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Senior Technical Product Manager (B2B & AI) (India)

Senior Technical Product Manager (B2B & AI) (India)

JobgetherIN
7 days ago
Job type
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Technical Product Manager (B2B & AI) in India.

We are seeking an experienced Senior Technical Product Manager to lead the vision, strategy, and execution of a GPU-accelerated cloud services platform designed for AI / ML workloads. This role will focus on driving product innovation, scaling platform capabilities, and delivering measurable value to enterprise customers. You will work closely with engineering, data science, and cross-functional teams to define roadmaps, prioritize features, and ensure successful product delivery. The ideal candidate combines deep technical expertise in AI infrastructure and cloud services with strong leadership skills to guide teams, influence stakeholders, and foster product-led growth. This is a high-impact opportunity to shape next-generation AI / ML platforms and support the expansion of a global technology ecosystem.

Accountabilities :

  • Define and champion the long-term vision and roadmap for AI / ML cloud services platforms, aligning product direction with company objectives.
  • Lead the development and delivery of platform features across IaaS, PaaS, and SaaS models.
  • Collaborate with engineering, product, and cross-functional teams to translate business goals into technical solutions.
  • Engage with enterprise customers and technical stakeholders to identify market opportunities and ensure product adoption.
  • Develop and execute go-to-market strategies, including product launches, positioning, and messaging.
  • Monitor and report on product KPIs, platform performance, and customer satisfaction to drive continuous optimization.
  • Mentor and support team members, fostering a culture of collaboration, accountability, and technical excellence.

Requirements

  • 7+ years of product management experience, with at least 3 years managing technical AI infrastructure products.
  • Hands-on experience with GPU resource management, AI / ML frameworks, model training, inference optimization, and quantization workflows.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP and AI-specific services (e.g., SageMaker, Databricks, ScaleAI).
  • Strong understanding of ML model architectures, training dynamics, and optimization techniques.
  • Proven track record of successful product launches and measurable outcomes.
  • Exceptional leadership, communication, prioritization, and team-building skills.
  • Ability to engage both technical and non-technical stakeholders effectively.
  • Degree in engineering, computer science, physical sciences, or related field.
  • Preferred : hands-on development experience (Node.js, React, Angular), DevOps knowledge, regulatory / compliance familiarity, and experience with P2P or AI projects.
  • Benefits

  • Remote-first work with global collaboration opportunities.
  • Ownership over product vision and strategic decision-making.
  • Exposure to cutting-edge AI / ML technologies and cloud infrastructure.
  • Opportunity to work with high-caliber, cross-functional teams.
  • Career growth, mentorship, and skill development opportunities.
  • Competitive compensation package and performance incentives.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile undergoes an AI-powered screening designed to identify top talent efficiently and fairly.

    šŸ” Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    šŸ“Š It compares your profile to the role’s core requirements and past success factors to determine your match score.

    šŸŽÆ Based on this analysis, the three candidates with the highest match are automatically shortlisted.

    🧠 When needed, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are determined by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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