Responsibilities

• Own pipeline: set demand generation targets alongside sales and leadership, then build and run the programs to hit them.
• Build a repeatable inbound motion across content, search, paid, email, and web, with honest attribution from first touch to closed won.
• Run account-based campaigns against a defined list of hardware engineering organizations, working shoulder to shoulder with founder-led and early enterprise sales.
• Develop messaging and positioning for a technical audience of systems engineers, program managers, and engineering executives, then test it until it lands.
• Treat the website as a conversion surface: product pages, technical content, demo requests, and self-serve entry points.
• Own the events and field calendar, including industry conferences, customer roundtables, and webinars that reach buyers in regulated industries.
• Stand up marketing operations and reporting so every program carries a cost per opportunity and a clear signal on what to cut or scale.
• Partner with product and engineering on launches so new AI capabilities reach the market with a story customers actually understand.

Requirements

• 8+ years in B2B marketing, including 2+ years leading growth or demand generation, ideally taking a startup from early traction to repeatable pipeline.
• Track record of owning a pipeline number and hitting it, with the reporting to show how you got there.
• Experience marketing a technical product to a technical buyer. Exposure to hardware, aerospace, defense, automotive, or engineering software is a strong plus.
• Comfortable with long, multi-stakeholder enterprise sales cycles and the content and nurture programs they require.
• Strong writer who can turn complex engineering workflows into clear, credible copy without overclaiming.
• Analytical and self-sufficient with funnel data, experiment design, and attribution.
• Comfortable in a high-ownership, fast-paced environment where you scope your own work and ship it.

Benefits

• Health, dental, and vision coverage.
• Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.