About Anthropic
- 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 seeking a Video Producer to help show some of the most important work happening in AI today. You’ll have a hand in what we make, as well as how we make it—finding stories, identifying creative ideas, and bringing them to life.
- You’ll focus on storytelling—creating videos that help people understand the technology and our research. This is not a role that focuses on marketing or product content. The work might include translating the complex technology we’re building into videos that make it tangible, documenting and explaining frontier research experiments, profiling the people building this technology, or capturing how others are engaging with and thinking about AI.
- This role requires someone who can work independently in a fast-moving environment. You'll work with a small team, scaling our video operation while maintaining quality and exploring new ideas. You must be equally comfortable developing creative concepts and leading the process to bring them to life.
- This is an ideal fit for someone who is genuinely curious about ideas, comfortable working in unfamiliar territory, and skilled at earning trust with deep experts who may not have worked extensively with video producers before. You bring both the operational rigor to keep productions on track and the creative instincts to know when a story is working.
- In joining the wider team, you’ll be part of a small, multidisciplinary group of creatives. We work on a wide array of things: everything from partnering with Rick Rubin on The Way of Code, to Golden Gate Claude, to Claude Plays Pokémon, to video, to technical post-mortems, to conjuring a two-block crowd in the West Village, and even Claude on Mars.
Responsibilities
- Work with research and communications teams to identify stories and develop creative approaches to tell them
- Produce compelling narrative video content that helps technical and non-technical audiences understand our research
- Manage agencies and other production partners to scale video production
- Build on the visual language of the Anthropic brand
- Travel regularly for productions
You may be a good fit if you have:
- 5+ years of experience in journalism, editorial video, or internet-first video in fast-moving environments
- Deep understanding of the production process and experience managing agencies, freelancers, and production partners
- Creative storytelling instincts and the ability to shape narratives
- Intellectual curiosity and willingness to learn about unfamiliar, complicated topics
Nice to have:
- Based in San Francisco
- Experience in producing creative work beyond video
- 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.
How we're different
- 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.
