About the role
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.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting stays available for final verification.
What you’ll do
- Act as a trusted advisor and coach to leaders in Research
- 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, 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 and retain and grow outstanding talent at Anthropic
- Work on cross-functional projects with other People Partners and partners in specialist teams to enable and grow our Ants (e.g. Manager training, etc.)
What they’re looking for
✦ Select a requirement to inspect fit, evidence or application context.
- 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
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Helpful, not always essential
- Have a minimum of 6+ years experience working in People Partner, People Operations, Employee Relations, Recruiting, or other closely related functions
- Have experience working with AI focused Research and Engineering teams
- 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
How they work
- 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.
- 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.
Eligibility
Visa sponsorship: We do sponsor visas!
How to apply
- We encourage you to apply even if you do not believe you meet every single qualification.
About Anthropic
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