Pre-screened and vetted.
Staff Frontend Engineer specializing in enterprise SaaS, analytics, and AI-powered products
“Frontend tech lead at HubSpot who shipped an LLM-powered insights dashboard that analyzed complex customer interaction histories and surfaced sentiment, challenges, and next-best actions for sales users. Stands out for having taken an AI feature beyond prototype into beta and full production, with strong emphasis on testing, maintainability, and practical production tradeoffs.”
Senior Software Engineer specializing in Unity game development, multiplayer networking, and VR
“Unity/C# gameplay engineer from Roku who led and shipped a cross-platform real-time multiplayer system spanning Meta Quest VR and iOS/Android, including AI/LLM-driven NPC behavior. Reported strong post-launch outcomes (+40% VR retention, +25% engagement) with stable networking (server-authoritative, delta compression/prediction) and robust debugging/observability via logging and replay tools.”
Executive product leader specializing in B2B SaaS growth and portfolio integration
“Current VP of Product / Chief Product Officer who spent the last two years helping shape fundraising and exit strategy efforts at their company. They bring rare product-led storytelling experience across debt financing, pre-IPO roadshow preparation, and acquisition discussions with private equity and investors, paired with a clear interest in building something from scratch.”
Entry-level AI/ML Software Engineer specializing in generative AI and computer vision
“Built and owned a production RAG coding assistant at Magna International used by 200 engineers, with hands-on work across React/TypeScript, retrieval infrastructure, and Postgres observability. Also brings an unusual blend of product UX thinking from AR game onboarding work, showing strength in both technical systems reliability and user activation.”
Junior Software Engineer specializing in full-stack and machine learning
“CMU IoT coursework project builder who implemented an end-to-end TinyML gesture recognition system on a Particle Photon + ADXL345, streaming data via MQTT/Node-RED to a real-time Node.js frontend and deploying a quantized logistic regression model on-device. Also explored multi-drone coordination, implementing leader-follower offset control and a pivot/arc turning strategy to avoid collisions, and brings practical Docker/Kubernetes plus CI/CD workflow experience from internships.”
Executive Mobile Software Engineer & Founder specializing in iOS, AI developer tools, and telecom
Junior Technical Product Specialist specializing in AR/VR and AI wearables
Mid-level QA Analyst/Test Engineer specializing in VR and consumer device testing
Senior QA Automation Engineer specializing in web, mobile, and API testing
Executive technology leader specializing in SaaS, cybersecurity, and healthcare IT
Senior QA Engineer specializing in mobile, streaming, and XR platforms
Senior QA Engineer specializing in mobile, web, hardware/firmware, and Android Auto
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Senior Software Engineer specializing in Unity/C# and AI-driven gameplay systems
Technology Executive specializing in AI-native engineering and cybersecurity governance
Executive Digital & Engineering Leader specializing in D2C omnichannel and AI transformations
Senior QA Automation Engineer specializing in web, mobile, and API testing
Director of Product specializing in AI-powered data platforms for connected vehicles and MLOps
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Mid-level Full-Stack Software Engineer specializing in AWS microservices and web platforms
Senior Engineering Manager specializing in software quality, automation, and web/mobile platforms
“Engineering leader at Bayer Crop Science leading a Core Platform team responsible for widely used open-source TypeScript/React and mobile SDKs (npm/GitHub) embedded across 10M+ monthly active devices. Known for shipping high-performance, backward-compatible developer frameworks with rigorous release discipline (bi-weekly releases, 99.99% uptime, long streaks of zero breaking changes) and major DX wins (onboarding cut to minutes, support tickets down 82%).”