AI Product Manager

Yottaflex.ai Inc

India

On-site

INR 1,200,000 - 1,800,000

Full time

9 hours ago
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Benefits offered by this job

AI-native products
Diverse product domains
Collaboration with senior leadership
Ownership and autonomy

Job summary

YottaFlex AI Technologies Private Limited is seeking an AI Product Manager to own and drive AI-powered product initiatives across its product portfolio. The role involves shaping discovery, requirements, prioritization, development, launch, and adoption, working with engineering, leadership, customers, and stakeholders to translate business problems into scalable AI solutions.

The ideal candidate blends solid product management fundamentals with hands-on understanding of AI/LLM technologies and

Qualifications

  • 3–6 years of experience in Product Management.
  • Hands-on experience with at least one AI/ML or Generative AI product or feature.
  • Strong understanding of modern LLM capabilities and applications.
  • Experience with APIs, data flows, and engineering constraints.

Responsibilities

  • Own product initiatives end-to-end from discovery to adoption.
  • Define vision, roadmap, priorities, and success metrics.
  • Gather and analyze customer, business, and market requirements.
  • Translate problems into epics, user stories, and specs.
  • Collaborate with engineering to deliver AI-powered capabilities.
  • Identify use cases for LLMs, AI agents, RAG, automation, and workflows.
  • Evaluate models on quality, cost, latency, security, and scalability.

Skills

Product Management
AI/ML product
Agile/Scrum
SaaS/Enterprise
Communication

Job description

Secondary Skills RAG, AI Agents, Prompt Engineering, AI Evaluation, API Integration, AWS/Azure/GCP

About YottaFlex

YottaFlex is an AI-native technology company building intelligent software products and delivering AI engineering solutions for enterprise and government clients.

Our product portfolio includes YottaBuilder, an AI-powered software development lifecycle platform, and SafeChief, a SaaS platform supporting safe deposit box lifecycle management and unclaimed property compliance for banks and credit unions.

About the Role

We are looking for an AI Product Manager to own and drive AI-powered product initiatives across the YottaFlex product portfolio.

The role involves working across product discovery, requirements, prioritization, development, launch, and adoption. You will work closely with engineering teams, leadership, customers, and other stakeholders to translate business problems into practical, scalable AI product solutions.

The ideal candidate combines strong product management fundamentals with hands-on understanding of AI/LLM technologies and is comfortable working across multiple products and user groups.

Key Responsibilities
  • Own product initiatives end-to-end, from discovery and requirements through development, launch, and adoption.
  • Define product vision, roadmap, priorities, and success metrics.
  • Gather and analyze customer, business, and market requirements.
  • Translate business problems into clear epics, user stories, acceptance criteria, and product specifications.
  • Work closely with engineering teams to define and deliver AI-powered product capabilities.
  • Identify appropriate use cases for LLMs, AI agents, RAG, automation, and deterministic workflows.
  • Evaluate AI models based on quality, accuracy, cost, latency, security, and scalability.
  • Define AI evaluation criteria, test cases, and quality benchmarks before product releases.
  • Experiment with prompts and AI workflows and collaborate with engineering teams to improve product performance.
  • Identify opportunities to develop reusable AI capabilities across multiple products.
  • Prioritize and manage product backlogs based on customer value and business impact.
  • Conduct product demonstrations and communicate product decisions and trade-offs to stakeholders.
  • Work effectively with distributed teams across India and the US.
  • Prepare PRDs, product specifications, decision documents, release notes, and other product documentation.
Required Qualifications
  • 3–6 years of experience in Product Management.
  • Experience working on technical software products, SaaS platforms, enterprise applications, developer tools, or similar products.
  • Proven experience working closely with software engineering teams to build and launch products or features.
  • Hands‑on experience with at least one AI/ML or Generative AI product or feature.
  • Strong understanding of modern LLM capabilities, limitations, and practical applications.
  • Working knowledge of AI concepts such as:
    • Generative AI / LLMs
    • Prompt Engineering
    • RAG
    • AI Agents
    • Tool/Function Calling
    • AI Evaluation
    • AI Guardrails
  • Ability to understand APIs, technical architecture, data flows, and engineering constraints.
  • Strong analytical, problem‑solving, prioritization, and decision‑making skills.
  • Excellent written and verbal communication skills.
  • Experience working in an Agile/Scrum environment.
Preferred Qualifications
  • Experience with AWS, particularly Amazon Bedrock, Lambda, or serverless architectures.
  • Exposure to Azure or GCP.
  • Experience building B2B SaaS or enterprise products.
  • Experience with developer platforms, SDLC products, or engineering tools.
  • Experience in banking, financial services, compliance, or other regulated industries.
  • Experience with AI evaluation, observability, LLM cost optimization, or performance optimization.
  • Experience working with geographically distributed teams.
  • Experience working with US‑based customers or stakeholders.
What We Offer
  • Opportunity to work on AI-native products for enterprise customers.
  • Exposure to diverse product domains and emerging AI technologies.
  • Collaboration with senior leadership and global teams.
  • Ownership and autonomy in driving AI product initiatives.

Yottaflex AI Technologies Private Limited is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to building a diverse, inclusive workplace.

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