Technical Product Manager

1 day ago

Gurgaon, Haryana, India Sirius AI Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are seeking an experienced
AI Product Manager
to lead the strategy, roadmap, and execution of AI-powered products. This role requires a deep understanding of
AI/ML applications, user behaviour, and market dynamics
, combined with the ability to collaborate across global and regional teams. While product management will be the core responsibility,
technical/architectural knowledge
will be considered a strong plus.

Key Responsibilities

Product Strategy & Roadmap

  • Own the
    AI product strategy and roadmap
    , ensuring alignment with company-wide goals.
  • Identify opportunities to embed
    AI/ML capabilities
    across features, UI/UX, personalization, automation, payments, and customer experience.
  • Prioritise initiatives based on
    business impact, user value, and technical feasibility
    .

User & Market Understanding

  • Deeply understand
    user behaviour, cultural nuances, and commercial dynamics
    through research, data insights, and market analysis.
  • Act as the
    voice of users
    , advocating for their needs and preferences in product development.
  • Ensure AI products are built with
    ethical, explainable, and responsible practices
    .

Product Development & Execution

  • Collaborate cross-functionally with
    engineering, research, design, and global/regional teams
    to define, build, test, and launch high-impact features.
  • Drive the
    end-to-end product lifecycle
    — from ideation to rollout, measuring success, and iterating based on feedback.
  • Combine
    big-picture thinking with hands-on execution
    , and step into the details when needed.

Qualifications

Must-Have

  • 4-5 years of product management experience
    , including ownership of product strategy and execution in cross-functional settings.
  • Proven experience in
    AI products
    , with a strong understanding of
    user behaviour and market dynamics
    .
  • Strong understanding of
    AI/ML concepts, data-driven product development, and user engagement strategies
    .
  • Excellent communication and leadership skills with the ability to build
    alignment across global teams
    .
  • Demonstrated ability to thrive in
    ambiguous environments
    , solve hard problems, and approach decisions with a
    first-principles mindset
    .

Good-to-Have (Technical/Architectural Knowledge)

  • Familiarity with
    software/system architecture
    , APIs, and cloud infrastructure.
  • Exposure to
    scalable AI systems, MLOps, and distributed computing
    .
  • Understanding of
    data engineering, microservices, and DevOps practices
    .

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