Senior Product Manager

🚀 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