Pre-screened and vetted.
Director of Innovation and product strategy specializing in CPG and retail
Principal Product Leader specializing in AI, SaaS, and platform strategy
Executive Startup Founder & Venture/Partnerships Leader in Cleantech and Enterprise SaaS
Director-level Engineering Manager specializing in full-stack consumer streaming experiences
Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems
Senior Full-Stack Software Engineer specializing in cloud and enterprise web platforms
Executive Operations & Program Leader specializing in scaled tech operations and cloud delivery
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Mid-level Full-Stack Developer specializing in cloud-native microservices
Senior Full-Stack Engineer specializing in FinTech and fraud/risk systems
Senior Backend Engineer specializing in GenAI, LLMs, and scalable data pipelines
“Backend/ML platform engineer from Snapsheet who owned production Python services and data pipelines for insurance claims, including an AI document classification/summarization FastAPI service on ECS/Fargate processing 1M+ documents/year. Strong in AWS infrastructure (Terraform, CI/CD, secrets/IAM, autoscaling), Glue/PySpark ETL with schema evolution controls, and legacy SAS-to-microservices modernization with safe, feature-flagged rollouts and measurable performance wins.”
Engineering Director specializing in backend & data platforms for enterprise SaaS and cybersecurity
“Backend/data engineering player-coach on a UEBA cloud security analytics platform who standardized MLOps and detection development for 180+ detections, cutting ship time from 6–7 weeks to ~3 weeks while reducing false positives. Proven at operating large-scale streaming + Spark systems (200K+ events/sec, 100+ TB/day), driving major reliability/cost improvements, and leading incident response and team execution through GA.”
Director-level Engineering Leader specializing in data platforms, cloud systems, and LLM products
“Engineering leader/player-coach with recent hands-on work delivering an agentic AI MVP on Amazon Bedrock (conversational UI + supervisor agent routing between internal knowledge and external sources). Previously drove large-scale data platform cost optimization at Twitter, saving ~$3M–$5M annually, and has owned production incidents end-to-end with a focus on analytics/monitoring improvements and team coaching.”
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Backend/ML infrastructure engineer with experience at Perplexity and Meta building production evaluation, monitoring, and retrieval systems for AI search, autonomous agents, and LLM-powered workflows. Particularly strong in turning messy manual quality-review processes into reusable Python/FastAPI automation with measurable impact, including major gains in search relevance, latency, and grounded answer quality.”
VP Software Engineering Manager specializing in full-stack platforms, data, and AI in FinTech
Senior Full-Stack Engineer specializing in real-time collaboration SaaS
Executive Engineering Leader specializing in data platforms, cloud modernization, and AI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Staff Software Engineer specializing in commerce, checkout, and payments platforms
Senior Machine Learning Engineer specializing in GenAI, NLP, and recommendation systems
Executive product leader specializing in healthcare, e-commerce, cloud, and advertising