Head of Marketing

Core responsibilities:

• Define and own Phaidra's global marketing vision, strategy, positioning, and narrative for AI factories and AI-native industrial automation
• Build the marketing function from the ground up, including processes, tools, budgeting, reporting, and frameworks for future hires
• Build and execute demand generation programs that drive qualified pipeline and revenue
• Lead content and brand initiatives across blogs, videos, podcasts, website, social media, and other owned channels

This role creates positive change by positioning Phaidra as the strategic AI partner of choice for AI factories and data centers, enabling industrial facilities to automatically learn and improve over time through AI-powered control systems, which can significantly reduce energy consumption and improve efficiency in critical infrastructure.

Required qualifications:

• 10+ years of marketing experience in tech, with leadership experience at a Series B or later-stage company
• Proven track record of driving measurable pipeline and revenue impact through marketing programs
• Experience building and executing marketing strategy from zero (zero-to-one experience preferred)
• Strong background in positioning, messaging, and storytelling for complex technical products
• Exceptional cross-functional leader, able to work effectively with Sales, Product, Solutions, and executive leadership

Benefits and perks:

• Competitive compensation & meaningful equity
• Medical, dental, and vision insurance (exact benefits vary by region)
• Unlimited paid time off, with a required minimum of 20 days per year
• Paid parental leave (exact benefits vary by region)
• Flexible stipends to support your workspace, well-being, and continued professional development
• Company MacBook
• 100% remote company with documentation-first, asynchronous communication culture

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time using reinforcement learning algorithms to convert raw sensor data into high-value actions and decisions.