Private, domain-specific benchmarks in legal, tax, and finance. Backed by a16z and Pear VC.
About the role
We’re hiring a Technical Content Lead to shape how Vals explains some of the most important questions in AI: which models actually work, how enterprises should evaluate them, and how the industry should measure progress as capabilities improve. Interview customers, researchers, engineers, and technical leaders and turn those conversations into strong long-form pieces. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A portfolio of long-form technical writing — published essays, research blog posts, lab posts, or industry reporting
- Strong technical literacy. You don't need to be able to train a model, but you need to be able to read a paper, sit in on a research review, and come out with something accurate and sharp
- An editorial point of view. You should have opinions about what's interesting, push back on weak takes, and not just transcribe what people say
- Speed. We ship content the day a major model releases. You should be able to turn a publishable post in hours, not weeks
- Ability to work in-person, in San Francisco. We will support your relocation as needed
- Learning velocity: The role encompasses a wide variety of tasks. Rather than expecting you to be an expert on Day 1, we are looking for someone who can learn new skills and technologies quickly
More about this role
We’re hiring a Technical Content Lead to shape how Vals explains some of the most important questions in AI: which models actually work, how enterprises should evaluate them, and how the industry should measure progress as capabilities improve.
Vals Smith, our product for evaluating models and agents on the actual work companies do.
Our public benchmarks and research, where we independently measure frontier models across increasingly complex domains.
Emerging policy and standards conversation around AI evaluation, where rigorous measurement is becoming increasingly important to how labs, enterprises, and policymakers understand model capabilities.
You’ll work closely with our research, engineering, product, and customer teams to turn technical work into sharp, accessible writing: benchmark reports, product launches, customer stories, model analyses, technical explainers, and occasional policy pieces.
We want someone who can understand the underlying work and develop a distinctive point of view on what matters. The goal is to make Vals one of the most trusted voices on how AI is actually performing — in benchmarks, inside companies, and as the technology becomes important enough to...
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