Responsibilities

• Run a Rigorous Experiment Engine
• Build and maintain a structured test-and-learn framework: clear hypotheses, defined success metrics, disciplined post-mortems
• Move quickly from idea to live test (days, not weeks)
• Distinguish between ideas worth scaling and noise worth abandoning
• Identify and exploit non-obvious acquisition channels: communities, integrations, partnerships, content loops, viral mechanics, referral programs, and more
• Generate a disproportionate share of new leads and awareness through creative, high-leverage tactics rather than paid spend
• Look for compounding and flywheel effects - what can we build once that keeps delivering?
• Work closely with the product team to identify growth loops embedded in the product itself: onboarding, activation, referral, and retention hooks
• Identify where the product can do the marketing's job and vice versa
• Contribute to roadmap conversations with a growth lens

Requirements

• Ideal candidates MUST be located in New York City or Los Angeles metro areas.
• Demonstrated track record of running scrappy, high-impact growth experiments, ideally in an early-stage or growth-stage startup
• Strong analytical foundation: you can pull, interpret, and act on data without needing a data analyst to do it for you
• AI-native: you actively use AI tools to multiply your output and you're constantly exploring what's newly possible
• Entrepreneurial mindset: you treat this role like a founder would — comfortable with ambiguity, energized by uncertainty, driven to create
• Creative and systems-oriented: you can generate a hundred ideas and also build the infrastructure to test them systematically
• Excellent collaborator: you'll work across product, marketing, sales, and ops, and you need to bring people with you without formal authority
• Hungry: you want to make a real mark and you're not satisfied with incremental

Preferred

• Experience building or growing a product with a viral or referral component
• Familiarity with legal, financial, or professional services markets
• Background in product management, engineering, or data science in addition to marketing or growth. Being an ex-founder could also be a plus here.
• Experience building AI-assisted workflows or agents for marketing use cases

Benefits

• Unlimited PTO
• Competitive equity package
• Employer Covered Medical Benefits
• Two in-person team retreats a year