We are looking for an exceptional senior People Partner based in the Seattle or San Francisco Bay Area to support our Product and Core Technology teams, specifically Engineering teams. This role will be a critical member of the People Partner team, working on key HR projects in alignment with our partners across Compensation, Benefits, Recruiting, and others while providing excellent coaching and strategic support to senior leaders and managers across technical functions who are building the products and infrastructure that power Anthropic's AI systems. You will help build out HR policies and strategies that meet your clients' unique needs, and act as a trusted leader and guide on a wide range of employee-related topics. Key responsibilities • Act as a trusted advisor and coach to leaders across Product and Engineering teams, including senior technical leaders and executives • Provide support to employees and managers on all human resource-related topics throughout their lifecycle at Anthropic in partnership with other People team experts (e.g. Benefits, Compensation, Performance etc.) • Work closely with management to create a culture of high performance based on our values and team culture while helping ensure that performance management and employee relations issues are managed appropriately • Act as a partner and liaison with specialist teams (e.g. Benefits, Compensation, etc.), leadership, and finance, to help Anthropic continue to implement top-tier, scalable programs and policies to attract, retain, and grow outstanding talent at Anthropic • Work on cross-functional projects with other HRBPs and partners in specialist teams to enable and grow our Ants (e.g. Manager training, etc.) • Partner with technical leaders on organizational design, team scaling strategies, and talent development initiatives specific to product and engineering organizations • Support career development frameworks and progression paths unique to technical roles Minimum qualifications • Have experience operating at a fast-growing Tech company in HR, and fluency with employment law and best practices in North America • Have worked at a tech company, start-up, or a similarly fast-paced environment • Have experience partnering with technical organizations and understand the unique dynamics of product and engineering teams Preferred qualifications • Have a minimum of 6+ years experience working in HRBP, People Operations, Employee Relations, Recruiting, or other closely related functions • Have specific experience supporting Product,Engineering, or Infrastructure teams • Have experience in AI/ML companies or with technical teams building cutting-edge technology products • Understand technical career ladders, engineering culture, and the unique challenges of scaling technical organizations • Care deeply when it comes to helping and supporting a diverse set of people at all levels of an organization, excelling in supporting employees and managers to do their best work • Have proven experience and skill sets in providing confidential, practical support and are trained in topics like conflict resolution • Have strong working knowledge of human-resource-related best practices and are able to effectively implement these in a culturally appropriate fashion • Be a pragmatic problem-solver and enjoy developing creative solutions • Thrive in building and scaling processes, and enjoy identifying and setting up new systems at a quickly growing company • Care about ensuring that advanced AI systems are developed safely, and have a deep curiosity about artificial intelligence and its potential applications 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: $255,000-$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.