Product Manager (Remote)

BigStep Technologies


Date: 15 hours ago
City: Remote, Remote
Contract type: Full time
Remote
About The Role

BigStep is seeking an experienced Product Manager having 3 to 7 years of experience to lead the development and execution of a cutting-edge data extraction AI/ML/Data-driven 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: 2 PM – 11 PM IST (to ensure a 4-hour overlap with US timezone)

Key Responsibilities

  • 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.
  • Oversee API integrations between proprietary 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.


Qualifications & Experience

  • 3+ years of product management experience, preferably in 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 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.

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