and visualization tools (Excel, SQL, Python, R, or similar)
Have demonstrated experience building competitive intelligence programs from the ground up, including developing data collection methodologies and analysis frameworks
Possess strong program management skills with a track record of leading cross-functional initiatives and delivering results in ambiguous, fast-paced environments
Are an exceptional communicator who can distill complex market data into actionable insights for diverse stakeholders
Have experience working closely with recruiting teams and understand the talent acquisition process for technical roles
Thrive in strategic thinking while also being comfortable with hands-on execution and detailed analysis
Have worked in high-growth technology companies, preferably with exposure to AI, ML, or research-focused organizations
Experience with compensation consulting or market research roles
Background in technical recruiting or talent acquisition
Advanced degree in a quantitative field (Economics, Statistics, Data Science, etc.)
Knowledge of AI/ML talent markets and research organizations
Experience with modern data tools and business intelligence platforms
Familiarity with complex compensation structures
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