Product Associate

UnitedLayer; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A Managed Cloud Solutions Company in India is looking for an Associate Product Manager with hands-on experience in delivering Enterprise SaaS and Cloud-based solutions. This role involves supporting product vision, managing project delivery, and coordinating with technical teams and stakeholders. The ideal candidate should have 4–6 years of experience, a strong understanding of AI/ML products and cloud environments, and familiarity with Agile methodologies. Competitive work culture and opportunities for growth are provided.

Qualifications

• 4–6 years of experience in product delivery or project coordination.
• Good understanding of SaaS architecture including APIs and microservices.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Support the definition and execution of product vision and roadmap.
• Manage end-to-end delivery of product releases across cloud environments.
• Act as a liaison between technical teams and business stakeholders.

Skills

Product delivery in SaaS or Cloud environments

Experience with AI/ML features

Understanding of cloud platforms (AWS, Azure, GCP)

Agile/Scrum methodologies

Analytical and communication skills

Education

Bachelor’s degree in Computer Science, Engineering, or Technology Management

Tools

Jira

Confluence

Azure DevOps

Job description

We are a fast-growing, Managed Cloud and Software-as-a-Service company, offering Colocation, Private Cloud, Managed Services, and SaaS solutions for enterprises and SMEs. We are headquartered in San Francisco with offices and data centers across North America

Please consider below JD:

We are looking for a passionate Associate Product Manager with hands-on experience in delivering Enterprise SaaS
and Cloud-based solutions. The ideal candidate will have a strong understanding of AI/ML-driven products, cloudnative architectures, and enterprise integrations, and will work closely with cross-functional teams to drive high quality project delivery.

Key Responsibilities

Product Execution & Support

• Support the definition and execution of product vision and roadmap for SaaS and AI-based solutions.
• Work with senior product managers to translate business requirements into user stories, features, and acceptance criteria.
• Collaborate with AI/ML teams to integrate intelligent capabilities such as predictive insights or automation.
• Conduct market and user research, analyze metrics, and recommend improvements to enhance product value.
• Ensure product releases meet standards for security, performance, and scalability.

Project Delivery

• Manage end-to-end delivery of product releases across public (AWS, Azure, GCP) and private cloud environments.
• Coordinate project timelines, sprints, and dependencies using Agile or Hybrid methodologies.
• Participate in Scrum ceremonies, backlog refinement, and sprint reviews to ensure on-time execution.
• Track progress against defined KPIs and milestones, highlighting risks and dependencies proactively.
• Collaborate with cross-functional teams including engineering, QA, design, and customer success to ensure delivery excellence.

Stakeholder Coordination

• Act as a liaison between technical teams and business stakeholders, ensuring clear understanding of goals and deliverables.
• Support communication on project updates, risks, and progress to internal and external stakeholders.
• Contribute to building a collaborative and transparent delivery culture within agile teams.

Required Skills & Experience

• 4–6 years of experience in product delivery or project coordination within SaaS or Cloud environments.
• Exposure to AI/ML-based platforms or features such as AIOps, NLP, or predictive analytics.
• Good understanding of cloud platforms (AWS, Azure, GCP) and SaaS architecture (APIs, microservices).
• Experience in Agile/Scrum methodologies and tools such as Jira, Confluence, or Azure DevOps.
• Strong analytical, organizational, and communication skills.
• Ability to manage multiple priorities in a fast-paced, collaborative setup.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or Technology Management.
• Certifications such as CSM, PMI-ACP, or SAFe Practitioner preferred.
• Exposure to MLOps, DataOps, or Cloud automation platforms.
• Familiarity with enterprise integrations and observability/ITSM tools.

Key Performance Indicators (KPIs)

• Timely completion of sprints and project milestones.
• Product release quality and stability.
• Stakeholder satisfaction and cross-team collaboration.
• Contribution to roadmap execution and product improvements.
• Efficiency in managing dependencies and issue resolution.