BigStep is seeking an experienced Product Manager having 8+ years of experience to lead the development and execution of a cutting-edge data extraction fintech product. This role demands strong product leadership and prior experience collaborating with senior development teams to drive innovation and deliver high-impact solutions.
Shift Timings: 3:30 PM – 12:30 AM IST (to ensure a 4-hour overlap with US Central Timezone)
Develop and drive the product vision, roadmap, and execution plan.
Partner with senior management, engineers, data scientists, and investment professionals to align priorities and ensure seamless execution.
Lead and mentor a team of QAs, data scientists, and engineers by providing them with strategic direction, removing roadblocks, and enabling team members to excel in delivering high-impact solutions.
Oversee API integrations between proprietary fintech systems and external applications, ensuring robust and scalable solutions.
Lead the end-to-end product lifecycle, from discovery and ideation to release and performance measurement.
Manage and prioritize the backlog in JIRA, facilitating sprint planning, retrospectives, and continuous iteration.
Track and measure improvements in adoption, data quality, governance, and reporting to drive business value.
Oversee multiple project workstreams, maintaining timelines and providing status updates to stakeholders and senior management.
8+ years of product management experience, preferably in fintech or data-driven products.
Proven track record working with data science, AI, and machine learning teams.
Deep understanding of the product development lifecycle, design principles, and data analytics.
Strong analytical and decision-making skills, with the ability to debate with stakeholders using data-driven insights.
Hands-on experience with JIRA, Agile methodologies, sprint planning, and backlog management.
Familiarity with API development and integration, guiding teams toward scalable solutions.
Ability to thrive in a fast-paced financial environment, working closely with data scientists and engineers.
Excellent organizational, verbal, and written communication skills, with the ability to engage a diverse range of stakeholders.