Vetted E-commerce Professionals

Pre-screened and vetted.

CB

Colin Bielen

Screened

Executive engineering leader specializing in AI, platforms, and streaming media

20y exp
Proximity WorksPepperdine University

Engineering leader with experience at CBS Interactive and Paramount who scaled a web engineering team from 4 to 30+ (adding QA/PMO/mobile) while instituting strong agile and code-quality processes. Led a major architectural shift to a generic content API that decoupled web/mobile experiences from niche publishing systems, reportedly cutting developer onboarding time by ~50% and enabling some day-one production commits.

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VS

Executive Digital Transformation & AI Modernization Leader for Enterprise and Regulated Sectors

Washington, DC15y exp
Empower AIUniversity of Tennessee, Knoxville
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Youssef Chahdoura - Senior Mobile Software Engineer and Team Lead specializing in Shopify e-commerce in Ottawa, Canada

Senior Mobile Software Engineer and Team Lead specializing in Shopify e-commerce

Ottawa, Canada9y exp
ShopifyUniversity of Ottawa
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VS

Mid-level Data Engineer specializing in AWS ETL and data warehousing

Chennai, India5y exp
AmazonUniversity of South Florida
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MA

Executive commercial leader specializing in SaaS, AI, media, and e-commerce growth

New York, NY10y exp
LTV SaaS Growth Fund 7Mount Saint Mary College
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BS

Senior Full-Stack Engineer specializing in Python, data engineering, and cloud platforms

Chula Vista, CA10y exp
DropboxBowling Green State University
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RM

Executive Technology Leader specializing in AI/ML, data platforms, and digital transformation

Irvine, CA19y exp
Sonrava HealthIndian Institute of Technology
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NM

Executive Engineering Leader specializing in digital transformation and cloud-native platforms

Boston, MA9y exp
ChargelySouthern Polytechnic State University
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PN

Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk

San Francisco, CA17y exp
ZendeskSan José State University
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YL

Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation

Miami, US14y exp
BilliMDUniversity of Cambridge
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MM

Executive Digital & Engineering Leader specializing in D2C omnichannel and AI transformations

Beverly Hills, CA18y exp
Alo YogaUniversity of Miami
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KG

Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications

11y exp
StealthStanford University
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JD

Senior Talent Acquisition Partner specializing in SaaS, Cloud, and GTM hiring

Atlanta, GA12y exp
WorkdayUniversity of Louisiana at Monroe
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YL

Intern Full-Stack Software Engineer specializing in scalable web platforms

Pittsburgh, PA1y exp
Innovation AICarnegie Mellon University
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RC

Mid-level data and product professional specializing in AI, analytics, and growth

Milan, Italy5y exp
LenovoBocconi University
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AT

Executive Technology Leader (CTO) specializing in digital products, cloud platforms, and AI/ML

New York, NY26y exp
MendGeorgia Tech

IoT/connected-device and SaaS product builder with deep connected health/telehealth experience, including patient care delivery and remote patient monitoring. In their current org, they expanded a nutrition product business by prototyping and piloting a digital pre/post-surgical coaching care-delivery service with real providers/clinics/patients, then building an MVP and taking it to market.

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PC

Prateek C

Screened

Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS

San Francisco, CA6y exp
ShopifyClemson University

Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.

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Rina Thakker - Executive Product & Technology Leader specializing in consumer digital platforms and media in Darien, CT

Rina Thakker

Screened

Executive Product & Technology Leader specializing in consumer digital platforms and media

Darien, CT21y exp
Grand Slam TrackUniversity of Connecticut

CTO at Grand Slam Track (track & field league) for ~2 years, owning a broad technology portfolio across digital marketing tech, IT, broadcast technology, and athlete/data management systems. Entrepreneurial operator with repeated experience assessing product-market fit using user sentiment, demand data, demographic targeting, and A/B testing; familiar with VC mechanics and looking to deepen hands-on fundraising experience via a large network and board connections.

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SS

sandeep shah

Screened

Director-level venture and program leader specializing in entrepreneurship, investing, and growth

Austin, TX14y exp
The University of Texas at AustinUC Berkeley

Early-stage venture and talent operator with experience sourcing founders and leadership talent, including helping source Truemoringa into a pre-seed investment. Brings a relationship-first style, broad venture-network sourcing, and structured diligence processes spanning product, IP, legal, operations, and cap table review.

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Sumaya Shakir - Executive Technology Leader specializing in SaaS platforms, data ecosystems, and product engineering

Sumaya Shakir

Screened

Executive Technology Leader specializing in SaaS platforms, data ecosystems, and product engineering

24y exp
DogtopiaSanta Clara University

Technology leader who drove end-to-end modernization at Dogtopia—building a proprietary SaaS POS/CRM and operations platform plus an AI-powered customer app—using OKR-driven roadmaps and Agile/DevOps delivery. Previously at GE, led a cloud-native AWS data fabric re-architecture with strong security/governance (RBAC, classification, encryption, lineage, virtualization), cutting processing time 60%+ and enabling AI workloads tied to $400M in business value.

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Inman Breaux - Executive SaaS & AdTech CEO specializing in AI attribution and mobile growth in San Francisco, CA

Inman Breaux

Screened

Executive SaaS & AdTech CEO specializing in AI attribution and mobile growth

San Francisco, CA17y exp
HyrosUSC

Mobile-tech entrepreneur building AppQ (mobile.appq.ai), an agentic mobile SDK that optimizes mobile UX in real time to improve Day 1/Day 7 retention by adjusting levers like ad frequency, difficulty, messaging, and artwork. Previously co-founded an SDK-led mobile ad network (invented push notification ads), scaled to 300K+ SDK integrations, and grew revenue from $7M in 10 months to $50M the following year before exiting in 2020.

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Paiman Nodoushani - Executive CTO specializing in AI-powered transformation for enterprise SaaS in New York, NY

Executive CTO specializing in AI-powered transformation for enterprise SaaS

New York, NY35y exp
TRG ScreenUniversity of Connecticut

Former Cisco professional who successfully pitched and got funding for adding virtualization to access routers to enable third-party application development, framing the opportunity with clear revenue upside and risk management. Highly interested in AI—especially agent-based development—and believes it lowers the barrier to building and shipping new products with small, high-caliber teams.

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Tom Dinwiddie - Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration

Tom Dinwiddie

Screened

Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration

20y exp
AutoZoneUC Irvine

Technology executive/CTO-type leader with experience at ALLDATA defining and operationalizing an executive-prioritized roadmap, scaling distributed engineering teams (including expansion in Mexico and India), and modernizing products onto a containerized Google Cloud architecture. Highlights include 99.96% reliability, 38% maintenance cost reduction, and strong security/compliance posture (CyberArk, ISO27001, SOC2, SOX).

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YJ

Yili Jin

Screened

Intern Software Engineer specializing in data systems and machine learning

Remote, USA1y exp
TikTokPurdue University

Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.

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