Product Manager (Media Generation - Image & Video)
Artificial Analysis, San Francisco (On-site)
Artificial Analysis, San Francisco (On-site)
Job Description – Product Manager (Media Generation – Image & Video)
Location: San Francisco, CA (on-site, 5 days a week, in our San Francisco office)
We’re hiring Product Managers focused on AI image and video generation. You’ll work closely with us to develop and enhance our media arenas and leaderboards, contributing to product strategy and execution at the frontier of generative media.
This is a hands-on, technical product role: you’ll drive day-to-day operations for our image and video offerings and be a key contributor to product development, collaborating closely with engineering and analysis colleagues, as well as our founders. You’ll run human preference studies, curate prompt sets and categories, and work with the leading media generation companies to benchmark their latest models.
We are open to a wide range of experience levels for this role and will shape the seat to the person.
Beyond that, this opportunity could potentially suit a wide range of backgrounds. We believe that the following skills and experience would likely be helpful for success in this role. We’re not expecting any single candidate to tick off the entire list, but these are some things that we think would be valuable:
Why Artificial Analysis?
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai http://DeepLearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
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Source: the Artificial Analysis Ashby job board. We last checked this job 7 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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