Ford Motor Company

Technical Product Manager

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Bengaluru • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

BigQueryCloudDockerGoogle Cloud PlatformKubernetesPython

About the role

  • Partner with the Product Owner to translate the high-level vision, road mapping for our GenAI products or platform into a clear, actionable strategy and a prioritized backlog of user stories.
  • Define and manage the product roadmap, focusing on delivering tangible value through iterative development and deliberate prioritization.
  • Leverage latest of Google Cloud services and Kubernetes technologies. Grow technical capabilities / expertise and provide guidance to other members on the team.
  • Act as the primary technical liaison between the development team and stakeholders, translating business needs into technical requirements and vice-versa.
  • Champion and help standardize best practices for MLOps and Generative AI development.
  • Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives) and lead technical working sessions to unblock the team and drive progress.

Requirements

  • A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a similar technical discipline.
  • 5+ years of combined experience in roles such as Technical Product Management, Software Engineering, or Solution Architecture within the AI/ML domain.
  • Demonstrated deep, hands-on expertise in at least one of the five specialization areas listed above.
  • Proven experience leading product development within an Agile framework, using tools like Jira.
  • Strong, hands-on proficiency with Python and experience with modern software development practices (Git, Docker, Kubernetes), reusable API service development
  • Deep understanding of the MLOps lifecycle and experience building or using enterprise-level ML platforms.
  • Practical experience building applications with modern GenAI frameworks and libraries (Hugging Face, LangChain/LangGraph, LlamaIndex) and an understanding of the underlying concepts (e.g., embeddings, vector stores, agentic systems).
  • 3+ years of hands-on experience with cloud services, preferably GCP (especially Vertex AI, GKE, BigQuery, Cloud Functions).
  • Exceptional communication skills, with the ability to lead teams, articulate a technical vision, and navigate complex decisions in a fast-paced environment.
  • Ability to lead teams, understand and rapidly learn technical acumen in AI/ML space, gather requirements, understand the customer, come up with solutions.
Benefits
  • Flexible working arrangements
  • Professional development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonMLOpsAgileAPI developmentGenAI frameworksHugging FaceLangChainLlamaIndexGoogle Cloud PlatformKubernetes
Soft skills
communicationleadershiptechnical visionproblem-solvingteam collaborationrequirement gatheringcustomer understandingdecision-makingadaptabilityfacilitation
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Computer Engineering