Activation Strategy & Ownership
Own the complete activation experience—how business users build audiences, create customer profiles, activate data to downstream tools, and ultimately drive outcomes
Develop deep expertise in reverse ETL, audience building, identity resolution, Customer 360/profiling, and data graph capabilities
Identify where AI can fundamentally reimagine data activation (natural language audience building, predictive segmentation, automated insight generation)
Define what "activated" means across customer segments and relentlessly drive toward reducing time-to-value
Instrument activation funnels and build feedback loops that drive rapid iteration
Product Execution
Ship. Validate. Iterate. We're not interested in six-month roadmaps that become fiction—you'll operate in tight cycles with direct customer feedback
Partner with engineering to build intuitive self-serve experiences that abstract away infrastructure complexity
Own the interfaces where non-technical users interact with RudderStack: audience builders, profile explorers, sync configuration, and activation workflows
Leverage AI throughout your own workflow—we expect you to specify, prototype, analyze, and move faster because of it
Customer & User Obsession
Develop genuine empathy for marketing, product, and revenue ops personas who need data but aren't data engineers
Spend significant time with customers understanding their activation journeys, not just their feature requests
Understand the gap between what data teams build and what business users can actually access—then close it
Translate technical capabilities into business outcomes that non-technical users care about
Cross-functional Impact
Collaborate with Growth and Marketing on product-led strategies that demonstrate value before requiring setup
Partner with Customer Success to identify activation patterns that predict long-term success
Work directly with engineers on implementation—we don't have walls between PM and engineering
Influence how we talk about activation externally through positioning, content, and customer storytelling
Requirements
Data infrastructure fluency: You understand the modern data stack deeply—warehouses, ETL/ELT, reverse ETL, CDPs, and how data actually flows. You can hold your own in technical architecture discussions.
Business user empathy: You've seen firsthand how powerful data capabilities fail to reach the people who need them. You're motivated by making complex things accessible.
Activation domain expertise: Direct experience with reverse ETL, audience building, customer profiles/C360, or similar activation use cases. You know what good looks like.
AI-native mindset: You're already using AI to move faster in your work and have a point of view on how AI will transform data activation. You're eager to explore and ship AI-native experiences.
Bias toward shipping: You've operated in environments where you shipped quickly, learned from real usage, and iterated. You're allergic to process theater and lengthy planning cycles.
Technical collaboration: You work directly with engineers as thought partners, not order-takers. You can sketch technical approaches and engage meaningfully on tradeoffs.
Communication clarity: You write crisply, present compellingly, and can translate between technical and business audiences effortlessly.
Tech Stack
ETL
Benefits
Competitive compensation package with meaningful equity
Comprehensive benefits and flexible PTO
Significant autonomy to shape both the product and how we work
High-impact role defining how business users experience the power of customer data
An AI-first product org that values speed, experimentation, and customer outcomes over process