




FOUNDING GTM & STRATEGIC GROWTH LEAD needed at one of our STARTUP quant research applied AI clients! Full time on site (with some flexibility) in NYC only. Base $175k - $250k+ plus strong commission and EQUITY. Chance to be the first commercial hire and one of their earliest hires in general. Looking for exactly 5 - 12 years of exceptional performance in Top-tier Management Consulting, Venture Capital, or zero-to-one commercial leadership at an early-stage startup.
A fast-growing AI startup founded by world-class quantitative researchers is looking for a strategic builder to architect its commercial engine. In this senior leadership role, you will work directly alongside the founding team to drive and shape the trajectory of the business.
Mandate:
• Design, test, and run the commercial motion targeting Chief Investment Officers, Fortune 500 CFOs, Heads of Business Intelligence & Strategy, and Investor Relations leaders.
• Spearhead strategic executive outreach and personally guide early customer success to maximize retention and expansion.
• Help craft how executive teams perceive data-driven intelligence, establish our new category, and accelerate our status as thought leaders.
• Actively refine product roadmaps, competitive positioning, pricing, and recruiting alongside the founders.
• Take full accountability from initial thesis and narrative positioning to closed enterprise mandates.
Your Profile
• 5 - 12 years of exceptional performance in Top-tier Management Consulting, Venture Capital, or zero-to-one commercial leadership at an early-stage startup.
• Proven ability to dissect undefined problems, build frameworks from scratch, and execute ruthlessly.
• Capable of commanding trust with institutional finance leaders and corporate executives.
What Success Looks Like
• Operate with autonomy where no established playbook or ICP exists; build, test, and scale our go-to-market playbook in uncharted territory.
• Combine intellectual sharpness with domain expertise to articulate the commercial value of predictive data science to enterprise leadership.