Growth Lead overseeing unconventional growth strategies and experiments at SimpleClosure, a leading business closure technology company. Aiming to establish impactful solutions through marketing and product collaboration.
Responsibilities
Design, launch, and evaluate a continuous portfolio of growth experiments, with a focus on high-potential, currently unscalable initiatives
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
Treat AI tools as core infrastructure, not a bonus - for research, content generation, personalization, outreach, data analysis, and automation
Build AI-assisted workflows that let one person do what would otherwise require a team
Stay current with what's possible and continuously upgrade your toolkit
Document what works, what doesn't, and why, turning individual experiments into institutional knowledge
Create a culture of experimentation across the GTM org by sharing results openly and generously
Bring data into every conversation and make the invisible visible
Requirements
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
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