
Operational Partners for B2B MarTech Founders
Hands-on guidance for pre-seed to Series A B2B marketing technology companies. We don't just invest—we help you build, scale, and win.
$50k-200k
Check Size Range
Pre-Seed/Seed
Stage Focus
0-1 to IPO
Operational Experience
We invest in pre-seed and seed-stage B2B MarTech companies because we've built them ourselves. Our value isn't just capital—it's the operational expertise that comes from taking companies from concept to IPO.
The best investors are former operators who understand the complexities of building businesses. We provide $50K-$200K checks to early-stage B2B marketing technology companies, but more importantly, we provide the operational guidance that only comes from experience.
Whether it's finding product-market fit, scaling processes and teams, driving revenue growth, or navigating strategic market decisions—we've done it before and we'll help you do it better.
Built companies from 0-1 to IPO. We've been in your shoes and know the journey ahead.
Help founders navigate the critical early stages to find sustainable growth paths.
From processes to team building to revenue operations—we roll up our sleeves.
Market positioning, competitive strategy, and growth playbooks from proven operators.
We're proud to partner with exceptional founders building the future of B2B marketing technology.
We're always looking for the next generation of B2B MarTech innovators. If you're solving real problems with cutting-edge technology, we'd love to hear from you.
Submit Your PitchWe invest in early-stage B2B marketing technology companies that are transforming how businesses acquire, engage, and retain customers.
$100K-$2M
Check Size
Seed-Series A
Stage Focus
B2B MarTech
Sector Expertise
Advanced attribution, predictive modeling, and ROI optimization platforms
Multi-touch attribution
Predictive analytics
Marketing mix modeling
Personalization engines, journey mapping, and engagement optimization tools
Multi-touch attribution
Predictive analytics
Marketing mix modeling
Intelligent workflow automation, lead nurturing, and campaign management
Multi-touch attribution
Predictive analytics
Marketing mix modeling
ABM platforms, intent data, and enterprise targeting solutions
Multi-touch attribution
Predictive analytics
Marketing mix modeling
Machine learning for content generation, optimization, and decision making
Multi-touch attribution
Predictive analytics
Marketing mix modeling
Sales and marketing alignment, pipeline management, and revenue analytics
Multi-touch attribution
Predictive analytics
Marketing mix modeling
Operator-turned-investor with deep expertise in building and scaling B2B marketing technology companies from concept to public markets.

GENERAL PARTNER & FOUNDER
EJ brings operational expertise from building multiple B2B MarTech companies from startup to IPO. As a former operator who has navigated every stage of company growth, he understands the unique challenges founders face in the marketing technology space.
His hands-on approach focuses on helping founders achieve product-market fit, scale operations, build high-performing teams, and drive sustainable revenue growth through proven frameworks and strategic guidance.
Battle-tested experience across every stage of company building, from early product development to scaling teams and navigating public markets.
0-1 Building
Product & Market
Team Scaling
Hiring & Culture
Revenue Growth
Sales & Marketing
Public Markets
Fundraising
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Ready to partner with an operator who's been where you're going? Let's discuss how we can help accelerate your B2B MarTech vision.
New York City
Available for in-person meetings
Within 24 Hours
Usually same-day for qualified opportunities
Pre-seed or seed-stage B2B MarTech founders seeking $50K-$200K investment plus operational guidance.
Submit Your Pitch DeckInclude: stage, traction metrics, team background, and specific operational challenges
Accredited investors seeking exposure to early-stage B2B MarTech with operational value-add.
Request LP InformationFund details, investment thesis, portfolio performance, and commitment minimums