Senior Product Manager

10 years

0 Lacs

Posted:3 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

🚀 About OrbitronAI

large language model magic

$10 million in seed funding

👥 The Team Behind OrbitronAI

exceptional leadership team

  • Former

    EY Partners

  • Ex-CTOs and

    Heads of Engineering

    from successful

    Series B+ startups

enterprise projects valued at over $1 billion

🌟 Why Join OrbitronAI?

  • Massive Impact, Real Ownership

    → Ship end-to-end features, own outcomes, and see your work power mission-critical systems.
  • Battle-Tested Leadership

    → Learn and grow with seasoned leaders who bring deep industry expertise and

    zero ego

    .
  • Cutting Edge Stack

    → Work with

    GenAI frontier models, Java, Python, Go, TypeScript, GCP & edge compute, Vector DBs, DAG engines

    .

🧬 Our Cultural DNA

  • Hustle

    → Move with urgency, bias for action, celebrate shipping.
  • Ownership & Commitment

    → Act like a founder — your decisions shape the company.
  • Founder’s Mindset

    → Challenge ideas, not people. Seek truth, not consensus.
  • Continuous Learning

    → No legacy thinking; we invest in upskilling and sponsor courses & conferences.
  • Pride in Craft

    → Pixel-perfect UIs, rock-solid infra, clean code. If it has your name on it, make it remarkable.
  • No-Ego Zone

    → Brilliant ≠ arrogant. We win together by being kind, direct, and respectful.


Senior Product Manager


Location: Bangalore/Dubai

Onsite: 5 days work from office


Key Responsibilities

1. Product Strategy and Vision (The "Why" and "What")

  • Define and Own Product Strategy:

    Establish a clear, compelling, and differentiated product vision and roadmap that aligns with the company’s strategic goals across the Energy, Fintech, and Marketing sectors.
  • Market and Customer Insight:

    Conduct deep market research, competitive analysis, and customer interviews to identify high-impact AI opportunities, emerging trends, and unmet needs within each vertical.
  • Feature Prioritization:

    Translate strategic objectives and customer feedback into prioritized product requirements (PRDs), user stories, and acceptance criteria for the engineering teams.

2. Technical Collaboration (The "How")

  • Own the Roadmap:

    Define and manage the roadmap for the product stack, with a focus on modularity and reuse
  • Shape the Solution:

    Define and produce User journeys and stories for engineering consumption.
  • Customer Engagement:

    Partner directly with flagship enterprise customers to capture feedback and validate product direction
  • Deployment Feedback Loops:

    Partner with Implementation Leads to capture learnings from deployments and codify them into scalable templates
  • Cross-Functional Alignment:

    Act as the central node between Engineering/AI, Implementation, GTM, and Strategy
  • Market Research & Competitive Intelligence:

    Track evolving trends in contact center platforms, applied AI, and vertical-specific needs
  • Support GTM:

    Collaborate with GTM teams on pricing, packaging, analyst briefings, and case studies
  • Instrument & Optimize:

    Establish usage metrics and outcome tracking, closing the loop with AI Engineers to improve performance

4. Commercialization and Financial Ownership (The "Revenue")

  • Go-to-Market (GTM) Strategy:

    Drive the product GTM strategy

    by working hand-in-hand with sales, marketing, and partnership teams to define pricing models, sales enablement materials, and launch plans for each vertical.
  • P&L Accountability:

    Take

    full responsibility for the product's overall Profit and Loss (P&L)

    , managing the budget for product development, forecasting revenue, and optimizing operational costs to maximize profitability.
  • Sales Support:

    Act as the internal and external product expert during the sales cycle for key accounts, delivering compelling product presentations and demos.

Qualifications

  • 10+ years of experience in

    Product Management

    , including at least 5 years leading cross-functional technical teams.
  • Proven experience managing

    AI/ML-based enterprise products

    .
  • Strong understanding of

    Energy, Finance, or Marketing technologies and workflows

    .
  • Demonstrated success owning

    P&L

    and driving GTM execution.
  • Technical background (Computer Science, Engineering, or Data Science would be a bonus).
  • Exceptional leadership, communication, and analytical skills.
  • Experience with cloud infrastructure (AWS, Azure, GCP), data pipelines, APIs and DevOps tools.

Preferred Attributes

  • Experience scaling SaaS/PaaS or AI-driven platforms across geographies.
  • Exposure to regulated industries and compliance frameworks.
  • Strategic mindset with ability to connect product innovation to financial outcomes.
  • Deep curiosity about AI/agentic systems, data platforms, and vertical automation.

Performance Metrics

  • Product adoption and customer success scores
  • Time-to-market and quality of product releases
  • Revenue growth and margin performance
  • Customer retention and expansion rate

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