Product Manager

Introduction

Job Title:

Product Manager

Overview:

SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit), and the public sector.

SymphonyAI Industrial is seeking a Product Manager with 6-8 years of experience to help drive the roadmap and execution for the IRIS Foundry platform. This role focuses on building and enhancing industrial AI and data platform capabilities that enable predictive maintenance, reliability, operational intelligence, and industrial analytics solutions across manufacturing, energy, utilities, mining, and process industries. The ideal candidate should have strong product management fundamentals, experience working with enterprise SaaS or platform products, and the ability to collaborate effectively with engineering, UX, data science, and customer-facing teams.

Job Description

Responsibilities:

• Contribute to the product vision and roadmap for the IRIS Foundry platform
• Work with senior product leaders, customers, and engineering teams to identify and prioritize platform capabilities
• Support roadmap planning and release prioritization based on business impact and customer value
• Define detailed product requirements, user stories, workflows, and acceptance criteria
• Partner with engineering teams throughout the product development lifecycle
• Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, and release planning
• Track feature delivery, dependencies, risks, and product quality metrics
• Collaborate with architects and engineers to ensure scalable and user-centric platform design
• Work closely with Engineering, UX/UI, Data Science, Customer Engagement, and Professional Services teams to ensure successful feature delivery and customer adoption
  
  

Required Skills & Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or related field
• 6-8 years of product management experience in enterprise software, SaaS platforms, industrial technology, or AI-driven products
• Proven expertise as a Product Manager, ideally in managing enterprise SaaS or platform products
• Strong understanding of Agile product development methodologies
• Ability to write clear product requirements and user stories
• Good prioritization, analytical, and problem-solving skills
• Strong understanding of cloud-based platforms, APIs and integrations, data platforms and analytics, AI/ML-driven applications, and enterprise software architecture
• Experience working with Agile/Scrum teams in fast-paced product organizations
• Strong verbal and written communication skills
• Ability to work effectively with both technical and non-technical stakeholders
• Strong stakeholder management and cross-functional coordination capabilities
• Customer-focused mindset with strong attention to detail
  
  

Preferred Skills & Qualifications:

• Prior experience in industrial software, manufacturing technology, or IoT platforms
• Exposure to industrial domain AI applications, such as Asset Performance Management (APM), manufacturing operations, industrial IoT, and reliability/maintenance systems
  
  

Diversity & Inclusion Statement:

We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply.

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

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