Top Tech Jobs & Startup Jobs

Provide high-level administrative support to 4–6 executives: manage complex calendars, coordinate travel and expense reports, arrange meetings and AV/catering, plan events, draft professional communications, perform general office tasks, and build cross-organizational relationships to ensure efficient team operations.

Own the end-to-end trade credit product lifecycle, balancing strategic vision and technical feasibility. Lead cross-functional teams through roadmapping and agile execution, translate data-driven insights into development requirements, and deliver customer-focused digital product solutions.

Lead a team and portfolio of full‑stack, cloud-based projects using microservices. Design and deliver scalable solutions with React/Java, containers, and AWS; mentor engineers; collaborate with product managers; drive tech experimentation and community participation to meet regulatory and customer needs.

Lead Data Engineer designs, builds, and supports cloud-based data solutions for risk management. Collaborates across Agile teams to implement distributed, real-time, and ML-enabled data platforms using cloud, big data, and database technologies, mentors engineers, and ensures code quality and performance.

Lead strategy for contextual and event-based offer decisioning for existing customers. Use data to define product direction, drive cross-functional alignment, translate analysis into consumer-facing digital solutions, and deliver outcomes using Capital Ones product framework.

Lead end-to-end product strategy and execution for Capital One Travel fintech products in partnership with Hopper. Prioritize roadmap, run rapid tests, synthesize customer research, define acceptance criteria and MVPs, and collaborate with design, engineering, data science, and partners to scale features and optimize customer experience and business value.

Lead product development for Capital One Trade Credit's B2B customer experience. Collaborate with engineers, designers, data scientists, and stakeholders to translate insights into features, break down epics into user stories, prioritize roadmaps, use data-driven hypotheses, and manage agile delivery to build MVPs that improve customer, partner, and operational agent experiences.

As a Senior Manager, Data Analysis, you will validate analytical tools, enhance technical skills, manage projects, and coach junior staff while collaborating cross-functionally.

Lead design, build, deploy, and support foundation model training and LLM inference systems, similarity search, guardrails, evaluation, and observability. Optimize production AI for scalability, cost, latency, and throughput. Collaborate cross-functionally, mentor engineers, and shape long-term foundational AI technical vision and roadmap.

Lead risk assessment and advisory for auto risk audits and regulatory exams. Advise business partners and senior leaders, analyze data to identify risks and trends, escalate material issues, drive remediation, and improve risk management practices through cross-functional collaboration with Compliance, Legal, Audit, and Technology.