Pre-screened and vetted.
Executive Product Management leader specializing in B2B SaaS, cloud, AI and FinTech
“Operations/product leader with experience integrating product organizations after acquisitions, standardizing Agile/PDLC and RACI to remove ambiguity and enable on-time launches. Hands-on in implementing Jira-based execution frameworks and mentoring exec teams on KPI/OKR operating cadence, including adopting a Product/Engineering/UX triad model to reduce rework and improve customer alignment.”
Mid-level Machine Learning Engineer specializing in GPU-accelerated LLMs and MLOps
“Built and deployed a production LLM-powered decision-support system for supply-chain planners that explains demand forecast changes using grounded retrieval from sales, promotion, inventory, and supplier data. Implemented strict anti-hallucination guardrails and latency optimizations, deployed as a real-time AWS API with monitoring, and reported ~15% forecast accuracy improvement and ~12% supply-chain risk reduction. Experienced orchestrating data/ML/LLM workflows with Airflow, LangChain/LangGraph-style patterns, and AWS Step Functions while partnering closely with non-technical business users via demos and example-based requirements.”
Executive IT & PMO leader specializing in digital commerce and enterprise transformation
“IT leader with hands-on M&A integration experience (including day-one readiness) across notable brands (e.g., Billabong, Marucci Sports) and product-focused organizations (Oakley). Brings broad IT domain expertise (AI, business systems, digital sales technologies) and has worked with multiple startups; interested in joining an existing startup to help it scale rather than founding a new company.”
Executive AI and engineering leader specializing in telecom analytics and enterprise architecture
“Candidate founded a non-profit and developed unconventional funding mechanisms for it, including a book whose proceeds support the organization and a patented AI stack designed for licensing royalties. They also bring early startup experience and acquisition due-diligence exposure, and are specifically interested in contributing their technical and venture incubation background within an existing entrepreneurial company rather than founding a new one.”
Director-level Enterprise Architecture leader specializing in AI and platform transformation
“Entrepreneurial candidate with deep technology expertise who has already acted as a founder/principal across a real estate venture and early-stage tech startups. Most notably, they raised approximately $1-2M for a real estate project and describe hands-on ownership from ideation and business case development through ROI validation and investor commitment.”
Mid-level Business Analyst specializing in healthcare and retail analytics
“Analytics professional with experience across retail and healthcare, including Kroger and CVS Health. They have built SQL and Python workflows to clean and operationalize messy data, and have owned patient adherence/retention analytics projects that informed targeted interventions and improved refill and retention reporting.”
Mid-level Full-Stack Java Developer specializing in Healthcare IT and FinTech
“Backend engineer with hands-on experience in both financial services and healthcare, including a Capital One credit application platform and an AI-assisted medical-records-to-EMR pipeline. Stands out for owning systems end-to-end, improving response times by 30%, operating services at 50K+ daily requests, and applying strong validation/observability practices in regulated environments.”
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
“Full-stack engineer focused on high-throughput document/financial data platforms, building Angular/React front ends and Spring Boot microservices with Python/Flask services for heavy processing. Experienced in designing non-blocking, asynchronous workflows (Celery/RabbitMQ) and deploying containerized systems to AWS ECS with auto-scaling and CloudWatch monitoring.”
Mid-level AI/ML Engineer specializing in computer vision, NLP, forecasting, and GenAI
Mid-level Full-Stack Developer specializing in cloud-native Java and modern web apps
Mid-level Full-Stack Java Developer specializing in microservices and cloud-native platforms
Mid-level Quality Engineer specializing in manufacturing quality and process improvement
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and risk/fraud analytics
Mid-level Salesforce Business Analyst specializing in CRM and real estate solutions
Mid-level Workday HRIS/HCM Consultant specializing in Workday implementations and integrations
Mid-level Software Scientist & SRE specializing in semiconductor production infrastructure
Mid-level Software Developer specializing in microservices and cloud-native systems
Mid-level Full-Stack Developer specializing in enterprise web apps across healthcare, banking, and energy
Mid-level Full-Stack Developer specializing in cloud-native microservices and web apps
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Senior Full-Stack Engineer specializing in Java, React, and cloud-native systems
Senior Full-Stack Java Developer specializing in Financial Services