AI Product Manager

Technology services Company; Mumbai; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A technology solutions provider in Mumbai seeks an experienced professional to lead the product lifecycle for AI/ML solutions. The role requires expertise in AI, ML, and data analysis, along with excellent communication skills to bridge technical and business teams. Candidates should have 4+ years of product management experience with at least 2 years in AI/ML. Responsibilities include guiding teams, conducting data analysis, and keeping up with AI trends. The company offers an innovative environment with opportunities for growth.

Qualifications

• 4+ years in product management.
• 2+ years in AI/ML roles.

Responsibilities

• Lead product lifecycle for AI/ML solutions.
• Guide cross-functional teams to meet client requirements.
• Conduct data analysis to inform product decisions.
• Collaborate with business development for client pitches.
• Innovate features based on AI trends.

Skills

AI expertise

ML expertise

Data analysis

Python scripting

Agile methodologies

Excellent communication

Familiarity with React/Node.js

Job description

Required Skill Set:

• Strong expertise in AI, ML, data analysis, and Python (hands‑on scripting for prototyping/analysis).
• Proven SDLC knowledge, including Agile/Scrum, to mentor teams on client delivery.
• Experience accompanying sales/BD teams in client meetings and presenting technical solutions.
• Excellent communication; ability to bridge technical and business stakeholders.
• Bonus: Familiarity with React/Node.js stacks, real estate tech, or cloud deployments (AWS/GCP/Private Data centre).

Experience: 4+ years in product management, with 2+ years in AI/ML.

Key Responsibilities:

• Lead end‑to‑end product lifecycle for AI/ML solutions, from ideation to deployment, ensuring alignment with SDLC best practices.
• Guide cross‑functional teams (dev, data, design) to deliver client‑specific requirements on time and at scale.
• Conduct data analysis using Python and ML tools to inform product roadmaps and optimize features.
• Collaborate with business development on client meetings, demos, and pitches to translate needs into actionable products.
• Stay ahead of AI trends (e.g., agentic AI, neural networks) to innovate and prioritize features.