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 organisations.
You will 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 energised 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.
Responsibilities:
- 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 organisation
- Build and maintain dynamic compensation models and frameworks specifically tailored to technical roles, incorporating factors like AI expertise, research impact, and specialised skills premiums
- Create compelling data narratives and presentations for leadership, translating complex market analysis into clear strategic recommendations
Requirements:
- 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 visualisation tools (Excel, SQL, Python, R, or similar)
- Have demonstrated experience building competitive intelligence programmes from the ground up, including developing data collection methodologies and analysis frameworks
- Possess strong programme 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 organisations
Benefits:
- Annual compensation range: $245,000 – $310,000 USD
- 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.
XML job scraping automation by YubHub
