Jay Shah

Co-Founder

San Francisco, California, United States8 yrs 11 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Over 10 years in ad-tech and performance marketing.
Co-founded a successful AI marketing platform.
Led high-impact projects at Facebook for top advertisers.

Stackforce AI infers this person is a MarTech expert with a strong focus on AI-driven performance marketing solutions.

Contact

Skills

Core Skills

Performance MarketingArtificial Intelligence (ai)EngineeringComputer Vision

Other Skills

Technology LeadershipMachine LearningMobile ApplicationsWindows AzureStartup DevelopmentWindows PhoneMobile StrategyWeb ApplicationsSilverlightObjective-CSoftware DevelopmentWeb ServicesWCFWPFAndroid

About

After 10+ years building ad-tech systems at the center of performance marketing—including time as a software engineer at Meta, and co-founding a platform that managed millions in spend, I’m now building 10x: the AI co-pilot for performance marketing. The shift is obvious: bids, budgets, and targeting keep getting automated. Creative becomes the lever. The hard part isn’t producing assets, it’s knowing what to make, for whom, and why it should win. At 10x, we’re building the creative intelligence layer that turns market + competitor + persona signals into high-conviction concepts → ready-to-test ads, and then learns from outcomes to sharpen the next iteration. We’re onboarding a small set of alpha partners spending $200k+/month to refine the product with real constraints, real velocity, and real accountability. If you want to scale performance through better creative and ship winning iterations faster, let’s connect.

Experience

10x productivity

Founder

Oct 2025 – Present · 5 mos · San Francisco Bay Area · On-site

As Founder & CEO, I help brands adapt to the new reality of performance marketing: as platforms automate targeting and optimization, the biggest driver of growth becomes what you say and show.
Most teams weren’t built for a world where you need to consistently produce fresh, audience-relevant creative at high speed. We help leaders make that transition so that marketing feels less like guesswork, learning cycles get faster, and the work you ship is more likely to earn attention and convert.

Performance MarketingArtificial Intelligence (AI)

Blkbox.ai

Chief Technology Officer

Oct 2020 – Nov 2024 · 4 yrs 1 mo · California, United States

Co-founded and led engineering, product, and design for a bootstrapped AI marketing platform that grew to mid–seven figures in revenue over five years.
Built a cutting-edge ad tech platform covering the full performance marketing lifecycle: competitor analysis, creative strategy, campaign planning, execution, and reporting.
Designed with one goal—maximizing ROAS for some of the top gaming companies in the world.
Led development of intelligent automation and AI-driven insights that scaled media buying expertise across teams.

Artificial Intelligence (AI)Performance Marketing

Facebook

Software Engineer

Oct 2017 – Oct 2020 · 3 yrs · Menlo Park, California

Helped top advertisers in gaming and e-commerce spend hundreds of millions per month effectively and profitably.
Delivered high-impact projects including Playable Ads and Automatic Placements.
Part of the core response team during Apple’s limited app tracking launch, redesigning Facebook’s ad systems to operate with significantly reduced signal—preserving performance for advertisers at massive scale.
Specialized in large-scale ads infrastructure to drive measurable ROI.

EngineeringArtificial Intelligence (AI)

Stanford university

Research Intern

Oct 2016 – Jul 2017 · 9 mos

Founding engineer for a project aimed at detecting cancer from blood cells.
Built an AI system for cancer detection without prior biology background, leveraging strong fundamentals in machine learning and artificial intelligence.
Applied deep learning techniques to medical imaging and data science challenges, pushing the frontier of non-invasive diagnostics.

Artificial Intelligence (AI)Computer Vision

Target

Lead Data Engineer

Jun 2016 – Oct 2017 · 1 yr 4 mos · Sunnyvale, California

Led big data engineering projects powering recommendation systems, price optimization, and customer elasticity modeling.
Designed and implemented real-time data pipelines and architectures to deliver hyper-personalized recommendations.
Managed large-volume datasets across multiple distributed systems to support Target’s personalization and promotional strategies.