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CareerXperts Consulting

Product Manager | AI

CareerXperts Consulting · India

  • Hybrid
  • Full-time
  • $120,000 / year
  • India

Job highlights

  • Lead AI product strategy and roadmap.
  • Translate business needs into AI solutions.
  • Collaborate with engineering and data teams.
  • Drive AI products from concept to launch.
  • Enhance user experience with AI.

About the role

Product Manager - AI

CareerXperts Consulting is seeking a Product Manager – AI responsible for driving the development of intelligent, AI-powered products that enhance user experience and operational efficiency. This role focuses on translating business problems into scalable AI solutions, aligning cross-functional teams, and ensuring the delivery of high-impact product features.

Role Focus Areas

  • AI product strategy and roadmap ownership
  • Translation of business needs into AI-driven solutions
  • Cross-functional execution across engineering, data, and design teams

Key Responsibilities

  • Define product vision, roadmap, and priorities for AI-driven products.
  • Identify and develop use cases leveraging AI, machine learning, and automation.
  • Translate business requirements into clear product specifications and user stories.
  • Work closely with engineering and AI teams to deliver scalable solutions.
  • Drive end-to-end product lifecycle from concept to launch and iteration.
  • Monitor product performance, user engagement, and model effectiveness.
  • Collaborate with stakeholders to align product direction with business goals.
  • Conduct market research and stay updated on AI trends and innovations.
  • Ensure timely delivery of features with measurable impact.

Expected Outcomes

  • Successful launch of AI-powered product features.
  • Improved user experience through intelligent automation and insights.
  • Clear alignment between product execution and business objectives.
  • Continuous improvement in product performance and adoption.

Core Competencies

  • Strong understanding of product management and development lifecycle.
  • Ability to work with AI/ML concepts, data models, and technical teams.
  • Analytical thinking and data-driven decision-making.
  • Strong communication and stakeholder management skills.
  • Ability to manage ambiguity and prioritize effectively.

Experience & Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Business, or related field.
  • 3–6 years of experience in product management or related roles.
  • Experience working with AI/ML products, data platforms, or analytics-driven systems.

Preferred Background

  • Understanding of machine learning workflows, NLP, or AI integrations.
  • Experience working with APIs, data pipelines, or AI-powered platforms.
  • Exposure to SaaS or enterprise product environments.

What This Role Offers

  • Opportunity to build and scale AI-driven products.
  • Exposure to advanced technologies including AI, NLP, and automation.
  • High-ownership role with cross-functional collaboration.
  • Growth opportunities within product and AI domains.

Key skills/competency

  • Product Management
  • AI Product Strategy
  • Roadmap Development
  • Machine Learning
  • Data Analysis
  • Cross-functional Team Leadership
  • Stakeholder Management
  • SaaS Products
  • Product Lifecycle Management
  • AI/ML Product Development

Skills & topics

  • Product Manager
  • AI
  • Machine Learning
  • Product Strategy
  • Roadmap
  • Data Analysis
  • SaaS
  • Product Development
  • NLP
  • Technology

How to get hired

  • Tailor your resume: Highlight AI product management experience and relevant technical skills.
  • Showcase AI/ML understanding: Emphasize experience with AI/ML concepts, data models, and product lifecycles.
  • Prepare product strategy examples: Be ready to discuss your approach to AI product roadmaps and use cases.
  • Demonstrate collaboration: Prepare to discuss how you've worked with engineering, data, and design teams.
  • Research CareerXperts Consulting: Understand their focus on AI and consulting services.

Technical preparation

Study AI/ML concepts and workflows.,Familiarize yourself with data pipelines.,Understand SaaS and enterprise environments.,Practice defining product specifications.

Behavioral questions

Describe a challenging AI product launch.,How do you prioritize AI product features?,Share an experience managing stakeholders.,How do you stay updated on AI trends?

Frequently asked questions

What are the core responsibilities of an AI Product Manager at CareerXperts Consulting?
As an AI Product Manager at CareerXperts Consulting, you will define product vision and roadmaps for AI-driven products, translate business requirements into AI solutions, and drive the end-to-end product lifecycle. You'll work closely with engineering and AI teams, monitor product performance, and ensure alignment with business goals.
What kind of AI/ML experience is expected for this Product Manager role?
The role requires experience working with AI/ML products, data platforms, or analytics-driven systems. Familiarity with machine learning workflows, NLP, or AI integrations, and experience with APIs or data pipelines are preferred.
What is the typical career path for a Product Manager at CareerXperts Consulting?
CareerXperts Consulting offers growth opportunities within product and AI domains. This role provides a chance to build and scale AI-driven products, gain exposure to advanced technologies, and develop expertise in a high-ownership capacity.
What are the essential technical skills for this Product Manager AI position?
Key technical skills include a strong understanding of the product management lifecycle, the ability to work with AI/ML concepts and data models, and analytical thinking for data-driven decision-making. Experience with AI/ML products and data platforms is also crucial.
How does CareerXperts Consulting leverage AI in its product development?
CareerXperts Consulting focuses on developing intelligent, AI-powered products to enhance user experience and operational efficiency. This involves translating complex business problems into scalable AI solutions and leveraging technologies like AI, machine learning, and automation.