Pre-screened and vetted.
Mid-level Data Center Operations Technician specializing in AWS cloud infrastructure
Mid-level Solutions Engineer specializing in cloud data, AI, and healthcare analytics
Senior Program & Project Manager specializing in operations, supply chain, and enterprise technology
Mid-level Solutions Engineer specializing in full-stack systems and FinTech/media platforms
Senior Data Analyst specializing in healthcare and financial analytics
Mid-level CRM Analyst specializing in Microsoft Dynamics 365 and Power Platform
Senior AI/ML Engineer specializing in LLM systems and conversational AI
Junior Full-Stack ML Engineer specializing in healthcare and AI systems
Senior Operations & Solutions Specialist in HR operations and financial services
Director-level Product and Partnerships Leader specializing in media, sports, and live events
Senior Customer Success Manager specializing in Enterprise SaaS and CRM
Senior Director of Software Engineering specializing in cloud-native microservices for streaming platforms
“Engineering leader who drove TiVo IPTV’s client-facing API modernization from a monolith to AWS-based microservices (API Gateway, Lambda, EKS, Kafka, DynamoDB/RDS), including phased/blue-green production routing of millions of calls. Emphasizes org scaling through skill-based hiring, mentorship, and a you-build-you-run ownership culture, while balancing technical leadership with executive stakeholder communication and budgeting.”
Senior Program Manager specializing in SAP CRM implementations and process transformation
“Post-sales SAP CRM implementation professional with experience at IBM and Malam Team, owning full lifecycle delivery from requirements and process design through configuration, testing, and end-user training. Notably built an SAP UI5 service center dashboard that cut SLA-miss tickets from 20% to 5% and regularly drove cross-functional alignment to unblock complex technical issues.”
Executive Technology Leader (CTO) specializing in SaaS, AI platforms, and M&A integration
“Entrepreneurial builder who created a SaaS system for insurance sales and developed in-house sales/marketing platforms, prioritizing a robust backend that drove over $500k in immediate sales before expanding features. Emphasizes lean, high-impact execution with strong focus on optimization, barrier management, and contingency planning.”
Junior AI/ML Engineer specializing in production LLM systems and RAG
“LLM/document AI engineer who owned a production-grade contract extraction pipeline at CORAMA.AI, ingesting PDFs and dynamic JavaScript sites from 1,000+ government sources. Built a hybrid deterministic+LLM system with two-phase prompting, Pydantic guardrails, confidence scoring, and human-in-the-loop review—cutting error rates from ~35% to <5% and processing 50k+ documents at ~95% accuracy. Also built clinician-in-the-loop orchestration in research, reducing manual labeling time from 3–4 hours to ~50 minutes.”
Executive technology and operations leader specializing in connected vehicle SaaS and IoT
“Candidate indicated they do not have a business plan or startup, are not familiar with the venture capital/accelerator landscape, and explicitly requested to withdraw their application because the position does not seem like the right fit.”
Entry-level Software Engineer specializing in full-stack and machine learning applications
“Built production Python data integrations and dashboard automation for incident analytics, with a strong focus on data quality, observability, and reliability for leadership-facing reporting. Also translated an ambiguous manual creator evaluation process at startup Spring into an automated predictive scoring feature, showing a blend of backend data engineering, test automation, and cross-functional product thinking.”
Junior Software Engineer specializing in data engineering for satellite telemetry
“Data/pipeline engineer with experience in space and scientific data systems, including JPL-related satellite transmission workflows and customer deployments involving NOAA/Argo standards. Stands out for building autonomous production pipelines, debugging subtle logic failures in data integrations, and improving processing efficiency while reducing manual operational work.”