Product Manager

Adept Global; Mumbai; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Adept Global is seeking an experienced Product Manager to lead the development of an AI Operator Platform in Mumbai, India. This role involves defining the behavior and decision-making processes of AI agents used to optimize business workflows across various domains.

Applicants should possess over 6 years of product management experience, with at least 1 year in AI-focused projects. Strong skills in analyzing workflows, drafting product specifications, and collaborating with engineering teams are essential.

Qualifications

• 6+ years of Product Management experience, including 1 year in AI/ML products.
• Strong understanding of AI agents and Large Language Models (LLMs).
• Experience writing detailed product specifications with acceptance criteria.

Responsibilities

• Own the product roadmap for AI agent systems automating business workflows.
• Define agent behavior and decision-making authority.
• Work closely with AI engineers on LLM and automation systems.

Skills

Product management experience

Technical understanding of AI systems

Analytical thinking

Strong judgment on automation boundaries

Job description

Industry: Artificial Intelligence / SaaS / Technology

Experience Required: 6+ Years (Including 1+ Year in AI/ML Products)

About the Role:

We are building an AI Operator Platform where autonomous agents manage workflows across Sales, Marketing, HR, Finance, and Content Operations. This role goes beyond traditional product management— instead of writing simple feature tickets, you will define how AI agents behave, make decisions, operate autonomously, and interact with human workflows.

The ideal candidate should have strong product thinking, technical understanding of AI systems, and the ability to translate complex business operations into scalable AI-powered workflows.

Key Responsibilities:

• Own the product roadmap for AI agent systems automating business workflows across multiple domains
• Define agent behavior, decision-making authority, guardrails, escalation paths, and human-in-the-loop processes
• Write structured PRDs, acceptance criteria, workflows, and edge-case handling documentation
• Work closely with AI engineers on LLM, RAG, and agentic workflow systems
• Understand customer operations and map real business workflows into AI automation capabilities
• Define success metrics, operational impact measurement, and AI outcome attribution
• Manage multi-tenant SaaS configurations including onboarding, tenancy logic, permissions, and workflow customization
• Identify opportunities where AI can replace or optimize existing enterprise software and operational costs
• Drive fast execution cycles and iterative product improvements in a high-velocity environment

Required Skills & Experience:

• 6+ years of Product Management experience with exposure to technical or AI-driven products
• Minimum 1 year of experience working on AI/ML, LLM, or automation-focused platforms
• Strong understanding of AI agents, Large Language Models (LLMs), and RAG architectures
• Experience writing detailed product specifications with clear acceptance criteria and edge-case handling
• Understanding of SaaS platforms including multi-tenancy, onboarding, billing, and configuration systems
• Ability to analyze operational workflows and convert them into scalable AI automation systems
• Strong analytical thinking and decision-making skills
• Comfortable working in ambiguous and fast-paced startup environments

Preferred Background:

• Experience building AI products in SalesTech, HRTech, FinTech, MediaTech, HealthcareTech, or EdTech
• Exposure to compliance-driven environments such as HIPAA, FERPA, or SOC 2
• Experience defining AI evaluation frameworks and output quality measurement systems
• Background working in lean, high-growth teams with ownership across discovery, execution, demos, and delivery
• Familiarity with enterprise workflow automation and operational optimization

What We Look For:

• Ability to simplify ambiguous business problems into structured product workflows
• Strong judgment on automation boundaries and human oversight requirements
• Practical understanding of AI capabilities, limitations, and failure modes
• Ownership mindset with strong execution and communication skills
• Ability to work independently and collaborate across engineering and business teams