Product Marketing Manager, Experiment
Listed on 2026-01-24
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IT/Tech
AI Engineer, Product Engineer, Data Analyst, Product Designer
Amplitude is the leading digital analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories by G2, Amplitude is the best-in-class solution for product, data, and marketing teams.
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Amplitude’s Commitment to Diversity Equity & Inclusion (DEI):
Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.
Product development is fundamentally being transformed by AI. As coding gets dramatically faster, the critical bottlenecks shift:
What should we build? Which AI model drives the outcomes we care about? Did this feature actually drive the outcomes we care about? This shift is creating a new software development lifecycle in which analytics plays a mission critical role where Product Managers have the autonomy to test hypotheses, measure AI model performance, and iterate based on real outcomes. Amplitude is building the platform that enables this new reality— Our experimentation and analytics stack gives PMs the tools to work more effectively with engineering: faster feedback loops, clearer impact measurement, and the confidence to make bold product bets.
About The Role
As a Sr. Product Marketing Manager
, you will: partner with our product, GTM, and customer teams to position Amplitude as the platform that democratizes data-driven product development—empowering PMs to act with speed and conviction in the AI era. We’re looking for a Sr. Product Marketing Manager to position Amplitude as the platform that empowers product builders to ship, test, and optimize AI products with confidence. You’ll own go-to-market strategy for our Feature Experimentation, Feature Flags, SDKs and LLM Analytics
—the stack that enables Product teams to move faster, experiment fearlessly, and make decisions based on real user outcomes, not gut instinct. This is a high-impact role for someone who understands both product development workflows and has the technical fluency to bridge Product and Engineering teams. You’ll help PMs gain the autonomy to test ideas, validate hypotheses, and drive product velocity without constant engineering dependencies.
you will own
Shape the narrative for product development
- Articulate why analytics becomes exponentially more critical as AI accelerates product development—when you can build 10x faster, knowing what to build and whether it worked becomes the competitive edge
- Position Amplitude as the platform that gives Product teams the autonomy to test AI models, validate features, and drive outcomes without engineering bottlenecks
- Tell the story of how experimentation culture transforms product velocity—from "let's discuss what might work" to "let's test and know what works"
Bridge Product and Engineering with authentic fluency
- Develop messaging that resonates with Product Managers while demonstrating enough technical depth to earn credibility with Engineering partners
- Create content that helps PMs understand how to leverage experimentation, feature flags, and analytics throughout the product lifecycle—not just at launch
- Speak comfortably about product development workflows: hypothesis testing, gradual rollouts, AI model evaluation, conversion optimization, and impact measurement
Drive adoption across product organizations
- Lead launches for experimentation, feature management, and LLM analytics capabilities with a focus on PM workflows and time-to-value
- Build enablement programs that help sales and customer success teams speak to product organizations about experimentation culture, analytics maturity, and AI-readiness
- Partner with product to shape roadmap based on how modern product teams want to work—faster feedback loops, clearer impact…
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