Watch the Recap : How to Build a Revenue Team Investors Love
How to Build a Revenue Team Investors Love
Hosted by
RevGenius
Contact host
Virtual event
Airmeet
Link available for attendees
In the wake of a venture funding slowdown, recent boosts from mega-rounds and AI investments have highlighted a stronger market shift (Crunchbase). If you’re part of an early-stage startup and preparing to raise funds, this session is a must. Discover how to build a revenue team that exceeds investor expectations. We’ll cover effective team structure, goal-setting, key metrics, and more.
Key Takeaways:
- Learn what investors are looking for in a revenue team, including leadership, strategy, and results.
- Team structure — understand how to organize your team with clear roles and effective communication.
- Discover how to develop the leadership qualities your company needs and strategies for attracting and retaining top talent.
- Identify the key performance indicators (KPIs) that matter to investors and master effective reporting methods.
Grab the playbook — apply lessons and best practices from successful revenue teams and industry leaders.
RevCon 24′ was powered by:
Speakers
Tiffany Gonzalez, Head of Growth & Revenue Operations at Microsoft
Operationally oriented revenue executive with 20+ years in the technology business. Leader of growth, revenue, and change management, including business development, B2B sales & customer acquisition, marketing, product, and sales operations. Currently at Stage 2 Capital, a venture capital firm that invests in early-stage B2B software companies and sits shoulder-to-shoulder with leadership teams to operationalize sustainable revenue growth and sales operations.
Lindsay Cordell, Partner at GTM Partners, Analyst, GTM Expert
Lindsay Cordell is an accomplished GTM leader with over 15 years of experience in the field. As a Partner at GTM Partners, Lindsay plays a pivotal role in empowering clients to develop and refine their Go-To-Market Strategies, whether they are building from the ground up or seeking to optimize existing approaches for maximum efficiency.