Top Tech Jobs & Startup Jobs

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.

Lead a team and portfolio building full-stack, cloud-based AML reporting solutions using distributed microservices. Design, mentor, collaborate with product managers, and deliver scalable, secure systems using modern languages, containers, orchestration, databases, and cloud services to meet regulatory requirements.

Lead analytics for enterprise marketing and messaging: build data solutions and self-service tools, mine varied data sources, develop dashboards and BI insights, ensure data quality/lineage and governance, collaborate with tech teams on security and access, and monitor data quality.

Lead a team building distributed microservices and full-stack systems for Capital One Shopping. Drive cloud-based solutions, mentor engineers, evaluate and write code, collaborate with product managers, and adopt emerging technologies to meet regulatory and customer needs.

Lead and mentor engineering teams to build full-stack, cloud-native microservices and products. Collaborate with product managers, design scalable solutions using TypeScript/Node.js/Python and cloud/container technologies, and drive architectural consistency while occasionally coding and evaluating implementations.

Lead strategy, product, marketing, and credit-risk analytics for premium card products. Develop pricing and product strategies, build risk models, guide go-to-market, manage projects, and mentor 1–2 analysts while partnering across IT, sales, operations, and finance.

Design, build, deploy, and maintain production ML systems and data pipelines at scale. Lead cross-functional teams to implement ML architectures, ensure model performance and governance, automate CI/CD for models, and leverage cloud platforms and ML frameworks to deliver reliable, explainable solutions.

Lead analytical efforts to inform product, pricing, marketing, and credit risk strategies. Build and test models, perform SQL-based analysis, develop recommendations, drive implementation with cross-functional partners, and monitor results to improve profitability and customer experience.

Lead horizontal operations for Enterprise Learning by managing budget, vendor, and risk processes. Drive cross-functional project delivery, forecasting, reporting (MBRs), and stakeholder communication. Create process artifacts, socialization plans, and act as strategic consultant to optimize operations and support L&D leadership decision-making.

Design, develop, test, implement, and support cloud-based data solutions and pipelines. Collaborate across Agile teams on distributed systems, microservices, ML integration, streaming, NoSQL/RDBMS, and data warehousing (Redshift/Snowflake). Mentor engineers, perform unit tests and code reviews, and optimize performance.