Product Manager
Snowplow Analytics
Product
United Kingdom
The Opportunity
Snowplow's product portfolio is evolving fast. Our Console is the command center for everything customers do with Snowplow — from configuring pipelines to designing tracking implementations to managing their data infrastructure. Within that surface, we're building AI-native capabilities that fundamentally change how teams interact with behavioral data: an AI assistant, AI-powered development workflows, and product-led growth motions that make Snowplow easier to adopt and expand.
At the same time, Event Studio — our toolset for designing, governing, and implementing behavioral data tracking — is becoming the connective tissue between business intent and data creation. It's where tracking plans get defined, schemas get governed, and code gets generated. It's also where we're investing heavily in developer experience through tools like Snowtype (code generation from schemas), our MCP server (local and remote), and AI-assisted tracking design.
These areas are one role because they share a single surface and a single user journey. You'll own the product direction for Event Studio, the Console experience layer, AI capabilities (both within Console and developer-facing integrations like MCP), and the product-led growth motions that drive adoption and expansion. It's a rare opportunity to shape how an entire category of users — data engineers, analysts, and developers — experience and interact with a data infrastructure platform.
What You Bring
Domain experience: product management experience in customer data infrastructure, data warehousing, CDPs, or an adjacent data/developer tooling space.
Developer-facing product chops: You've shipped products that developers actually use. You understand the difference between building for a buyer and building for a practitioner, and you know how to do both.
Hands-on building skills: You're comfortable spinning up prototypes, generating front-end code, and contributing to a production codebase when it makes sense.
AI judgment: You have strong instincts for developer experience and can think critically about where AI adds genuine value versus where it's just noise.
Roadmap ownership: You're comfortable with ambiguity and can take a broad product surface and turn it into a sequenced, defensible roadmap.
Clear communication: You communicate directly — in writing, in specs, and in cross-functional conversations and go-to-market activities.
PLG familiarity (bonus): Experience with product-led growth motions — activation flows, onboarding optimization, usage-based expansion.
What Sets This Role Apart
Most PM roles at this level give you a single feature area. This one gives you a product surface that spans design tooling, a platform console, AI capabilities, and growth — all in a company where behavioral data for AI is the core thesis. You'll have direct access to the CPO, latest and greatest AI tooling, a tight feedback loop with customers, and the autonomy to make real product decisions. If you want to build things that matter at a company where product is central to the strategy, this is the role.
What You'll Do
You'll own the roadmap and drive execution across four interconnected product surfaces:
Event Studio: Define and evolve Event Studio as the primary interface for tracking design, schema governance, and implementation — making it the system of record for how organizations define their behavioral data contracts.
Console Experience: Shape the Console as a cohesive, intuitive layer across Snowplow's multi-product portfolio (CDI, Signals, Identities).
AI Capabilities: Drive our AI forward — both the in-Console AI assistant and the developer-facing integrations (MCP server, Snowtype, code generation) that meet developers where they already work.
Product-Led Growth: Build PLG capabilities into the Console that reduce time-to-value, drive self-serve adoption, and create natural expansion paths.
How You’ll Work
This is also a hands-on building role. You'll prototype ideas and vibe-code working concepts to accelerate decision-making, validate UX hypotheses, and demonstrate what's possible — and you'll contribute directly to the codebase alongside engineering. This isn't a sideline activity; it's how our product team works. We've built a culture where PMs and engineers co-create, and the best ideas often start as a working prototype, not just a spec.
Day to day, this means running discovery with customers and prospects, writing clear specs and briefs, working closely with engineering to ship, and using data to validate what's working. You'll collaborate across the product team, engineering, marketing, sales, and customer success to ensure what you build connects to commercial outcomes.