Pre-screened and vetted.
Executive engineering leader specializing in AI, platforms, and streaming media
“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.”
Executive Digital Transformation & AI Modernization Leader for Enterprise and Regulated Sectors
Senior Mobile Software Engineer and Team Lead specializing in Shopify e-commerce
Mid-level Data Engineer specializing in AWS ETL and data warehousing
Executive commercial leader specializing in SaaS, AI, media, and e-commerce growth
Senior Full-Stack Engineer specializing in Python, data engineering, and cloud platforms
Executive Technology Leader specializing in AI/ML, data platforms, and digital transformation
Executive Engineering Leader specializing in digital transformation and cloud-native platforms
Engineering Manager and Staff Software Engineer specializing in ML platforms and FinTech risk
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Executive Digital & Engineering Leader specializing in D2C omnichannel and AI transformations
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Senior Talent Acquisition Partner specializing in SaaS, Cloud, and GTM hiring
Intern Full-Stack Software Engineer specializing in scalable web platforms
Mid-level data and product professional specializing in AI, analytics, and growth
Executive Technology Leader (CTO) specializing in digital products, cloud platforms, and AI/ML
“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.”
Mid-Level Full-Stack Software Engineer specializing in Java/Spring, React, and AWS
“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.”
Executive Product & Technology Leader specializing in consumer digital platforms and media
“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.”
Director-level venture and program leader specializing in entrepreneurship, investing, and growth
“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.”
Executive Technology Leader specializing in SaaS platforms, data ecosystems, and product engineering
“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.”
Executive SaaS & AdTech CEO specializing in AI attribution and mobile growth
“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.”
Executive CTO specializing in AI-powered transformation for enterprise SaaS
“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.”
Executive IT Leader specializing in global SaaS, cloud transformation, and M&A integration
“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).”
Intern Software Engineer specializing in data systems and machine learning
“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.”