Senior PM, AI Products
I ship AI-powered products that solve real problems. I believe in building fast, learning faster, and letting the work speak for itself.
I build and ship AI-powered products that move business metrics. My work focuses on experimentation, speed, and outcomes - not process theater.
Support team spent 40% of time on repetitive Tier 1 tickets. Response time averaged 4 hours. Customer satisfaction was stagnant.
Built an internal AI copilot that drafts responses for common ticket types. Agents review and send with one click. Integrated with Zendesk via API.
Increasing the minimum seat count from 1 to 3 on our Growth plan will increase average deal size without significantly impacting conversion rate.
Our product org restructured from feature teams to outcome-based pods. I was asked to lead a new pod focused on activation, with 2 PMs, 6 engineers, and 1 designer.
Activation rate improved 22% in two quarters. Both PMs reported higher clarity and autonomy in engagement surveys. One PM was promoted to Senior.
How product managers should adapt their workflows and skills for AI-native product development
The traditional PM toolkit - PRDs, roadmaps, stakeholder alignment - is necessary but not sufficient. AI-native PMs need to add three new muscles: prompt engineering, evaluation design, and probabilistic thinking.