Pre-screened and vetted.
Director of Supply Chain Transportation & ESG specializing in planning, procurement, and compliance
“Operations/business leader at Rent the Runway who led a cross-functional, Board-visible redesign and network-wide rollout of the company’s garment bag—a >$5M CapEx/OpEx initiative central to luxury customer experience. Known for aligning executives with conflicting priorities (cost vs CX), driving KPI-based operating rhythms, and delivering vendor/manufacturing wins that improved unit cost while upgrading product quality; previously led legal operations with strong confidentiality/privilege discipline.”
Director-level Data Engineering & MDM leader specializing in enterprise data platforms
“Former Xendit (YC-backed fintech) operator applying outcome-driven, scalable product-building experience to a new startup: a real-time, personalized real estate investment intelligence platform. Has begun prototyping, completed ROI analysis, and validated the space with US market research plus broker interviews in Chicago and Los Angeles, aiming to differentiate from Zillow/Redfin with goal-based ranked investment recommendations.”
Mid-level Data Engineer specializing in multi-cloud analytics platforms
“Data engineer with hands-on GCP platform experience spanning BigQuery, Cloud SQL, Dataflow, and Cloud Composer, including both production operations and cloud migration work. They led a migration from legacy SQL Server/Oracle systems to a cloud-native BigQuery architecture and cite measurable impact: processing reduced from hours to minutes, query latency improved 60%+, and ingestion time improved 40%.”
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms
“Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Mid-level Python Developer specializing in cloud data engineering and ETL/real-time pipelines
Executive Technology Leader specializing in scalable SaaS platforms and engineering org growth
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Junior Data Infrastructure Software Engineer specializing in analytics pipelines
Mid-level Data Engineer specializing in analytics, BI dashboards, and ETL pipelines
Mid-level Business Analyst specializing in financial analytics and digital transformation
Senior Software Engineer specializing in cloud-native, event-driven platforms and AI
Mid-level Data Analytics Engineer specializing in cloud data platforms and FinTech
Mid-level Backend/API Software Engineer specializing in identity and data observability SaaS
Staff Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Software Engineer specializing in payments, data platforms, and ML systems
Mid-level Backend/Full-Stack Software Engineer specializing in cloud-native microservices and APIs
Mid-level Business Data Analyst specializing in healthcare and financial analytics
Mid-level Python Full-Stack Developer specializing in FinTech and ML systems
Senior AI/ML Engineer specializing in Generative AI, NLP, and LLM systems
Staff-level Software Engineer specializing in AI, data platforms, and cloud infrastructure
Executive Technology Leader (CTO/CIO) specializing in cloud, AI, and enterprise transformation
Mid-Level Full-Stack Software Engineer specializing in web performance and cloud microservices