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Jose Balbuena

Founder & GTM Engineer at Mantyl

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Overview

Jose Balbuena is Founder & GTM Engineer at Mantyl[1], a role held since June 2025[5]. Balbuena is a strategy and operations leader with 8+ years of experience across go-to-market, venture capital, and consulting, specializing in AI automation and revenue engineering[2]. Balbuena holds a Master of Science in Engineering from Stanford University[11] and is pursuing concurrent Master of Business Administration and Master of Science degrees in Artificial Intelligence & Machine Learning from Columbia Business School and Columbia Engineering[12][13]. Prior experience includes roles as Product Marketing at Noodle[6], MBA Associate at Angeles Investors[8], Venture Fellow at SomosVC[9], and Product Growth at KidvoKit[10]. Balbuena currently holds concurrent positions as Client Partner for GTM at Skill[3] and Client Partner for Growth at Aquent[4].

Profile introduction
Source excerptLinkedIn [2]

Strategy and operations leader with 8+ years of experience across GTM, VC, and consulting, now operating at the intersection of AI automation and revenue engineering. I specialize in building agentic workflows, AI-powered GTM and sales systems, and end-to-end outbound/inbound infrastructure that helps B2B teams scale efficiently. My work spans Clay, Make, n8n, Claude Code, Salesforce, and HubSpot, combining technical depth with business strategy to turn complex processes into repeatable, data-driven systems. Certified across the tools I build with: 4x Clay Certified (Outbound Automation, AI…

Career history

  1. Client Partner, GTMApr 2026 to presentSkill
  2. Client Partner, GrowthApr 2026 to presentAquent
  3. Founder & GTM EngineerJun 2025 to presentMantyl
  4. Product MarketingMar 2025 to Jun 2025Noodle
  5. MBAˣMS (AI & ML) CandidateAug 2023 to May 2025Columbia Business School
  6. MBA Associate | Angeles VCSep 2024 to Feb 2025Angeles Investors
  7. Venture FellowSep 2024 to Dec 2024SomosVC
  8. Product GrowthSep 2024 to Dec 2024KidvoKit

Education

  1. Master of Science - MS, Engineering2016 - 2017Stanford University
  2. Master of Business Administration - MBA, Enterprise Technology Management2023 - 2025Columbia Business School
  3. Master of Science - MS, Artificial Intelligence & Machine Learning (AI & ML)2023 - 2025Columbia Engineering

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