Principal Product Manager, Activation
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Job Description
Principal Product Manager managing customer data activation processes and experiences for non-technical users. Joining RudderStack to redefine enterprise-scale data collection and routing with AI-first strategies.
Responsibilities:
- 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.
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
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