A company empowering everyone to take action on their data is trusted by hundreds of organizations—including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart—to drive growth through personalized customer experiences.
They pioneered the Composable Customer Data Platform (CDP), enabling companies to activate customer data directly from their own data warehouse. Their AI Decisioning platform allows marketers to define goals and guardrails that AI agents use to personalize 1:1 customer interactions—bringing data accessibility from technical teams to every business user.
With a focus on first-principles thinking, velocity, and kindness, the team values strong communicators with growth mindsets who are motivated to make a lasting impact.
Headquartered in San Francisco with a globally distributed team, the company recently closed a Series C round at a $1.2B valuation and is backed by leading investors like Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y Combinator, and Afore Capital.
About the Role
The team is hiring an Engineering Manager to lead development across their event collection and identity resolution systems. These services are already operating at large scale, and the goal is to push them further—toward millions of requests per second—while maintaining reliability, performance, and architectural integrity.
You’ll be leading a top-tier team of engineers in solving tough distributed systems challenges and will be given high ownership and autonomy. This is a leadership role with direct technical influence and strategic product impact.
Some Challenges You’ll Work On
About You
You’re energized by high ownership and ambitious technical challenges. This is a leadership role focused on scaling distributed systems while working closely with customers and internal stakeholders.
You may be a strong fit if you:
What’s Offered
Interview Process
No coding puzzles—just deep, practical evaluation of how you solve real-world problems.
This is an opportunity to shape the foundation of a high-throughput data platform at scale—alongside a team that’s moving fast and solving complex problems.