Most recently, I grew [Superset] from [0 to 1] as their [first employee].
*this graph shows actual growth trend with #'s hidden for company privacy
As the [first employee], I joined two technical design and engineering founders to lead growth — blending gtm, customer success, and product.
Fall 2020 - I built and launched our first GTM motion by manually DMing 100s of fitness creators a day to land our earliest customers. This was brute force growth at its finest. Those first customers helped shape our positioning, validated demand for digital programs, and showed traction to help Superset raise our first round of funding.
Initial traction required immediate needs across onboarding, support, and conversion:
Designed our first onboarding flow with qualifying questions and automations to improve funnel quality and drive trial activation
Built our support system from zero, writing docs and handling all customer support
Ran 1,000+ demos, turning feedback into product and sales motion improvements
Spring 2022 - Created and led Superset Plus, a white-glove launch marketing service for creators. I owned the full customer lifecycle from onboarding through post-launch support, working closely with two marketers and a designer to test whether higher-touch service could improve outcomes.
“We did this by narrowing our ICP based on the personas who had already found success on the platform and, with greater confidence, delivered a service designed to consistently unlock success for that segment. This led to increases in ARPU, transaction volume, and GMV per customer.” (read more in Growth section)
Summer 2022 - Identified an opportunity for a major ICP shift through launch debriefs, structured user interviews, and recurring customer blockers. These insights led to our pivot toward Superset v2
Fall 2022 - I rebuilt our top-of-funnel, onboarding, positioning, and sales motion from scratch to align with our new ICP and differentiate in a more competitive landscape.
Conducted user interviews with new and existing customers to uncover opportunities in the 1:1 coaching market and better understand how to position Superset v2 against a new set of competitors.
Spring 2023 - Manually converted our waitlist into paying customers through 1:1 demos and phone calls, onboarding the first 100 Superset v2 users. Once we had enough insight from these early conversations, I translated that learning into a scalable self-serve conversion funnel.
Formed repeatable beta launch process to gather feedback, iterate, and launch the best product to the masses.
Launched dozens of growth experiments across onboarding and activation, establishing the foundation of our product-led growth loop. Most notably, myself and our marketing lead, created Freebie Friday—a weekly resource drop (workout templates, liability waivers, etc.) that served as both valuable standalone content and seamless entry points into our product. This campaign generated 100k+ opt-ins to date and drove 40k+ new trials. (full mention in growth section)
Fall 2023 - As the team grew, I worked cross-functionally with design and engineering to prioritize roadmap features using product usage data (via Amplitude) and user feedback gathered through interviews, event-triggered surveys, demos, and roadmap surveys.
I also took ownership of revenue operations, partnering directly with the founder to manage our financial model. This included forecasting growth, analyzing runway, and identifying pricing opportunities and revenue levers.
Summer 2024 - With a growing team of four engineers and two designers, I led the adoption of new processes and tooling to support better collaboration and delivery. This included implementing workflows for bug reporting, weekly team meetings, design-to-engineering handoff protocols, project follow on protocols, project retrospectives, and a clear prioritization system. I also rolled out platforms like Linear to help us plan sprints, manage the backlog, and coordinate cross-functional execution.
Spring 2025 - Strategized, tested, and deployed a usage-based pricing model that doubled conversion volume and increased monthly cohort NRR from 93% to over 120%.
Led a company-wide shift toward integrating AI as a functional extension of each team:
Customer Support — Migrated to Intercom and trained an AI agent to resolve 80% of incoming tickets, handling ~900 chats per month
Design/Product — Used Claude to build working prototypes for early feedback and iteration, reducing reliance on engineering during discovery
Growth — Used Claude/ChatGPT to forecast revenue, model pricing changes, and measure the revenue impact of product adoption
Engineering — Adopted Claude/Cursor to accelerate development and bug resolution
Led discovery to understand how AI could deliver a similar impact for our customers by acting as their “next hire.” We focused on identifying high-effort, low-leverage workflows that limited coach growth. By asking, “If you could hire someone tomorrow, what would they take off your plate?”, we uncovered clear opportunities for an agent to remove bottlenecks—primarily by offloading administrative tasks that prevent coaches from scaling.
