Product Manager – Delivery Manager

About the Role

• We are looking for a seasoned Product Manager who can act as a Delivery Manager for AI driven and enterprise-grade software solutions
• This is a high-impact role focused on project delivery, cross-functional coordination, and innovation enablement particularly in the Artificial Intelligence, Machine Learning, and Automation domains
• You will work closely with Engineering, Data Science, Product, and Business stakeholders to turn product ideas into reality, ensure alignment with goals, and drive on time, high-quality delivery

Key Responsibilities

• Product Ownership & Delivery Own the end-to-end delivery lifecycle of AI and software development projects from discovery to release
• Break down product requirements into Epics, Stories, and Sub-tasks using tools like Jira & Confluence
• Drive delivery pipelines in collaboration with Engineering, QA, and Design teams Ensure alignment with OKRs, stakeholder expectations, and timelines
• AI & Technology Collaboration Work with AI/ML engineers to translate models and algorithms into real-world applications Coordinate delivery of LLM, RAG, NLP, and analytics-based solutions
• Understand architecture, APIs, model deployment, and cloud infrastructure (nice to have) Agile Project Management
• Act as the Scrum Master (or work closely with one) to facilitate sprint planning, retrospectives, and daily stand-ups
• Own sprint velocity tracking, backlog grooming, and Jira dashboards
• Mitigate project risks and remove blockers for the team
• Stakeholder Communication & Reporting
• Serve as the single point of contact for delivery status, risk updates, and milestone communication
• Interface with business, sales, and leadership to provide clear, actionable progress reports

Required Qualifications

• 4-7 years of experience in Product Management, Project Delivery, or Tech Program Management
• Experience working on AI/ML, Data Products, or Enterprise SaaS
• Strong understanding of Agile / Scrum methodologies and tools (Jira, Confluence, Gantt charts, roadmapping)
• Technical fluency: Must be able to collaborate with AI Engineers, Backend
• Developers, and DevOps teams
• Excellent communication and stakeholder management skills
• Proven ability to deliver high-quality products on time in fast-paced environments

Preferred Qualifications
Exposure to AI concepts: LLMs, NLP, RAG, ML pipelines, Prompt Engineering
Familiarity with tools like Power BI, PostgreSQL, MongoDB, or FastAPI
Knowledge of product lifecycle in Agile and Kanban environments
Experience working with cross-functional tech teams