Falk Gottlob

Falk Gottlob

Founder at Falkster AI

Qualifications

Architects AI-native product strategies that drive digital transformation, unify workflows, and scale global teams

Decades of product leadership across MarTech, healthcare, SaaS, and enterprise systems

Education

M.S., Computer Science, New York University

Expertise

AI-native product strategy

Enterprise SaaS platforms

MarTech

Healthcare technology

Product leadership

Digital transformation

Falk Gottlob is Founder of Falkster AI and a veteran technology executive with decades of experience building enterprise platforms across MarTech, healthcare, SaaS, and digital experiences. As former Chief Product Officer at Smartcat, he led the company’s transformation into an AI-native ecosystem for collaboration between humans and intelligent agents.

Experience

Founder at Falkster AI

Apr 2026 — Present · 3 mos

Builds AI-native product-management and agentic solutions.

Independent Advisor & Board Member — AI-Native Enterprise Platforms (falkster.com)

Jan 2024 — Present · 2 yrs 6 mos

Advises founders and executives building AI-native enterprise platforms.

Chief Product Officer at Smartcat

Nov 2024 to Apr 2026 · 1 yr 5 mos

Led the transformation of a category-leading localization platform into an AI-native, multi-agent system.

Chief Product Officer at SOCi, Inc.

May 2023 to Oct 2024 · 1 yr 5 mos

Drove AI product strategy for a co-marketing cloud for multi-location enterprises.

Chief Product Officer at Commure

Aug 2019 to Feb 2023 · 3 yrs 6 mos

Helped build a full-stack AI healthcare platform from the ground up ($500M raised).

Qualifications

Architects AI-native product strategies that drive digital transformation, unify workflows, and scale global teams

Decades of product leadership across MarTech, healthcare, SaaS, and enterprise systems

Education

M.S., Computer Science, New York University

Expertise

AI-native product strategy

Enterprise SaaS platforms

MarTech

Healthcare technology

Product leadership

Digital transformation

Our Editorial Guidelines

Smartcat’s content goes through a rigorous editing and fact-checking process that includes reviews by insurance agents, data scientists, and multiple editors with years of experience in insurance and personal finance. We vet every article and report for: accuracy, educational value, objectivity, enjoyability.