Senior Product Engineer

About RudderStack

The next generation of enterprise software won't be defined by features, it will be defined by craft. As customer data platforms evolve from technical infrastructure to mission-critical business tools, the companies that win will be those that make power feel intuitive and complexity feel invisible.

The AI era demands something enterprises haven't had before: a centralized, warehouse-native source of truth about every customer - clean, unified profiles that can power both human decisions and autonomous AI agents. At RudderStack, we've built the data infrastructure that processes 300 billion events every month for enterprises like P&G, Crate & Barrel, and Bol.com alongside high-growth AI companies like Vercel, Lovable, n8n, and AssemblyAI. We've proven the architecture works. Now we need full-stack engineers who think like product builders - engineers who can trace a user frustration from a confusing UI through the API layer to the data model, and fix it at every level.

About the role

• You'll play a critical role in shaping RudderStack's product experiences—not just building interfaces, but understanding the entire customer journey from first click to production deployment. You'll need to master our platform deeply: how event ingestion works, how rETL syncs data back to warehouses, how Profiles resolves identities across devices and builds ML-ready customer models, how Transformations reshape data in flight.
• This isn't a traditional frontend or backend role. It's about owning the full product experience—from the React component a user clicks, through the API that processes their request, to the database query that validates their configuration, all the way to understanding whether this feature actually solves their data activation problem—for humans and AI agents alike.

What you'll do

Your work will directly shape:

• Product-Led Experiences: Build activation flows for complex features (rETL pipelines, Profile audiences, Transformation logic) that technical and non-technical users can understand and trust
• The AI-Ready Data Layer: Help design experiences around Profiles—the unified, warehouse-native customer models that become training data for ML and context for AI agents
• The Full Stack: Own features from database schema design through API implementation to React components—optimizing for both developer experience and end-user delight
• Customer Insight Translation: Spend time understanding what data engineers struggle with at 2am, what product managers need from audience segmentation, what AI teams need to feed their agents—then build solutions that work
• Platform Mastery: Become an expert in RudderStack's architecture—ingestion pipelines, reverse ETL mechanics, identity resolution algorithms, transformation engines—so you can explain these concepts clearly through UI and build the right abstractions
• Cross-Functional Product Work: Partner deeply with Product and Design to challenge requirements, propose better user flows, and advocate for technical solutions that balance feasibility with user needs

Qualifications

• You're a Product-Minded Engineer
• Proven experience in building production systems across the full stack
• Genuine curiosity about customer problems—you want to join customer calls, read support tickets, understand the "why" behind every feature request
• Willingness to challenge product specs and engage in constructive dialog in order to improve the product for the users.
• You can articulate complex technical concepts (schema evolution, event ordering, identity graphs, ML feature stores) in ways that non-technical users understand

You Build Across the Stack with Purpose

• Comfortable owning features end-to-end: database queries, API design, state management, UI components, deployment
• Experience with modern web stack: React/TypeScript, Node.js, REST APIs, SQL databases (Postgres/TimescaleDB)
• You make pragmatic decisions about where to solve problems—sometimes it's a UI change, sometimes it's a data model fix, sometimes it's better API documentation
• Bonus: experience with data platforms (Snowflake, Databricks, warehouses), streaming systems (Kafka, event processing), or ML/AI infrastructure (feature stores, model serving)

You Care About Craft and User Experience

• Strong visual intuition—you notice when layouts feel off, when copy is confusing, when flows could be smoother
• You write code that others want to work in—clear abstractions, thoughtful tests, helpful error messages
• Deep empathy for users struggling with your software—you instrument, observe, and iterate based on how people actually use your features

You Learn Platforms Deeply

• You don't just integrate with systems—you understand how they work
• Willing to dive into RudderStack's architecture: study how events flow from sources through transformations to destinations, understand our identity resolution logic, learn rETL sync mechanics, explore how Profiles become ML-ready datasets
• You can explain our platform's capabilities and constraints to customers, sales engineers, and your own team with equal clarity

The Builder's Mindset We Seek

You're energized by:

• Product impact over technical purity—you'll choose the pragmatic solution that ships and delights users over the architecturally perfect one that takes 3x longer
• Customer conversations—you want to hear directly from data engineers about their ETL pain points, from marketers about their segmentation needs, from AI teams about their feature engineering challenges
• End-to-end ownership—you take pride in features that work beautifully from UI to database and back
• The AI-native future—you're excited about building infrastructure where unified customer profiles power both traditional activations and autonomous AI agents
• Learning complex domains—you're excited to understand customer data infrastructure deeply enough to become a trusted advisor to our users
• Cross-functional collaboration—you thrive working with Product, Design, Customer Success, and Sales to understand the full context of what you're building

You stay current with how high-growth companies like Vercel, n8n, and AssemblyAI are building product experiences that blend technical power with intuitive interfaces.

Our Stack & What You'll Work With

• Frontend: React, TypeScript, MobX/React Hooks
• Backend: Node.js, gRPC, REST APIs, Prism ORM
• Data Layer: Postgres, TimescaleDB, Redis, Snowflake/Warehouse integrations
• Platform: RudderStack SDKs, event ingestion, rETL, Profiles (identity resolution + ML-ready modeling), Transformations
• Tooling: Webpack, SQL editors, IDE-like transformation builders
• Infrastructure: Kubernetes, SOC2 Type2 Compliant

You'll build developer tools that developers actually use—in-browser code editors with Monaco, SQL query builders with intelligent autocomplete, CLI tools, and IDE-like transformation environments.

What You'll Master Here

Beyond writing code, you'll develop deep expertise in:

• Event ingestion architecture: How we collect data from 30+ sources and route to 150+ destinations
• Reverse ETL mechanics: How we sync warehouse data back to business tools with schema mapping and conflict resolution
• Identity resolution at scale: How Profiles unifies user identities across sessions, devices, and platforms—creating the single source of truth that AI needs
• ML-ready data modelling: How unified profiles become feature stores for machine learning and context windows for AI agents
• Real-time transformations: How we apply business logic, remove PII, and enrich events in flight

This knowledge makes you invaluable—you'll be able to design UIs that respect the underlying system constraints, debug issues across the entire stack, understand how customer data becomes AI-ready, and have informed conversations with our most technical customers.