Vetted Team Building Professionals

Pre-screened and vetted.

DM

Principal Data Engineer specializing in cloud-native AI and data platforms

Remote, USA20y exp
TetraScienceUniversity of Illinois Urbana-Champaign
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MY

Executive AI product leader specializing in healthcare and enterprise transformation

San Francisco, CA16y exp
Real ChemistryClarkson University
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KP

Executive Engineering Leader specializing in Physical AI, Robotics, and HW/SW/AI integration

26y exp
FreelanceUniversity of Minnesota
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SL

Executive Asset Management & Operating Partner specializing in energy and infrastructure

San Francisco, CA23y exp
Generate CapitalUC Berkeley
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LG

Executive Biotech R&D Leader specializing in therapeutic antibodies and ADCs

Cheyney, PA33y exp
NavrogenUniversity of Catania
Team buildingAntibody discoveryTherapeutic antibody developmentMonoclonal antibody developmentAntibody-drug conjugates (ADCs)Next-generation biologics+53
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JW

Executive Marketing Leader specializing in growth acceleration and digital transformation

Rumson, NJ22y exp
RakutenUniversity of Pittsburgh
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JT

Executive Managing Director/CEO specializing in private equity, M&A, and AI analytics

Chicago, IL29y exp
JBT VenturesNorthwestern University (Kellogg School of Management)
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DB

Executive product delivery leader specializing in cloud and financial platforms

Colorado, CO21y exp
Wells FargoUniversity of North Texas
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BC

Executive product leader specializing in consumer platforms, FinTech, retail, and SaaS

Alpharetta, GA19y exp
PDI TechnologiesCarnegie Mellon University
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JC

Executive GTM & Customer Success leader specializing in AI, robotics, and enterprise SaaS

San Francisco Bay Area, CA23y exp
RIOSIvey Business School
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IL

Director-level Sales Leader specializing in cloud, AI/ML, and Enterprise SaaS

Arlington, VA10y exp
AmazonGeorge Mason University
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TP

Executive technology leader specializing in AI, cloud, and venture-backed innovation

Washington, DC22y exp
OSPARNANJIT
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JP

James Prolizo

Screened ReferencesStrong rec.

Executive Technology Leader specializing in digital, AI, cloud, and cybersecurity transformation

Atlanta, GA9y exp
SovosMercer University

CIO-level technology leader (most recently at Sovos) who owned the full tech roadmap across product, infrastructure, and corporate IT, scaling engineering across 14 countries with an architectural review board and standardized security/observability. Hands-on in high-severity incidents (ransomware) while managing executive/client communications, and drove a reported 40% product-velocity lift by adopting AI code assistants and agentic AI (Devin) alongside Kubernetes + Bottlerocket for secure scalability.

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CM

Chris Michaelson

Screened ReferencesStrong rec.

Executive engineering leader specializing in cloud platforms, DevOps, and enterprise modernization

Tampa, FL17y exp
PwCOregon Institute of Technology

Senior engineering leader with experience across cybersecurity, retail commerce, consulting, and media platforms, combining large-scale org leadership with hands-on architecture depth. Notable for driving measurable cloud modernization outcomes—multi-million-dollar cost savings, major latency and MTTR reductions, and compliance-heavy transformations—while also leading AI/NLP and consumer product simplification initiatives.

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MS

Matt Shade

Screened ReferencesStrong rec.

Director-level AI engineering leader specializing in media platforms and newsroom workflows

New York, NY19y exp
NBCUniversalMount Ida College

Product-minded frontend/UX leader with notable experience at CNBC, where they owned premium subscription and engagement flows from problem definition through production and post-launch iteration. They stand out for combining high-polish React implementation, Figma-driven systems thinking, and AI-assisted prototyping to quickly ship and refine conversion-focused experiences.

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PH

Peter Hinchliffe

Screened ReferencesModerate rec.

Executive medical device leader specializing in regulatory strategy and value creation

Goshen, NY31y exp
Princeton University

Seasoned healthcare entrepreneur with 30+ years spanning large companies, startups, and self-founded ventures, now building a vascular implant device company around owned IP. Brings 20 years of cardiovascular focus, experience raising capital, and a pragmatic commercialization strategy centered on strategic partnerships, prototype development, and preclinical validation for a large reimbursed unmet-need market.

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TP

Timothy Potvin

Screened ReferencesStrong rec.

Executive Customer Success leader specializing in Enterprise SaaS, fraud prevention, and FinTech

Austin, TX15y exp
IPQualityScore

Customer success and growth leader with deep PLG-adjacent experience in cybersecurity/fraud platforms. Built post-sales and professional services functions from scratch, scaled engagement across thousands of customers, cut churn to 1.77%, and materially expanded major enterprise accounts including Netflix, eBay, Intuit, Best Buy, Target, and TripAdvisor.

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DJ

Dimple Joseph

Screened

Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization

Redwood Shores, CA25y exp
OracleThe University of Texas at Arlington

Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.

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Daniel Benyamin - Executive AI and product leader specializing in media, advertising, and data platforms in Los Angeles, CA

Executive AI and product leader specializing in media, advertising, and data platforms

Los Angeles, CA28y exp
Cantina LabsUCLA

Serial entrepreneur in marketing and advertising who has founded four companies, most of them venture-backed. Has raised pre-seed and other venture funding multiple times, mentored at Techstars, and brings a strong investor network plus firsthand experience across the VC, accelerator, and launchpad ecosystem.

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Lissa Miller - Director-level Product Leader specializing in 0-to-1 B2B SaaS and AI platforms in Danville, CA

Lissa Miller

Screened

Director-level Product Leader specializing in 0-to-1 B2B SaaS and AI platforms

Danville, CA20y exp
Xolv TechnologyBoston College

Product leader with experience spanning Apple and healthcare AI, including leading the global Apple Relay partner portal now used across 80+ countries and building LLM-powered clinician documentation tools at Xolv. Stands out for combining large-scale platform execution, measurable business impact, and a human-centered approach to AI in regulated environments.

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MS

Executive Technology Leader (VP/CTO) specializing in AI/ML, digital transformation, and FinTech

Detroit, MI20y exp
Credit AcceptanceUniversity of Illinois Chicago

Product-focused operator with ~20 years experience helping both large companies and newer market entrants launch successful products, with a strong emphasis on disciplined product-market fit in emerging markets. Has personal investing exposure as an LP in two private funds and is researching seed-stage angel investing, and is motivated to found a consumer/software venture built with lean execution and clear defensibility.

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Yiteng Xu - Director of Lab Automation specializing in high-throughput assays and NGS workflows in South San Francisco, CA

Yiteng Xu

Screened

Director of Lab Automation specializing in high-throughput assays and NGS workflows

South San Francisco, CA9y exp
Arsenal BiosciencesUC Berkeley

Joined Arsenal into a leadership vacuum (manager fired, only engineer left) and still launched a screening project in 4 weeks while defining team direction. Built an 11-person automation org spanning assay development, engineering, and operations, implementing OKRs/retrospectives/dashboards and navigating major pivots (including a partner pullout) while maintaining delivery and retention.

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UB

Principal Data Scientist specializing in machine learning and generative AI

New York, NY12y exp
AtlassianRutgers University

Atlassian ML/AI engineer who has shipped end-to-end production systems combining classical ML, streaming infrastructure, and LLM-based personalization to improve onboarding and free-to-paid conversion. Particularly strong in turning research-style RAG and reranking ideas into low-latency, reliable product systems with robust evaluation, safety guardrails, and reusable platform services for other teams.

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