AI Product Lead

Good co India

India

On-site

INR 2,500,000 - 4,200,000

Full time

14 days+

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Job summary

Good co India seeks a seasoned AI Product Manager to define and drive the product vision for AI-enabled offerings in an enterprise setting. You will shape strategy, roadmaps and priorities, translating business needs into robust AI solutions while coordinating with AI/ML engineers, data scientists and stakeholders.

You will evaluate feasibility, cost, and impact of AI/LLM driven products, prioritizing LLM/RAG use cases and ensuring compliance, data privacy and governance.

Qualifications

  • Experience defining product vision and roadmaps for AI/ML products.
  • Ability to translate complex AI capabilities into customer-centric products.
  • Proficiency with Jira, Confluence and product analytics tools.
  • Strong data-driven decision making and KPI tracking.
  • Comfort with Agile/Scrum and stakeholder management.
  • Experience launching AI-powered enterprise SaaS or automation platforms.

Responsibilities

  • Define and execute the AI product vision, strategy, roadmap and priorities.
  • Identify opportunities for AI, GenAI and automation via market research and insights.
  • Translate requirements into user stories and success criteria.
  • Lead end-to-end product lifecycle from ideation to launch and improvement.
  • Collaborate with AI/ML engineers, data scientists and business stakeholders.
  • Evaluate feasibility, cost, accuracy and business value of AI/LLM solutions.
  • Prioritize AI use cases involving LLMs, RAG, AI agents and analytics.
  • Define KPIs, adoption metrics, customer satisfaction and ROI targets.
  • Ensure data privacy, security, responsible AI and regulatory compliance.
  • Conduct experiments, A/B tests and performance analysis to improve UX.
  • Develop business cases, go-to-market plans and product positioning.
  • Monitor industry trends and competitor offerings for innovation.
  • Manage backlogs, sprint priorities and delivery timelines.
  • Communicate strategy, progress and risks to leadership and teams.

Skills

AI/ML concepts
Roadmap definition
Stakeholder management
Jira
Confluence
Product discovery

Education

Bachelor's or master's in CS/AI/ Data Science or related

Tools

Productboard
SQL
Experimentation

Job description

Role & responsibilities
  • Define and execute the AI product vision, strategy, roadmap, and product development priorities aligned with business objectives.
  • Identify business opportunities for AI, Generative AI, and automation through market research, customer insights, and competitive analysis.
  • Translate business requirements and customer needs into product requirements, user stories, and measurable success criteria.
  • Lead the end-to-end product lifecycle, from ideation and discovery to prototyping, development, launch, and continuous improvement.
  • Collaborate with AI/ML engineers, data scientists, software developers, UX/UI designers, and business stakeholders to deliver AI-powered products.
  • Evaluate the feasibility, scalability, accuracy, cost, and business value of AI/ML and LLM-based solutions.
  • Prioritize AI use cases involving LLMs, RAG, AI agents, predictive analytics, and intelligent automation.
  • Define product KPIs, adoption metrics, customer satisfaction measures, model performance indicators, and ROI targets.
  • Ensure AI products meet requirements for data privacy, security, responsible AI, regulatory compliance, and risk management.
  • Conduct product experiments, user testing, A/B testing, and performance analysis to improve product quality and user experience.
  • Develop business cases, product positioning, go-to-market strategies, and product launch plans.
  • Monitor industry trends, emerging AI technologies, and competitor offerings to identify product innovation opportunities.
  • Manage product backlogs, sprint priorities, stakeholder expectations, budgets, and delivery timelines.
  • Communicate product strategy, progress, risks, and business outcomes to senior leadership and cross-functional teams.

Preferred candidate profile
  • Bachelors or masters degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Business Administration, or a related discipline.
  • Typically 7 to 12 years of experience in product management, technical product management, software product development, or AI/ML product delivery.
  • Demonstrated experience defining product vision, managing roadmaps, prioritizing features, and delivering products from concept to launch.
  • Strong understanding of AI/ML concepts, Generative AI, LLMs, RAG, prompt engineering, AI agents, and the practical limitations of AI systems.
  • Experience translating complex technical capabilities into customer-centric products and measurable business outcomes.
  • Proficiency in product management tools such as Jira, Confluence, Productboard, or equivalent platforms.
  • Familiarity with product analytics tools, SQL, experimentation, KPI tracking, and data-driven decision-making.
  • Understanding of Agile/Scrum methodologies, design thinking, user research, and product discovery practices.
  • Experience working with engineering, data science, design, sales, marketing, and executive stakeholders.
  • Knowledge of AI governance, model evaluation, data privacy, responsible AI, and risk mitigation.
  • Strong strategic thinking, analytical reasoning, communication, negotiation, and stakeholder-management skills.
  • Ability to balance customer needs, technical feasibility, business priorities, product quality, and time-to-market.
  • Demonstrated leadership in cross-functional teams, change management, and driving product adoption.
  • Prior experience launching AI-powered products, enterprise SaaS solutions, or intelligent automation platforms is highly desirable.

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