Senior Growth Product Manager

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.

Soda is the data quality layer for Disney, Ralph Lauren, CBRE, Hello Fresh, 2K Games, and Nubank. Our open-source engine, Soda Core, is used by companies like Tesla, Slack, Adyen, Walmart, and JPMC. The category is growing fast because AI doesn't work on bad data, and we're hiring a Senior Growth Product Manager to get customers using Soda faster and on more of their data.

Soda's mission is to monitor the world's decisions. We're building the first Data & AI performance monitoring platform that spans data collection to automated decision-making. Soda helps customers find, understand, and fix data quality issues by combining automated post-production monitoring with pre-production pipeline data testing.

Soda was founded in 2019 by Maarten (employee #5 at Collibra) and Tom (creator of multiple open-source projects generating hundreds of millions in value). We commercialize through Soda Cloud and we're well-funded, with investors like Point 9 Capital, Hummingbird, Singular, and Eurazeo.

You'll lead our adoption team, a small group of frontend, full-stack, and AI engineers. The team works on onboarding and activation, on keeping workflows coherent across the product, on customer-facing dashboards, and on AI features that save users work.

Most of our roadmap is driven by what customers and prospects ask for. This team's work is driven by adoption metrics, because customers rarely ask for the things that would make them use Soda more. You'll start from a hypothesis, for example that changing a flow will get 20% more data contracts created, ship the change, and check whether it worked.

We sell to enterprises, so sample sizes are small and A/B tests rarely reach significance. You'll use product analytics, session replays, and conversations with users, and you'll often have to decide with incomplete data. This is a product role. If most of your growth experience is in paid acquisition or lifecycle email, it's probably the wrong fit. You'll also work closely with our Growth team, which is led by a co-founder, on launches and messaging.

• Own the adoption metrics for Soda Cloud: time to first verified contract for new accounts, data coverage (datasets with contracts and monitors), weekly active datasets and users, and usage of AI features. You'll define them, make sure we can measure them, and improve them.
• Own the UX of workflows across the product and keep them coherent for our two kinds of users: data engineers, and business users such as data stewards and governance leads.
• Find where customers get stuck between signing the contract and running Soda on most of their data, and decide what to fix first.
• Design and ship onboarding flows that get a new team to first value within days, including self-serve paths for technical teams that want to evaluate Soda on their own.
• Put AI to work on adoption: decide which steps an agent should do for the user, ship them with the team, and measure whether people keep using them.
• Work with Growth on launches and product marketing, and with our customer engineers on whatever is blocking rollouts at customers.

• 15-minute phone screen
• First interview (60 min): a deep dive into product growth work you've done. Part of it is showing us something you shipped that you'd still be proud to demo.
• Second interview (60 min): a working session on a real Soda adoption problem
• Culture fit (45 min)

We answer every application, and every candidate hears back within 3–5 days of each step. If it's not a hell yes, it's a no, and we'll tell you quickly and kindly.

• 5+ years in product, including at least 2 owning growth, activation, onboarding, or adoption in B2B SaaS: you were accountable for a metric for long enough to see whether your changes worked. In your application, tell us which metric it was, where it started and where it ended, what you shipped, and what didn't work.
• Product craft and taste: you love software and have used a lot of it yourself, so you know what a good product feels like. You keep scope small, work in short cycles with engineers and designers, run your own customer calls, and have well-reasoned opinions about UX.
• An AI-native way of working and building: you've shipped an AI-powered feature and measured whether people use it, you prototype with coding agents (Claude Code, Codex, etc.), and you're happy to open a small PR yourself for…