Top Tech Jobs & Startup Jobs in Boston, MA

Lead product management for forecasting platforms used by Finance and CFO teams. Partner with stakeholders across Finance, Data, Risk and Technology to define requirements, prioritize features, drive delivery, establish success metrics, and iterate on solutions to improve forecasting, regulatory reporting, and analytical workflows.

Lead the Finance Data product team to build data capabilities across the finance data lifecycle. Define product strategy, prioritize and deliver data solutions for financial reporting, regulatory needs, and business stakeholders. Collaborate cross-functionally, apply human-centered and technology-driven product practices, and drive transformational leadership to solve complex problems and deliver measurable business outcomes.

Lead finance product strategy and execution for consumer-facing digital products. Own product vision, prioritize roadmaps, drive cross-functional delivery, leverage technology, solve complex problems, and deliver measurable business outcomes while mentoring teams and aligning stakeholders.

Lead a team to design, build, and deploy cloud-based, AI-enhanced risk management solutions. Drive full-stack and microservices architecture, mentor engineers, collaborate with product managers, and leverage AWS, container orchestration, databases, and modern programming languages to deliver scalable systems meeting regulatory needs.

Lead ML Engineer for Finance Tech to design, build, deploy, and maintain AI/ML systems (including LLMs and RAG). Partner cross-functionally to create production data pipelines, model evaluation, governance, observability, and responsible AI practices while contributing technical vision and scaling AI infrastructure.

Lead a team building cloud-based, AI-enhanced risk management solutions using microservices and full-stack technologies. Collaborate with product managers, mentor engineers, and deliver scalable systems leveraging Node.js, Java, Spring Boot, TypeScript, Angular/Vue, Kafka, containers, and AWS services.

Lead full‑stack engineering portfolio integrating risk systems with an enterprise GenAI layer. Architect and build cloud-based microservices and full-stack solutions, mentor engineers, collaborate with product managers, and deploy containerized services using cloud and orchestration tools to meet regulatory and frontline risk management needs.

Lead a team building cloud-based, AI-enabled risk management solutions; own full-stack and microservices architecture, mentor engineers, collaborate with product managers, and deploy scalable systems using cloud, container orchestration, databases, and modern programming languages.

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

The role involves leading AI research projects, building AI foundation models, collaborating with engineering teams, and mentoring applied scientists to enhance customer interactions through AI.