Senior Growth Product Manager - Soda

Soda is the data quality layer for companies like Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. Our open-source engine, Soda Core, is used by companies like Tesla, Slack, Adyen, Walmart, and JPMC. We're hiring a Senior Growth Product Manager to get customers using Soda faster and across more of their data.

About Soda

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.

Founded in 2019 by Maarten (employee #5 at Collibra) and Tom (creator of open-source projects generating hundreds of millions in value), we commercialize through Soda Cloud and are well-funded by Point 9 Capital, Hummingbird, Singular, and Eurazeo.

The Role

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

Most of our roadmap is driven by customer requests, but this team's work is driven by adoption metrics. You'll start from hypotheses (e.g., changing a flow to get 20% more data contracts created), ship changes, and measure impact.

Because we sell to enterprises with smaller sample sizes where A/B tests rarely reach statistical significance, you'll rely on product analytics, session replays, direct user conversations, and decision-making under incomplete data.

What You'll Do

• Own adoption metrics for Soda Cloud: Time to first verified contract for new accounts, data coverage (datasets with contracts and monitors), weekly active datasets/users, and AI feature usage.
• Maintain UX coherence: Keep workflows clear and intuitive across two primary personas: data engineers, and business users (data stewards and governance leads).
• Identify & remove friction: Find where customers get stuck between contract signing and full rollout, and decide what to fix first.
• Design onboarding flows: Get new teams to first value within days, including self-serve evaluation paths for technical teams.
• Implement AI for adoption: Determine which workflow steps can be automated via agents, ship features, and monitor retention.
• Cross-functional collaboration: Work with Growth on product marketing and launches, and partner with Customer Engineers to unblock enterprise rollouts.

Hiring Process

1. Application: CV + a short write-up on a metric you moved (starting point, ending point, what you shipped, and what didn't work).
2. Phone Screen: 15 minutes.
3. Product Deep Dive: 60-minute interview focused on previous growth work and a demo of something you shipped.
4. Working Session: 60-minute session solving a real Soda adoption challenge.
5. Culture Fit: 45 minutes.

Requirements

You Should Have

• 5+ years in product (with at least 2 years owning growth, activation, onboarding, or adoption in B2B SaaS).
• Strong product craft & UX taste: Experience shipping in short cycles, running customer calls, and maintaining high UX standards.
• AI-native approach: Experience shipping AI-powered features, prototyping with coding agents (Claude Code, Codex, etc.), and making direct small PRs (e.g., copy updates).
• Self-sufficient data analysis: Ability to write SQL, build funnels, and analyze small sample sizes effectively.
• Technical product experience: Familiarity building for engineers or data teams (data pipelines, warehouses, APIs).
• Async communication skills: Excellent written English for working in a distributed team across 12+ countries.

(Note: The 5 years do not all need to be in a PM title—prior experience as a product engineer or founder owning growth metrics counts.)

Good to Have

• Background in data quality, observability, governance, or data infrastructure.
• Product-led growth (PLG) experience in companies selling to enterprise customers.
• Familiarity with Shape Up or similar fixed-time, variable-scope methodology.

What We Offer

• Compensation: €120,000–€140,000 / year + equity.
• Location: Fully remote (EU-based). Contractor setup outside Belgium (or Belgian contract if local). Optional Belgian office available.
• Offsites: In-person team kickoffs every two months in Europe (3-day retreats with the product & engineering team).
• Tools: Access to frontier AI model tokens.
• Autonomy: High ownership, flexible hours, distributed team across 12+ countries.