Responsibilities

• Own the demand gen engine end to end: paid, email nurture, webinars, and campaign execution that drives demo bookings
• Build and run ABM programs targeting Am Law 100/200 firms and Fortune 500 in-house IP teams
• Own SEO and AEO execution: keyword strategy, content briefs for contractors, technical health, and visibility in AI answer engines
• Build the measurement layer: attribution, funnel reporting, cost per opportunity, and pipeline contribution by channel
• Run experiments with clear hypotheses and success criteria, then turn winners into repeatable, documented programs and cut losers fast
• Turn case studies and proof points (like 90%+ time savings and $38K margin gains) into conversion assets: landing pages, email sequences, event follow-up
• Partner with sales on lead handoff, follow-up SLAs, and feedback loops so pipeline quality keeps improving
• Collaborate with events marketing and the broader GTM team so campaigns, events, and sales plays land as one coordinated motion, not parallel efforts

Requirements

• 4+ years in B2B SaaS growth or demand generation, with at least 2 years in an enterprise, sales-led motion (six-figure ACVs, long cycles, no self-serve)
• High-growth scaleup experience marketing to enterprise buyers: you've built demand programs while the company scaled underneath you, and you know how to create structure without slowing down
• A track record you can show: pipeline sourced, demo volume grown, CAC improved. Specific numbers, not vibes
• Hands-on ABM experience targeting a narrow, senior buyer set
• Working command of the modern stack: marketing automation (HubSpot or similar), CRM, paid platforms (LinkedIn Ads especially), SEO tooling, and web analytics
• SEO/AEO fluency: you understand how buyers find answers through both search engines and AI assistants, and you know how to win in both
• Strong writing. Our audience notices sloppy copy. So do we
• Based in New York or willing to relocate. This role is in-office in NYC
• An AI-first mindset. This is a hard requirement, not a preference. AI agents are part of our working team alongside human talent, and your default should be “how do I build this with AI” before “how do I do this manually.” If you're still evaluating whether AI belongs in your workflow, this isn't the role

Preferred

• Legal tech, fintech, or other regulated/high-scrutiny industry experience
• Early-stage experience: you've built programs from zero, not just optimized mature ones