Location requirements
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.
We're hiring a Product Operations Manager to work directly with our Product and Engineering teams on our Growth, Enterprise, and Verticals team. They will build, launch, and improve bleeding edge products that make the most of our frontier models’ capabilities.
The Product Operations team connects strategy to execution by creating alignment up, down, and across the company. They will work closely with Product Managers and Engineers to identify bottlenecks, streamline workflows, enhance decision-making processes, and scale our Product’s impact. Working as an extension of the product leadership team, they will balance hands-on tactical execution with strategic initiatives, bringing a pragmatic eye for scale and operationalization in a fit-for-purpose way.
The Public Sector (PubSec) Product Team is responsible for launching our new models into Public Sector organizations. They are obsessed with the specific use cases and impact our work can have within Public Sector organizations and are willing to get into the weeds to break down any barriers to adoption or engagement.
The ideal candidate will be hands-on and have experience building and operationalizing end-to-end product delivery. They are passionate about creating scalable systems that help Product teams better understand users. This includes implementing feedback loops, developing planning frameworks, and designing launch playbooks that elevate our Product organization's effectiveness.
Inputs to Product Teams – Ensuring product teams have the information they need to make great decisions
Ops of the Product Org – Creating the operating systems that enable product teams to thrive
Outputs from Product Teams – Amplifying product impact by connecting what we build to those who need it
This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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.
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.
Anthropic is a public benefit corporation headquartered in San Francisco. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process
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