Navi Kang
Open to full-time roles

I turn growth problems into operating systems.

13 years building the growth and operating systems behind venture-backed startups and enterprises. $50M+ in incremental revenue across 100+ companies.

I built and ran the 25-person delivery org behind that work, and partner with CEOs and boards on monetization, planning, and margin.

Download resume (PDF)
Cleveland, OH Open to NYC / SF navikang333@gmail.com
Navi Kang
$50M+
Incremental revenue driven across 100+ companies
3x
Conversion rate at a SaaS investment platform, 6x new MRR in 18 months
$3M→$9M
ARR at a DTC wellness brand in three years
Track record

Where the numbers came from

Oct 2018 – Present
Cleveland, OH

Northpeak

Founder & Operator
  • Built and led an experimentation and growth systems studio, driving $50M+ in incremental revenue for 100+ SaaS, eCommerce, marketplace, and B2B companies through full-funnel GTM redesigns, monetization strategy, and AI-enabled experimentation programs averaging 30%+ conversion lift.
  • Directed a distributed contractor bench of 25 across product, design, engineering, and analytics, increasing delivery velocity 40% and cutting research-to-test cycle time 60%.
  • Partnered with CEOs and executive teams on multi-year transformations, closing 6-figure contracts and aligning board-level growth strategy with revenue, margin, and operating improvements.
Selected engagement

Briefing

Business Growth & GTM Lead · Nov 2021 – Oct 2025 · SaaS investment research
  • Led a multi-year GTM, monetization, and digital transformation with the CEO, executive team, and Board.
  • Redesigned the subscription model and customer journey: 3x conversion rate, 6x new MRR in 18 months, 7 figures in incremental revenue.
  • Built a demand engine across SEO, affiliates, and paid search, raising organic impressions ~300% in 12 months.
Apr 2019 – Dec 2022
Boulder, CO

Joy Organics

Growth Strategy & Operations Lead · Consulting engagement
  • Partnered with the CEO on growth strategy and operating transformation, scaling the business from $3M to $9M ARR (300% YoY) in a competitive, regulated market.
  • Built data infrastructure and an experimentation-driven growth model: 3x improvement in LTV:CAC and 15%+ increase in customer lifetime value.
  • Designed repeatable acquisition and lifecycle systems, aligning marketing investment with unit economics.
Oct 2019 – Dec 2023
Columbus, OH

Work From Here

Co-Founder & CEO
  • Built a two-sided marketplace connecting 1,000+ remote workers with underutilized spaces. Developed the business model, financial forecasts, and fundraising strategy. Techstars NYC Winter 2023 finalist.
Jun 2013 – Apr 2016
Columbus, OH

J.P. Morgan

Senior Strategist, Analytics & Customer Experience
  • Led a strategy and analytics team optimizing mortgage customer experience, and contributed to an operational efficiency initiative that reduced expenses by 7 figures annually.
  • Partnered with the Innovation team to deploy new branch technologies and design changes nationwide.
Advisory

Operating advisor across three firms

Forward Share Ventures

Founding Fractional Expert & Advisor · Apr 2026 – Present

Advise founders on business operations, GTM strategy, and scaling at an operator-led venture studio, supporting the creation and growth of human-centered, tech-forward companies.

Rev1 Ventures

Venture Advisor · Feb 2022 – Present

Operating advisor to seed-stage founders on GTM strategy, operating cadence, and Series A readiness. 45% average YoY revenue growth across portfolio companies through engagement strategies, KPI dashboards, and scalable operating systems.

LOUD Capital

Entrepreneur-in-Residence · Feb 2017 – Oct 2018

Operating partner across 17 portfolio companies. Led GTM and business development at Bylined, driving 28% revenue growth and securing enterprise contracts including The Ohio State University. Contributed to fund-level value creation across $100M+ in early-stage and growth equity.

AI systems in production

Built without an engineering team

The architecture behind the other two

WAT Framework

Agent systems fail when one model has to decide and execute at the same time. WAT splits those jobs across three layers.

Layer 1
Workflows
Markdown SOPs holding the institutional knowledge. 25+ running live.
Layer 2
Agents
Make the judgment calls, sequence the work, recover from failures.
Layer 3
Tools
Deterministic Python. Same input, same output, every time.
59% End-to-end success

Five chained steps at 90% accuracy give 59% success. That is why judgment goes to the model and execution goes to code.

Compound CRO platform

Six-agent pipeline carrying a client site from intake to a live experiment. Multi-tenant, with authentication and billing.

intakecrawlhypothesis analyticsexperimentresults
ExperimentOS Experimentation pipeline

Carries client experiments from research intake to live test to readout.

60%cut in research-to-test time
Toolbelt

What I actually use

AI & automation
Claude Code · Claude API · MCP servers · agent orchestration · workflow design · Make · Zapier
Analytics & measurement
GA4 · BigQuery · Google Search Console · Google Tag Manager · Looker · Hex · Excel
Experimentation & growth
A/B testing · GrowthBook · CRO · user research · heatmaps and session replay · Figma · Klaviyo · Meta Ads