Growth Lead

SimpleClosure•New York, NY

21h•$125,000 - $185,000•Hybrid

About The Position

This is not a traditional marketing hire. This is a growth hacker: someone who operates at the intersection of product, marketing, and data to find and prove the next set of levers that could meaningfully inflect our growth curve. You will own a portfolio of experimental initiatives, most of which will fail. That's the point. You'll design the experiments, run them fast, extract the signal, and double down on what works. You're not here to manage systems, you're here to discover them. This role sits alongside - but is distinct from - our marketing and product teams. You'll touch nearly every part of the organization, which means you need to be as good at influencing and collaborating as you are at building and testing. This is an IC role to start, with a path to building a team if you prove the playbook. Ideal candidates MUST be located in New York City or Los Angeles metro areas.

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

Nice To Haves

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

Responsibilities

Run a Rigorous Experiment Engine
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
Supercharge Top of Funnel
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?
Operate at the Product-Marketing Intersection
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
Use AI as a Force Multiplier
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
Synthesize and Share Learnings
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