Kevin Jong/ Professional profile

Professional profile / New York

Kevin Jong

Principal AI GTM Operator

Kevin Jong builds AI-assisted go-to-market systems for AI, data, cloud, SaaS, and technical infrastructure companies. His GTM engineering and architecture work connects account context, buyer signals, enterprise ABM, personalized experiences, field execution, and performance feedback into a closed operating loop.

kevin.jong@live.com LinkedIn JSON Resume

01 / Operating focus

GTM engineering and architecture for technical markets.

Kevin connects the design of a go-to-market operating model with its day-to-day execution. Architecture establishes how context, decisions, and feedback fit together. GTM engineering puts those connections to work through account research, personalized experiences, seller handoffs, and continuous refinement.

  • GTM engineering
  • GTM architecture
  • AI go-to-market strategy
  • Agentic GTM systems
  • Account-based marketing (ABM)
  • Demand generation
  • Enterprise software marketing
  • Industry and vertical GTM
  • Product marketing
  • Buyer intent and account signals
  • CRM and field feedback loops
  • Closed-loop analytics
  • Sales and field enablement
  • AI-assisted content operations

02 / Experience

A career built across creative, demand, ABM, industry GTM, and AI systems.

  1. Principal, AI GTM Operator

    Genesis Computing

    - Present

    Builds the operating layer between product, market, and field execution for an AI and technical infrastructure company, with AI agents accelerating research, personalization, activation, and feedback.

    • Designed a closed-loop enterprise ABM system connecting account context, buyer signals, personalized experiences, field action, and performance feedback.
    • Enabled a two-person team to create more than 20 personalized account pages in one day.
    • Mutiny's vendor-published customer story reports a 3x meeting-booking rate headline and an 80% reduction in asset creation time; these are not independently audited results.

  2. Industries ABM, Manufacturing Lead

    Snowflake

    -

    Led manufacturing industry ABM and go-to-market programs for the Manufacturing Data Cloud across enterprise accounts.

    • Generated more than $16 million in pipeline.
    • Supported account-based programs across 74 Global 2000 manufacturing accounts.
    • Drove more than 200 SDR-logged meetings quarter over quarter.

  3. Strategic Programs Manager, ABM

    PandaDoc

    -

    Built strategic ABM programs and helped move an inbound-heavy motion toward enterprise account-based growth during PandaDoc's unicorn-stage expansion.

    • Helped shift a go-to-market motion that had been approximately 80% inbound toward account-based marketing.
    • Connected enterprise targeting, campaign strategy, and field execution during a major company growth stage.

  4. Demand Generation Manager

    OwnBackup

    -

    Led inbound demand generation for a rapidly growing enterprise SaaS company.

    • Generated more than $2 million in inbound pipeline in five months.
    • Increased lead volume by 26%.

  5. Demand Generation

    CoEnterprise

    -

    Built demand programs spanning IBM and Tableau services and the company's transition toward SaaS.

    • Generated more than $10 million in pipeline.
    • Helped reorient the go-to-market model from services toward SaaS.

  6. Creative Production

    NYFA, Dwek, and CW PIX 11

    -

    Built the creative foundation that now informs technical storytelling and go-to-market system design.

    • Worked across creative direction, video production, and brand storytelling.

03 / Public proof

Selected work and first-hand perspectives.

04 / About the work

How the work fits together.

What does Kevin Jong build?

Kevin builds closed-loop GTM systems for technical B2B markets. His work brings account research, buyer signals, enterprise ABM, personalized content, and field feedback into an operating model that can learn from each cycle.

How do GTM engineering and architecture connect in his work?

Architecture defines the relationship between signals, account context, decisions, and outcomes. GTM engineering connects that design to repeatable field execution. Kevin applies both perspectives to the operating layer between product, market, and revenue teams.

Where does AI contribute?

AI assists research, context synthesis, personalization, and content production. Human judgment remains responsible for the account thesis, message, quality, and next action. The goal is useful execution and feedback, not automation volume on its own.

Which outcomes are publicly documented?

Mutiny's vendor-published Genesis customer story reports 20+ personalized pages created in one day, a 3x meeting-booking rate headline, and an 80% asset-creation time reduction. These are reported outcomes, not independently audited results; the case study explains the source and its limitations.

Read the Genesis case study

Professional inquiries

Building GTM systems for technical markets?

Kevin focuses on making product, market, field, and feedback operate as one system.

Email Kevin