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Lead Product Manager

Lead Product Manager

ConfidentialBengaluru / Bangalore
4 days ago
Job description

Key Responsibilities

  • Vision Strategy :   Spearhead the development and implementation of cutting-edge AI solutions by crafting the vision, strategy, roadmap, and execution plan.
  • Product Development :   Build detailed product requirements, narratives, and technical specifications. These should be driven by customer feedback and intuitive product thinking.
  • Rethink end-to-end User Experience :   You will lead the charge in driving the rethinking of end-to-end user experience for a
  • Data-Driven Insights :   Utilize data to deeply understand user needs and guide future product development. Build the necessary Analytics layer to enable data-driven decision making.
  • Cross-Functional Collaboration :   Work closely with engineering, product design, cross-track product management and GTM teams to bring new capabilities to life.
  • Drive Engineering Design and Excellence :   Stay ahead of the technology curve. Leverage Agentic AI, Generative AI, Predictive AI and Analytics to optimize dealership and enterprise workflows.
  • Drive Internal AI adoption :   Evaluate partnership with Vendors with the goal of improving internal productivity of Tekion teams with AI Solutions

Skills and Experience

  • 7+ years of experience  in Product Management in B2B2C, B2B or B2C space
  • 3+ years in AI-focused product management  in B2B2C, B2B or B2C space
  • Experience working closely and driving product requirements for Data Engineering, ML Engineering and Data Science teams.
  • Experience working in a SaaS offering in one or many of the following : Accounting, Payroll, CRM, ERP, DMS, eCommerce / Digital Retail, and Analytics.
  • Proven track record of launching  AI-driven enterprise SaaS solutions  at scale.
  • Experience building teams and growing organizations.
  • Deep understanding of  LLMs, AI Agentic Platform, Generative AI and Predictive AI models
  • Ability to navigate and lead cross-functional teams through complex AI product development lifecycles.

    • Preferred Skills

  • Formal degree in a technical field such as Machine Learning, Statistics or Computer Science.
  • 10+ years of product management experience, ideally building SaaS platforms.
  • Familiarity with core AI platform elements such as Kubeflow, Pinecone, Langchain, etc.
  • Knowledge of AI tooling stack across one / many public cloud and Data vendors such as AWS Sagemaker, Azure ML, Google Vertex AI, Databricks, etc.
  • Familiarity with  LLM-based applications  and  AI-enhanced customer engagement tools  .
  • Strong technical acumen in  cloud-based AI infrastructures and data pipelines  .
  • Experience in  automotive, supply chain, or enterprise AI SaaS solutions  .
  • Experience managing large, technically complex engineering programs spanning multiple teams
  • A high degree of independent drive.

    • Skills Required

    Machine Learning, Product Management, Saas

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    Lead Product Manager • Bengaluru / Bangalore