How I Orchestrate Growth & AI at Amplitude to Ignite Viral Product Engagement

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AI Strategy, Product Management, Product Management Leadership

I lead Growth & AI at Amplitude, where I focus on viral and core growth strategies, user acquisition, and product engagement. My north star is to architect durable growth loops that compound over time while elevating the customer experience—from the first onboarding moment to deep, habitual use.

Day to day, I combine Amplitude analytics and behavioral analytics to power product-led growth. By instrumenting the right events, mapping activation journeys, and running disciplined A/B testing, I drive user activation and accelerate time-to-value. That work extends into onboarding, in-app guides, and retention analysis, ensuring we optimize not just for acquisition but also for sustainable engagement and expansion.

On the AI front, I define and execute the AI Strategy that responsibly applies gen ai and LLMs for product managers to increase experimentation velocity and personalize experiences at scale. This includes deploying intelligent nudges, next-best actions, and adaptive UX while honoring privacy-by-design and strong data governance practices. The outcome is a feedback-rich system that learns from user behavior and continuously improves product-market fit signals.

My playbook is simple but rigorous: align on a clear North Star, translate it into activation and retention metrics, size lift using minimum detectable effect (MDE), and iterate fast with product trios. I use an opportunity solution tree to prioritize bets, validate with continuous discovery, and then harden winning patterns into repeatable growth loops. This approach keeps teams focused on outcomes, not output, and creates a shared language across product, design, data, and engineering.

If you’re exploring how to scale product-led growth with AI, this is the path I follow: turn rich product analytics into actionable insights, test with scientific precision, and ship experiences that feel personal, timely, and trustworthy. The result is a growth engine that compounds—driving efficient acquisition, stronger activation, and enduring product engagement.

Inspired by this post on Amplitude – Best Practices.

What is the focus of Growth & AI at Amplitude?

The focus is on viral and core growth strategies, user acquisition, and product engagement. It combines Amplitude analytics, behavioral analytics, and rigorous A/B testing to drive activation and retention.

How is AI used to personalize experiences at scale?

The AI strategy responsibly applies gen AI and LLMs to personalize experiences for product managers. It includes intelligent nudges, next-best actions, and adaptive UX, while upholding privacy-by-design and strong data governance.

What role does the North Star play in the approach?

The North Star metrics guide activation and retention goals and help size lifts with minimum detectable effect (MDE). The approach emphasizes continuous discovery to validate bets.

How are bets prioritized and turned into growth patterns?

Bets are prioritized using an opportunity solution tree, validated with continuous discovery, and hardened into repeatable growth loops. This creates a shared language across product, design, data, and engineering.