Datawizz

Growth

San Francisco · Exec

Sponsorship not specified$50k-$500kDetected 108 days ago

Snowflake

About the role

This role is in-office in San Francisco, 5 days a week.
Have gone deep on a product before, whether as a power user, a builder, or someone who couldn't stop tinkering with how something worked
Are comfortable on camera and can explain technical products in a way that clicks

Datawizz is building the agent workforce.
We're hiring people who want to build, not manage.
As our first growth hire, you'll own how Datawizz gets discovered, tried, and adopted.
You'll run experiments across channels, build our content engine, launch partnership and affiliate programs, and figure out where our time and dollars drive the most signups and activations.
You'll be part marketer, part creator, part analyst, and you'll use our own platform to automate as much of your job as possible.
Run experiments across channels (YouTube, Instagram, LinkedIn, X, Reddit, podcasts, paid) to figure out where we get the most bang for our buck, and own growth metrics end-to-end
Design and launch our affiliate and creator partnership programs, from picking partners to structuring payouts to tracking attribution
Use Datawizz to build agents that automate your own workflows and multiply your leverage
Become a power user of the platform and turn that into content: Looms, walkthroughs, case studies, and short-form video that drive inbound
Think in numbers and can design an experiment, read the results, and decide what to do next

Have 3-8 years of experience at a startup in growth, marketing, content, or as a founder, or have equivalent output to show for yourself

$50,000 to $500,000)
Competitive salary, based on experience level (Annual compensation range: $50,000 to $500,000)

We're a seed-stage team backed by Human Capital (SpaceX, Snowflake, Anduril) building a platform that helps enterprises build and deploy agents with the right permissions, guardrails, and activity logging to actually ship within companies.
Early customers are already automating several hours of their workday.

This listing is sourced directly from Datawizz's careers page and normalized into a canonical job model.