Enterprise Marketing Lead
Vals AI
Enterprise Marketing Lead
Vals AI
Independent AI model evaluation platform
We’re hiring an Enterprise Marketing Lead to oversee strategy and execution for Vals AI’s marketing efforts to enterprises: positioning and what stories we tell, which audiences we tell those stories to, which channels we use to tell those stories. Your goal is to establish Vals AI as a credible source of information on model performance within the enterprise community to foster adoption of our enterprise product.
You’ll work closely with the Vals Smith team, our researchers, our marketing and design teams, and our co-founders to be successful. 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 require better standards around how we measure it.
Own Vals’s enterprise positioning and messaging, working directly with our CEO, researchers, and engineers.
Prioritize which customers to target and which personas within them matter most.
Produce content that makes Vals the go-to way for enterprises to evaluate models and agents on their own workflows: product launches, customer stories, technical case studies, and original analysis.
Pick the right distribution channel for each piece of content and each persona.
Experience owning positioning and go-to-market for a technical B2B product
A track record of building distribution for content, not just producing it
A portfolio of writing (e.g., published essays, research blog posts, lab posts, or industry reporting.) Ideally, with experience creating content for enterprise and/or technical audiences
Technical fluency. 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, drive decisions, push back on weak takes, and not just transcribe what people say.
Speed and self-start mindset. We ship content the day a major model releases. You should be able to turn around a publishable post in hours, not weeks, with limited oversight.
Ability to work in person 5 days a week in San Francisco.
Prior research communications experience at an AI lab or research-led startup
Prior writing for a technical publication or engineering blog
Highly competitive salary and meaningful ownership. Excellence is well rewarded.
Relocation and transportation support
Full health, dental, and vision insurance coverage
Lunch and dinner provided, free snacks/coffee/drinks
401K plan
Unlimited PTO
$1,500 monthly housing stipend for living within one mile of the office
Founding team: The core methodology behind Vals AI comes from NLP evaluation research we had done at Stanford. We work with all the major foundation model labs, some of the largest financial institutions, and hospital systems in the world. Our team has prior work experience at NVIDIA, Meta, Microsoft, Palantir and HRT. Collectively, we have over 300 citations in our published work. Our early team includes Stanford PhDs, ex-Jane Street quants, and the first designer at Snorkel.
We recently announced our $40M Series A at a $400M valuation, led by Andreessen Horowitz, with participation from existing investors 8VC, Pear VC, and Bloomberg and new investors Hudson River Trading and NextLadder Ventures.
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.
Ownership: Working in a small, talent-dense team, we expect everyone to show initiative to build where it's needed, not where it's asked. We strive for autonomy over consensus.
Intensity: The LLM landscape is constantly changing. Foundation model labs are continuously pushing the frontier. The unicorn companies that will emerge from this technology shift are being built now. Those that win will have an incredibly high speed of execution.
Solution-oriented mindset: We're looking for people who see opportunities to craft solutions at each juncture, not those who pass hard problems to others or admit defeat.
Vals in the Media:
Vals AI provides independent evaluation and benchmarking for large language models and AI applications with domain-specific leaderboards. It tests models on real-world tasks using private datasets to prevent test leakage and reports metrics such as tool use, multi-modality, long-context reasoning, accuracy, latency, and cost, while offering an evaluation framework for private labs and enterprise teams and public benchmarks like Finance Agent and Valkyrie. The company differentiates itself by delivering unbiased, practitioner-focused measurements built with domain experts and by focusing on economically valuable, complex professional tasks rather than academic problems. Its goal is to become the trusted measurement layer for the AI economy, helping research labs and enterprises make informed decisions about AI model adoption and deployment.
Explore more opportunities at Vals AI