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AirOps · 1 hour ago

Cracked Growth Operator

NYC Metro Area

Full-time

Onsite

Mid Level

3+ years exp

AirOps is a pioneering content engineering platform that helps brands enhance their visibility in the AI era. They are seeking a Cracked Growth Operator to drive innovative growth strategies and execute high-impact projects at the intersection of product, marketing, and distribution.

Artificial Intelligence (AI)Business DevelopmentDeveloper APIsDeveloper ToolsProductivity Tools

Responsibilities

Engineer Word-of-Mouth at Scale

Design and launch programs that turn users into advocates through referrals, affiliates, and activation plays

Build a marketplace-style experience that makes sharing and distribution easy, rewarding, and repeatable

Drive Product-Led Growth (PLG) Experiments

Partner with product/design to ship lightweight growth features that create shareable value and generate leads

Develop public-facing assets and recurring value-delivery mechanisms that keep users engaged and amplify distribution

Run the Experimentation Drumbeat

Prioritize and execute 1–2 growth experiments per week across product, marketing, and distribution

Move fast: test, learn, kill what doesn’t work, and scale the winners into durable programs

Architect High-Leverage Campaigns

Create and manage growth campaigns that combine sharp targeting, creative distribution, and rapid iteration

Use unconventional and non-traditional channels to break through noise and reach the right audience

Build AI-Native Growth Systems

Use AI and build tools to accelerate insights, personalization, and experimentation velocity

Develop playbooks and systems that push growth toward what 'best-in-class' will look like in the years ahead

Qualification

Growth marketingProduct-led growthAI tools developmentB2B SaaS experienceGTM tools proficiencyAnalytical skillsBias for actionStorytelling skills

Required

3+ years in growth, product, or hybrid operator roles in high-growth B2B SaaS or startup environments (OR you're just getting started but want this to be true)

Proven track record of running non-traditional plays that drove pipeline or user adoption

Comfort with both building (experiments, tools, scrappy campaigns) and analyzing (CAC, payback, SQLs/Opps, funnel metrics)

Hands-on experience with modern GTM tools like Clay, Smartlead, AirOps, or similar

Ability to code in Python or similar (for scraping, automation, lightweight data analysis, or stitching systems together)

Strong bias for action: thrives in ambiguity, ships fast, and iterates relentlessly

Excellent storytelling and influence skills — can pitch bold bets and rally stakeholders to support them