The Unseen Architect: How Carles Reina Builds Revenue Machines for the AI Era

This conversation with Carles Reina, CRO at ElevenLabs, reveals a crucial truth: the future of sales leadership isn't about optimizing existing processes, but about fundamentally re-architecting revenue generation for an AI-driven world. The hidden consequence of clinging to traditional CRO playbooks is obsolescence. Reina’s insights equip founders and sales leaders with a strategic blueprint to build enduring revenue engines by embracing complexity, prioritizing long-term advantage over short-term gains, and understanding that true innovation often lies in the difficult, unconventional paths. Those who internalize these lessons will gain a significant competitive edge in navigating the rapidly evolving AI landscape.

The CRO's AI Imperative: Beyond Transactional Agents

The traditional role of a Chief Revenue Officer is undergoing a seismic shift, driven by the pervasive influence of AI. Carles Reina argues that many CROs risk being left behind because they fail to grasp the fundamental evolution of company building and distribution in this new era. The temptation is to view AI as merely a transactional tool--like AI-powered SDRs or automated outreach. However, Reina dismisses this approach, highlighting that such tools often fail because they treat every lead as a generic transaction, ignoring individual preferences and the nuanced realities of human communication. The plummeting response rates of outbound emails serve as a stark indicator of this disconnect.

"Outbound is dead unless you do it with humans or unless you do it humanly."

Reina's vision for AI in sales is far more integrated and sophisticated. At ElevenLabs, he has championed the development of AI agents that go beyond simple automation. These agents are designed to understand individual customer preferences, handle complex tasks like scanning for RFPs, scoring proposals, and even drafting personalized customer success communications. The key differentiator, he emphasizes, is that these AI agents are perceived as human, thereby maintaining the essential element of trust and connection. This human-centric approach to AI enables significant productivity gains, allowing for a smaller, highly compensated team of top performers rather than a bloated, less efficient workforce. The consequence of this strategy is not just cost savings, but a more focused, high-impact revenue organization.

The 20x Quota Paradox: Driving Elite Performance Through Ambitious Goals

The discussion around sales compensation and quotas offers a compelling glimpse into Reina's philosophy of driving exceptional performance. He advocates for setting ambitious, even seemingly audacious, quotas. The example of two employees hitting their entire full-year quota by February illustrates this point. While some might see this as a missed opportunity for revenue capture, Reina frames it as a success. He believes that challenging quotas attract and motivate top talent who crave difficult problems and the rewards that come with solving them. The "Mount Olympus of sales" metaphor underscores the aspirational nature of these goals.

"If you don't put that challenge, they're just going to be slacking. You're not going to get the best out of it."

The strategy extends to accelerators, where exceeding quota unlocks significantly higher commission rates. This incentivizes not just meeting targets, but shattering them, ensuring that high performers are handsomely rewarded for the outsized value they bring. Crucially, Reina draws a line at commissioning pilots, arguing that they don't contribute to the company's valuation and therefore shouldn't be incentivized with sales commissions. This focus on long-term value creation over short-term transactional wins is a recurring theme. Furthermore, his approach to customer success is equally radical: it must be a "money generation function," incentivizing growth and expansion, not just satisfaction. This contrasts sharply with the notion of CS as a cost center, highlighting a systemic approach where every function is geared towards revenue acceleration.

Global Ambition and the Veteran Advantage: Navigating Markets with Experience

Reina challenges the conventional wisdom of VCs and startup founders who advocate for a singular market-first approach. He argues that in today's rapidly evolving landscape, where competitors can emerge overnight, a "global-first" mentality, or at least a multi-market strategy, is often more prudent. The "bullshit" of VCs pushing a slow, sequential market entry strategy is exposed by the reality of competitive pressure. This necessitates testing multiple go-to-market approaches simultaneously--including self-serve, resellers, partners, and various channel strategies.

A particularly insightful point is Reina’s defense of hiring experienced sales veterans, countering the common startup excuse that they won't fit the culture. He asserts that individuals with decades of experience possess invaluable market knowledge and relationships that can dramatically shorten sales cycles and propel growth. The example of Google’s early success with Eric Schmidt is invoked to illustrate how experienced leadership can complement entrepreneurial drive. This perspective suggests that overlooking seasoned professionals is a missed opportunity, a failure to leverage a critical, albeit less "sexy," asset that can provide a durable competitive advantage. The implication is that experience, when combined with the right mindset and a willingness to adapt, is not a liability but a powerful accelerant.

Actionable Takeaways: Building Your Revenue Machine

• Embrace AI as a Strategic Architect, Not a Transactional Tool: Move beyond basic automation. Invest in developing AI agents that understand customer nuance and integrate deeply into your revenue processes. This requires dedicated engineering resources, not just off-the-shelf solutions.
  • Immediate Action: Audit your current AI tool stack. Identify areas where AI could be more deeply integrated to understand customer preferences rather than just execute tasks.
• Set Ambitious, "20x" Quotas: Challenge your sales team with aggressive targets that attract and retain top talent. Ensure your compensation structure, including accelerators, richly rewards exceeding these ambitious goals.
  • Immediate Action: Review your current quota structure. Identify if it is truly challenging for your top performers or if it allows for complacency.
• Commission Expansion and Retention: Structure compensation to reward not only new logos but also the growth and retention of existing accounts. This fosters a long-term, customer-centric revenue strategy.
  • Immediate Action: Assess your current commission plan. Does it adequately incentivize your sales team to focus on expansion and retention revenue?
• Customer Success as a Revenue Engine: Redefine Customer Success from a cost center to a profit driver. Incentivize CS teams to identify and close expansion opportunities, fostering growth and deepening customer relationships.
  • Immediate Action: Evaluate your CS team's current KPIs. Are they solely focused on satisfaction metrics, or do they include revenue-generating activities?
• Test Multiple Markets and GTM Strategies Simultaneously: Do not wait for perfect product-market fit in one region before exploring others. Leverage AI and diverse channels to test multiple markets and go-to-market motions concurrently.
  • Long-Term Investment (12-18 months): Develop a framework for systematically testing new markets and distribution channels, treating GTM like a venture portfolio.
• Leverage Experienced Veterans: Do not shy away from hiring seasoned sales professionals. Their market knowledge, relationships, and understanding of complex sales cycles can be invaluable, especially in new or challenging markets.
  • Immediate Action: Identify key markets where experienced hires could accelerate traction. Begin networking and exploring recruitment for these roles.
• Prioritize Difficult, Differentiated Bets: Focus on solving complex problems and pursuing unconventional opportunities that others avoid. This is where sustainable competitive advantage is built.
  • Immediate Action: Identify one "difficult but necessary" initiative that is currently being deprioritized due to its complexity or lack of immediate payoff. Begin a small-scale experiment.