Technical Product Owner 2
New
J
JobgetherCloud and platform
Based in IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years
- Required Skills
- Product ManagementJiraAgile methodologiesData analytics
Requirements
- 2+ years of experience leading platform or engineering teams through successful product delivery in agile environments.
- Experience using AI-powered tools to improve productivity, documentation, reporting, backlog management, and stakeholder communication.
- Ability to evaluate and adopt emerging AI technologies and automation opportunities that improve business outcomes.
- Experience using data, analytics, and performance metrics to support prioritization and product decisions.
- Proven ability to measure, analyze, and report software engineering KPIs.
- Experience working with global and distributed engineering teams, especially across India, North America, and/or Europe.
- Strong understanding of agile methodologies and product ownership practices.
- Excellent written and verbal communication skills, with the ability to collaborate across technical and business teams.
- Experience working with tools such as Jira and Aha! is preferred.
- Familiarity with AI productivity and collaboration platforms such as Microsoft Copilot, Cursor, or similar solutions.
- Experience training engineering teams on software development lifecycle practices is a plus.
- Certifications such as Certified Scrum Professional - Product Owner or Certified Scrum Master are desirable.
Responsibilities
- Own and manage product backlogs for one or more engineering teams, translating strategic goals into clear epics, user stories, priorities, and acceptance criteria.
- Contribute to enterprise roadmap planning by collaborating with product leaders, engineering teams, security stakeholders, and cross-functional partners.
- Apply agile methodologies and act as a servant leader, supporting teams through ceremonies, workshops, continuous improvement initiatives, and effective delivery practices.
- Use AI-powered analytics and productivity tools to improve backlog management, documentation, reporting, forecasting, and decision-making processes.
- Analyze engineering metrics, delivery trends, risks, and dependencies to support prioritization and operational improvements.
- Partner with technical teams to identify automation opportunities, optimize workflows, and improve engineering efficiency.
- Communicate product insights, recommendations, and progress updates effectively to technical and non-technical stakeholders.
- Champion the adoption of modern product management practices, collaboration tools, and responsible AI usage within distributed teams.
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