Responsibilities

• Set the growth strategy across PLG and enterprise motions, with clear bets, targets, and operating cadence.
• Build a measurable full-funnel engine: acquisition, activation, trial conversion, pipeline creation, expansion, and retention influence.
• Lead demand generation across paid, organic, lifecycle, partner, community, and developer channels.
• Improve the path from first product interaction to durable team adoption.
• Partner with Product and Engineering on growth experiments, onboarding, pricing and packaging signals, and conversion opportunities.
• Partner with Sales and Customer Success on account-based programs, pipeline quality, expansion plays, and market feedback.
• Build attribution and reporting that helps the company decide where to invest—and stop investing.
• Hire and develop a high-performing growth team across performance marketing, lifecycle, operations, and analytics.
• Protect the quality of the brand while moving quickly. Developers can spot empty marketing from a mile away.

Requirements

• 10+ years in growth or demand-generation leadership, including experience owning a company-level growth number.
• A track record scaling B2B SaaS, ideally with both self-serve/PLG and sales-assisted motions.
• Deep fluency in lifecycle marketing, paid acquisition, conversion-rate optimization, attribution, and growth analytics.
• Experience marketing technical products to developers, engineering leaders, or security/IT buyers.
• Strong judgment about channel quality: you know the difference between attention, intent, and revenue.
• Experience building teams and operating systems, not just running campaigns.
• Comfort working closely with product, data, sales, customer success, and executive leadership.
• Clear writing and a bias for concrete claims over generic AI marketing language.

Preferred

• Experience in developer tools, AI infrastructure, code quality, security, or the modern SDLC.
• Experience taking a company from strong product pull to a more mature multi-channel revenue engine.
• Familiarity with enterprise buying cycles and technical evaluation motions.