Responsibilities

• - Own paid acquisition end to end: LinkedIn, Meta, Google, Reddit, , ChatGpt, X, and whatever you can prove works
• - Make the creative. Copy, static, video, landing pages. You are the studio, and AI is how you get to twenty variants instead of two
• - Run a real testing cadence: hypothesis, ship, read, kill. Volume of tests is the job; most of them will lose and that's the point
• - Own the budget and the number. Pipeline and qualified meetings, not impressions
• - Work with the founders, customer engineers, and customers on what Soda actually says to the market. Your opinion matters here

Requirements

• - You've run enterprise B2B paid at a startup or growth-stage technical company: data, infrastructure, developer tools, security, or observability. Long cycles, a buying committee, high contract values - and no brand pull to coast on. Running paid for a company everyone has heard of, with a big budget and an agency, is a different job to running it for one nobody knows yet on a budget that doesn't forgive waste. We need the second one
• - Experiment obsessed: the testing cadence is the job. Tell us how many tests you ran last quarter, the last five and what each one was trying to learn, which ones you were wrong about, and what you killed. Most of them should have lost
• - You make the creative: send us ads you personally made, with what they cost and what they returned. The most important line in this ad
• - AI-first: you use frontier models to produce and iterate creative at volume, and you can tell us specifically where AI made it better and where it made it worse
• - You own the budget: you've had spend authority and hit a number with it
• - Enough technical range to be unblocked: landing pages, tracking, conversion APIs, UTMs, a CRM. Nothing waits on an engineer
• - Enough data fluency to be credible: you're selling to data engineers and CDOs. You don't have to be one, but you can't sound like you've never met one
• - Clear written English: most of the job is words on a page that someone decides about in two seconds

Preferred

• - Data quality, data management, or data observability specifically
• - You've built the attribution model as well as run the ads
• - Founder or first-marketer background where nobody was going to do it for you
• - You were the first paid hire somewhere and built the function from zero

Benefits

• - Compensation: $120,000-$130,000 / €110,000-€120,000 per year + equity - the same band wherever you live. We don't discount for geography
• - Fully remote (US or EU-based), with offices in Brooklyn
• - All the tokens you need, across all frontier models
• - Real budget, real ownership, no micromanagement
• - Colleagues in 12+ countries, and the local equivalent of PTO, retirement, and medical cover