$175,000–$295,000 Per Year
Acquisition Strategy, Artificial Intelligence (AI), Best Practices, Campaigns, Candidate Sourcing, Construction, Cross-Functional, Detail Oriented, Employer Brand, Interviewing Skills, Leadership, Machine Learning, Multitasking, Needs Assessment, Organizational Skills, Recruiting Strategy, Risk Analysis, Scientific Research, Startup, Strategic Planning, Technical Analysis, Technical Recruiting, Technical Support
Responsibilities:
- Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI talent
- Partner with hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
- Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
- Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
- Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates
- Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends
You may be a good fit if you:
- Have 5+ years of experience in full life cycle recruiting supporting core technical teams
- Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations
- Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies
- Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities
- Possess strong technical aptitude with the ability to understand and evaluate technical qualifications
- Have enthusiasm for deeply understanding the needs of engineers and innovating on recruiting processes to make them more tailored to the world of AI
- Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
- Have experience partnering with engineers and hiring talent that work on GenAI and LLMs
- Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment
Strong candidates may also:
- Bring a deep interest in AI safety
- Have experience partnering with engineers and hiring talent that work on GenAI and LLMs
- Have experience with academic recruitment and research communities
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:
$175,000 - $295,000 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.