Fall 2020 - I built and launched our first GTM motion by manually DMing 100s of fitness creators a day to land our earliest customers. This was brute force growth at its finest. Those first customers helped shape our positioning, validated demand for digital programs, and showed traction to help Superset raise our first round of funding.
Initial traction required immediate needs across onboarding, support, and conversion:
Designed our first onboarding flow with qualifying questions and automations to improve funnel quality and drive trial activation
Built our support system from zero, writing docs and handling all customer support
Ran 1,000+ demos, turning feedback into product and sales motion improvements
Spring 2022 - Created and led Superset Plus, a white-glove launch marketing service for creators. I owned the full customer lifecycle from onboarding through post-launch support, working closely with two marketers and a designer to test whether higher-touch service could improve outcomes.
We did this by narrowing our ICP based on the personas who had already found success on the platform and, with greater confidence, delivered a service designed to consistently unlock success for that segment. This led to increases in ARPU, transaction volume, and GMV per customer. (read more in Growth section)
Summer 2022 - Identified an opportunity for a major ICP shift through launch debriefs, structured user interviews, and recurring customer blockers. These insights led to our pivot toward Superset v2
Fall 2022 - I rebuilt our top-of-funnel, onboarding, positioning, and sales motion from scratch to align with our new ICP and differentiate in a more competitive landscape.
Conducted user interviews with new and existing customers to uncover opportunities in the 1:1 coaching market and better understand how to position Superset v2 against a new set of competitors.
Spring 2023 - Manually converted our waitlist into paying customers through 1:1 demos and phone calls, onboarding the first 100 Superset v2 users. Once we had enough insight from these early conversations, I translated that learning into a scalable self-serve conversion funnel.
Formed repeatable beta launch process to gather feedback, iterate, and launch the best product to the masses.
Launched dozens of growth experiments across onboarding and activation, establishing the foundation of our product-led growth loop. Most notably, myself and our marketing lead, created Freebie Friday—a weekly resource drop (workout templates, liability waivers, etc.) that served as both valuable standalone content and seamless entry points into our product. This campaign generated 100k+ opt-ins to date and drove 40k+ new trials. (full mention in growth section)
Fall 2023 - As the team grew, I worked cross-functionally with design and engineering to prioritize roadmap features using product usage data (via Amplitude) and user feedback gathered through interviews, event-triggered surveys, demos, and roadmap surveys.
I also took ownership of revenue operations, partnering directly with the founder to manage our financial model. This included forecasting growth, analyzing runway, and identifying pricing opportunities and revenue levers.
Summer 2024 - With a growing team of four engineers and two designers, I led the adoption of new processes and tooling to support better collaboration and delivery. This included implementing workflows for bug reporting, weekly team meetings, design-to-engineering handoff protocols, project follow on protocols, project retrospectives, and a clear prioritization system. I also rolled out platforms like Linear to help us plan sprints, manage the backlog, and coordinate cross-functional execution.
Spring 2025 - Strategized, tested, and deployed a usage-based pricing model that doubled conversion volume and increased monthly cohort NRR from 93% to over 120%.
Led a company-wide shift toward integrating AI as a functional extension of each team:
Customer Support — Migrated to Intercom and trained an AI agent to resolve 80% of incoming tickets, handling ~900 chats per month
Design/Product — Used Claude to build working prototypes for early feedback and iteration, reducing reliance on engineering during discovery
Growth — Used Claude/ChatGPT to forecast revenue, model pricing changes, and measure the revenue impact of product adoption
Engineering — Adopted Claude/Cursor to accelerate development and bug resolution
Led discovery to understand how AI could deliver a similar impact for our customers by acting as their “next hire.” We focused on identifying high-effort, low-leverage workflows that limited coach growth. By asking, “If you could hire someone tomorrow, what would they take off your plate?”, we uncovered clear opportunities for an agent to remove bottlenecks—primarily by offloading administrative tasks that prevent coaches from scaling.