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Anthropic Limited is seeking a Recruiting M&A Program Specialist to join our Talent team in San Francisco, coordinating interview experiences across Corporate Development, Legal, People, and engineering leadership. You will guide candidates from initial conversations through to their start date, using AI tools like Claude to streamline processes and ensure confidentiality.
You will work out of our San Francisco office with relocation available, collaborating with cross-functional partners and
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.
Anthropic has an ambitious mission with high stakes and tight timelines. In some cases, the talent we need to achieve our vision can't be accessed through traditional recruiting alone. That's where M&A comes in, and this role is what keeps it running smoothly.
We're looking for a Recruiting M&A Program Specialist to join our Talent team and coordinate the interview experience behind our acquisition hiring. You'll be a key point of contact across Corporate Development, Legal, People, and the technical organization, coordinating interviews and guiding candidates and incoming employees from first conversation through to their start date. Your work will be challenging and unique, and it directly supports Anthropic's efforts to remain on the frontier.
Role required to work out of the Anthropic San Francisco Office - Relocation available.
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.
$120,640—$145,600 USD
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.
Learn about our policy for using AI in our application process.