Top Tech Jobs & Startup Jobs

Lead a team building full-stack, cloud-based microservices solutions; collaborate with product managers; mentor engineers; drive technology adoption and regulatory-facing projects using modern languages, containers, and cloud services.

Lead a team to deliver cloud-based full‑stack solutions and distributed microservices, collaborating with product managers, mentoring engineers, and using modern languages, databases, containers, and AWS services to meet regulatory and customer needs.

Lead FP&A and analytics for the PULSE Network, producing executive reporting, financial models and strategic analyses. Partner with stakeholders to evaluate customer portfolios, leverage data and technology, build financial frameworks, diagnose competitor performance, and communicate results to executive leadership while mentoring and managing other analysts.

Lead a team of data science and risk professionals to analyze high-volume transaction data, develop and deploy predictive fraud models and strategies, collaborate with internal and external stakeholders, and continuously improve data extraction and modeling processes to detect and block fraudulent transactions while minimizing false positives.

Lead backend engineer responsible for architecting and delivering large-scale distributed microservices for Capital One Travel. Lead projects and mentor developers, collaborate with product teams, design cloud-native solutions using Java/Scala and AWS, and promote shared platform patterns and best practices across stakeholder teams.

Lead end-to-end executive (VP+) search: design sourcing and market intelligence strategies, identify and cultivate passive talent, manage client and candidate experience, negotiate offers, onboard executives, partner with senior stakeholders and internal partners, mentor team members, and drive innovation in executive talent acquisition.

Lead design, execution and delivery of primary market research (brand health tracking, creative/media effectiveness, ad testing, custom B2C/B2B studies). Translate business needs into research objectives, manage third-party research partners, synthesize primary/secondary/syndicated data, partner on annual learning agendas, and present actionable insights to marketing leaders to influence brand, advertising, and talent strategies.

Design, develop, and deploy machine learning models for the Credit Line Increase Program. Partner with cross-functional teams to analyze large-scale numeric and textual data using Python, Spark, H2O, and AWS. Manage full model lifecycle including training, validation, implementation, monitoring, and translating technical results into business recommendations.