Jun 2022 – Aug 2025 · 3 yrs 2 mos · San Francisco, California, United States

• PMM for Notion AI special projects: working on stuff like agents, MCP, automating workflows. First launch of "Build with AI" drove 1M+ databases being created with user retention exceeding all benchmarks.
• Developed persona battlecards for Notion's ICP of Engineering and Operations teams, with a focus on both CXOs/CTOs and ICs. Now used directly by all sellers. Has led to increases in close rates and revenue from the enterprise sales channel.
• PMM for the launch of Forms: tier 1 launch at Notion's first conference (Make with Notion). Positioned us in a new market, millions of forms created, unblocked enterprise sales deals, and expanded our product portfolio.
• PMM for the launch of Charts: led user research, messaging, pricing, asset development, and weekly sprints with channel leads. 1M impressions on launch day, press coverage, millions of charts created, and $1M+ in revenue due to upgrades.
• Built Release Marketing: a consistent experience for users to learn about new features in-product and marketing channels. Now Notion's most important channel for product launches, reaching 10M users every month.
• Supported the launch of Notion Calendar, our first standalone "Notion Suite" app. 2.5 million new sign-ups within thirty days of launch, significantly exceeding the target of 500K⁠. Activation and retention also exceeded benchmarks. After launch I became the PMM lead for Notion Calendar.
• PMM for Mobile: revamped our mobile app store listings with new messaging, copy, and visuals. Resulted in stat sig higher downloads. App store listing is now a core self serve growth channel for Notion.
• PMM for Integrations and API: launched Notion’s first first-party integration (Slack). Most requested and used Notion integration in the past year. 500K+ users using the integration with thousands of new users every week.

Dec 2020 – Jun 2022 · 1 yr 6 mos · San Francisco, California, United States

• Joined as employee #60.
• Defined Notion's ideal user journey from the onboarding aha moment to retention/churn based on persona. Launched growth experiments that reduced churn and contributed an uplift of $500K+ in ARR. Learnings were used by the product team to improve user activation.
• Launched Notion's first growth experiments to improve the self-serve revenue funnel including 1:many onboarding help, content campaigns that open-sourced Notion's learnings, and scaling our community of champions at startups.
• Re-launched Notion’s startup program and acquired thousands of new startups in our first quarter after launch (128% of our Q1 target). Market penetration in startups rose to 50%+ of YC companies and 90% of the Forbes Cloud 100 using Notion.

Jun 2019 – Oct 2020 · 1 yr 4 mos · Cambridge, Massachusetts, United States

• Metaplane (YC W20) was acquired by Datadog in April 2025. Previously known as Quantifai.
• Used machine learning to make customer data understandable for teams. Backed by Y Combinator, Flybridge, Khosla, Felicis, and the founders of Okta and HubSpot.
• Developed the core messaging for engineer and non-engineer personas. Used that messaging to close our first paying customers, raise a $1.5M seed round, develop our ICP, build a beta customer pipeline of 50+ companies, and pivot the company to selling to data teams.

Mar 2018 – Aug 2018 · 5 mos

• Appcues adds an experience layer to your product, so you can build user onboarding, NPS surveys, or feature announcements in minutes instead of in weeks. Customers include Eventbrite, Indiegogo, Typeform, and Canva.

Jun 2015 – May 2019 · 3 yrs 11 mos

• Building data visualization and analysis tools that are accessible to the many, not just the few. Combining human-centered interface design, recommender systems, and machine learning to let anyone understand their data.

Sep 2013 – Aug 2017 · 3 yrs 11 mos · Boston, Massachusetts

• Customized legacy software for legacy companies (state governments, nuclear submarine manufacturer). Worked for the CTO and launched things like DataUSA.
• Also where I learned that we have to make software more human. The world's legacy software is not human.