

Lessons from a 3x CRO: Fireside Chat with Adam Kay
Revenue leadership is one of the least repeatable jobs in SaaS. Every company is different. Every market has its own dynamics. The path to revenue changes every time.
Adam Kay has held the CRO role three times. He led the commercial function at Paddle from $0 to $100m ARR, was CRO at Playroll, raised over $100m as CRO at Sona, and is now building the revenue organisation at GoodFit.
This will be an evening of open conversation with someone who’s done the job, and peers who are doing it right now. MC'd by Machiel Kunst, CEO & Founder of Bluebird.
Hosted at one of our favourite venues, with food & drinks provided.
Expect to cover:
What transfers from one revenue leadership role to the next
Where most revenue orgs are over & under-investing right now
How revenue leadership is changing
The biggest mistakes that Adam (& others) have made & how to spot them early
Hosted by Bluebird & GoodFit.
About your hosts:
Machiel Kunst is a former SaaS sales leader turned founder. He built and scaled revenue teams across Europe before founding Bluebird, which has placed 1,500+ people across 500 SaaS & AI companies.
Adam Kay is currently building the revenue organisation at GoodFit.
Bluebird is a specialist recruitment and executive search partner for VC-backed SaaS companies. Our consultants are former SaaS professionals who assess talent with a deep understanding of the roles, ensuring fast, high-quality outcomes. We help founders scale GTM and product teams from Seed to Series C, typically delivering the hire you’ll end up making within just 7 working days. With a network of 30,000+ vetted candidates and a structured, candidate-first approach, we combine speed, credibility, and an exceptional experience to drive repeatable hiring success. We proudly partner with over 45 leading VCs across the UK and Europe to support their portfolio companies in building world-class teams.
GoodFit helps B2B revenue teams find, qualify, and prioritise every account in their market. We use custom data and classification models to uncover the accounts that standard providers miss — and quantify the expected value of each one. So you know exactly which accounts to target, through which channels, and why.