Lead AI Test Intelligence Platform Product Owner

2 weeks ago

Pune, Maharashtra, India beBeeProduct Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Summary:

We seek an experienced Product Owner to lead the vision, strategy, and execution of our AI-based Test Intelligence Platform. This platform aims to revolutionize software testing by leveraging AI/ML, data analytics, and automation to provide actionable insights, test generation, predictive testing, risk-based prioritization, and smart regression strategies.

Key Responsibilities:

  • Define and own the product roadmap, backlog, and feature prioritization based on customer needs, business goals, and AI capabilities.
  • Collaborate with cross-functional teams including AI/ML engineers, QA, DevOps, and UX to translate requirements into scalable product features.
  • Drive discovery, definition, and delivery of features such as test generation, test impact analysis, flaky test detection, root cause analytics, and automated risk scoring.
  • Conduct competitive benchmarking of test intelligence tools.
  • Partner with customers and internal stakeholders to gather feedback and refine user journeys.
  • Define and track required KPIs.

Requirements:

  • Proven experience as a Product Owner or Product Manager in software development, test automation, DevOps, or quality engineering domains.
  • Good understanding of AI/ML concepts, model lifecycle, and integration in software products.
  • Familiarity with test frameworks (PyTest, JUnit, Selenium), CI/CD pipelines (Jenkins, GitHub Actions), and telemetry tools (ELK, Prometheus, Grafana).
  • Experience with test analytics, coverage tracking, impact-based testing, and test optimization.
  • Strong analytical, communication, and stakeholder management skills.
  • Exposure to agile methodologies and tools (JIRA, Confluence).
  • Bonus: Experience working with or developing developer/tester tools.
  • Exposure to GenAI, LLMs, or NLP-driven test automation is highly desirable.

Additional Information:

  • Exposure to cloud platforms and microservices architecture is beneficial.

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