Lead customer research and product strategy for large financial projects, defining value, prioritizing work, directing web/app UI/UX, aligning stakeholders, and improving KPIs after release.
About this role
This development project manager works in teams building a robo-advisor and related financial services. Assignment may cover customer and account functions, trading and payments, mobile apps, new businesses such as MAP AI, or shared platform improvements.
The role turns business requirements into workable plans and specifications across development, security, QA and operations, then drives projects through release. It manages quality, cost, schedule, risks and post-release review while building agreement with PdM, QA and related functions. The named environment includes Java, Spring Boot, TypeScript, JavaScript, Next.js, AWS, Aurora MySQL, GitHub, Jira, Notion, Confluence, Figma and GitHub Actions.
Applicants need at least five years developing and operating a web application of a certain scale, experience defining requirements before specifications were settled, experience delivering a project through release while managing quality, cost and schedule, and experience assigning development members and ways of working to produce team results.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Lead new-business product development with a product manager, shaping MVPs, managing quality, cost and schedule through release, building the team, and guiding technical decisions.
Lead the development of AI agents using LLMs, focusing on architecture design and implementation to maximize client business value.
Lead high-difficulty AI projects, manage quality across multiple projects, and mentor junior data scientists.
Lead field application engineers deploying autonomous-driving and remote-operation systems, improving site processes and tools while handling complex tests, troubleshooting, and stakeholder coordination.
Lead AI and digital transformation strategy projects for major enterprise clients, including data-driven management, governance, dashboards, solution proposals, project delivery, account planning, negotiation and coordination with data scientists and AI engineers.