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Relations Manager – GSI
Relations Manager – GSIBest NanoTech • kanpur, uttar pradesh, in
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Relations Manager – GSI

Relations Manager – GSI

Best NanoTech • kanpur, uttar pradesh, in
8 days ago
Job description

Developer Relations Manager – GSI

Location : Bengaluru, India

Job Type : Full-time

Role Summary

We are seeking an experienced Developer Relations Manager to work with major global alliance partners and enable them on GPU-accelerated computing solutions—particularly in Machine Learning, Deep Learning, and Generative AI . This role blends technical evangelism, partner enablement, solution co-architecture, and ecosystem engagement. The ideal candidate is a passionate, fast-learning technologist who thrives in a rapidly evolving AI environment.

2. Key Responsibilities

A. Partner Engagement & Strategy

  • Work closely with partner executives and practice leaders to develop strategies that grow Generative AI and LLM-focused offerings.
  • Support partners in building and expanding their AI capabilities across multi-cloud, hybrid, and on-prem environments.

B. Technical Evangelism & Ecosystem Understanding

  • Deeply understand GenAI workflows, LLM technologies, and evolving ecosystem trends.
  • Promote client’s tools, SDKs, libraries, and platform solutions to partner architects and developers.
  • Attend key conferences, build industry connections, and stay updated on breakthroughs.
  • C. Solution Co-Architecture & Adoption

  • Co-architect repeatable GenAI and LLM solutions with partners.
  • Jointly scope customer requirements, ensuring seamless integration with ISVs, CSP services, data systems, and hybrid infrastructure.
  • Identify adoption blockers and provide feedback to internal product teams.
  • D. Go-to-Market & Collaboration

  • Drive early adoption of new products and support product launches.
  • Work closely with solution architects, partner managers, business development teams, sales, and marketing.
  • Participate in virtual collaboration frequently; occasional travel may be required.
  • 3. Required Qualifications

    A. Education & Experience

  • BS / MS in Engineering, Mathematics, Physics, Computer Science, or equivalent.
  • 12+ years of experience in technical leadership roles focused on architecting GPU-accelerated computing solutions.
  • B. Technical Expertise

  • Strong understanding of the Generative AI and LLM ecosystem including startups, ISVs, CSP services, data stores, and SaaS / platform offerings.
  • Experience architecting GPU-accelerated solutions for enterprise use cases.
  • Strong analytical, problem-solving, and multitasking skills.
  • C. Communication & Stakeholder Interaction

  • Excellent written and verbal communication skills.
  • Ability to translate complex technical concepts into clear value propositions for both technical and executive audiences.
  • High curiosity and awareness of advancements in LLMs, GenAI models, and related technologies.
  • 4. Preferred Qualifications

  • Hands-on experience with ML / DL frameworks and the MLOps ecosystem across cloud and on-prem environments.
  • Knowledge of cloud solution design, APIs, microservices, orchestration platforms, storage, and data migration.
  • Background in software engineering and application development.
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    Manager • kanpur, uttar pradesh, in

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