AI Product Lead

Good co India; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Good co India seeks an experienced AI Product Manager to define and execute the AI product vision, strategy, and roadmap. You will align initiatives with business objectives and lead end-to-end product development with AI/ML, LLMs, and automation.

You will collaborate with engineers, data scientists, UX designers, and stakeholders to translate requirements into measurable outcomes, govern AI safety and data privacy, and drive adoption through data-driven decisions and strong leadership.

Qualifications

• Experience defining product vision and managing roadmaps.
• Strong understanding of AI/ML concepts and LLMs.
• Translate business needs into product requirements and user stories.
• Proven ability to deliver AI-powered products end-to-end.
• Proficiency with Jira, Confluence, Productboard, or equivalent tools.

Responsibilities

• Define and execute AI product vision, strategy, and roadmap.
• Identify AI and automation opportunities via market research and insights.
• Translate requirements into product specs and measurable KPIs.
• Lead end-to-end lifecycle from ideation to launch.
• Collaborate with AI/ML engineers, data scientists, and designers.
• Evaluate feasibility, value, and risk of AI/ML solutions.
• Prioritize use cases including LLMs, RAG, and intelligent automation.
• Define KPIs, adoption metrics, and ROI targets.
• Ensure data privacy, security, and responsible AI compliance.
• Conduct experiments and A/B tests to improve quality.

Skills

AI product strategy

Roadmap planning

Market research

Stakeholder management

Jira

Confluence

Productboard

SQL

Agile/Scrum

Prompt engineering

LLMs

Education

Bachelor's degree in CS/Engineering

Tools

Jira

Confluence

Productboard

SQL

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.