Hi, I'm Tony Gibbons - Founder at Ember Agentic Labs
I am driven by the intersection of high-scale engineering and rigorous financial logic. I thrive in complex environments where I can build trustworthy systems that simplify ambiguity and drive massive impact.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Architected Google Cloud's primary $XXB+ revenue data solution supporting 8,000 daily users.
Currently building innovative agentic AI systems as a founder to solve complex operational challenges.
Provides expert guidance on scaling data teams, improving financial forecasting, and architecting robust enterprise systems.
🚀 Career trajectory
Strategic Operations Foundation
Began by managing data center supply chains and technical programs at scale.
✦ Operations
✦ Supply Chain
Cloud Analytics Leadership
Evolved into managing data science and engineering to solve massive-scale financial challenges.
✦ Data Strategy
✦ Finance Transformation
Founding & Agentic Innovation
Transitioned to entrepreneurship to build next-generation agentic AI solutions.
✦ Founder
✦ AI/ML
💪🏻 Superpowers
Financial Systems Architect
Engineering high-stakes capital and operational efficiency
Delivered $100M in CapEx savings through predictive inventory machine learning models.
Refined R&D planning cycles, reducing OpEx variance from 20% to just 1%.
Data Infrastructure Visionary
Building robust, enterprise-grade analytical engines
Architected Google Cloud's premier unified $XXB+ revenue reporting solution.
Engineered scalable ETL frameworks serving over 8,000 daily active power users.
Organizational Growth Strategist
Scaling complex cross-functional teams and executive operations
Scaled a specialized strategy and operations organization from 50 to 225+ members.
Integrated cross-functional stakeholder management to drive Cloud Finance Transformation initiatives.
I'm excited about
Exploring collaborative opportunities with fellow founders in the agentic AI space.
Seeking mentorship on scaling early-stage venture operations and product-market fit.
Discovering professional groups that prioritize high-scale data architecture and financial technology.
I can help with
Advising engineering teams on scaling data architecture for massive, complex datasets.
Mentoring data leaders on bridging the gap between technical infrastructure and finance.
Consulting on implementing ML-driven financial planning for improved operational efficiency.
I would love your help on
Finding co-founders or strategic partners for the growth phase of a new startup.
Gaining insights into effective go-to-market strategies for B2B agentic software solutions.
Connecting with peers navigating the transition from big-tech leadership to founder roles.