Product Manager - Models For internal AI

About the job :

Red Hat Data + AI Office is looking for an AI Model Product Manager to join our team in Bangalore. In this role, you will work closely with Data Science and AI Engineering teams to align the strategy and roadmaps for models to the business needs for internal innovation and development platform.

What you will do?

• Work with key stakeholders to identify the right technical strategy for the models data science and tech teams need to execute with and against for all stages of the path to production.
• Partner with the Platform Product Manager to ensure bidirectional input/output for requirements into platforms.
• Ensure all processes are followed and executed to push models through legal and other processes/programs for approval/use.
• Prioritize roadmaps focused on the critical capabilities the business needs
• Coordinate collaboration activities across multiple teams, managing timelines, budgets, and resources effectively to deliver against goals.
• Work in conjunction with Demand & Governance teams to ensure access to and enablement of models into platforms is integrated into our processes
• Ensure visibility and enforcement of prevention/mitigation for potential risks, challenges, and regulatory considerations
• Identify gaps in resourcing or key points of friction preventing success, and make recommendations that address those issues
• Work with Red Hat product and engineering teams to ensure the model roadmap supports current and future AI product offerings
• Support enhancement of Red Hat AI offerings through customer zero approach

What you will bring?

• 10 + years of experience in Product Management with 5 + years in the AI space

• Leadership:
  • As a thought leader in AI, you will play a critical role in driving innovation and shaping the future of artificial intelligence within our organization. You will lead by example, sharing your expertise on cutting-edge AI technologies, trends, and ethical considerations.
  • Bias for action and leading by example
  • Prunes and prioritizes work in order to maximize your contributions and impact
  • Strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one

• Technical Proficiency:
  • Understanding of AI and machine learning (ML) concepts, algorithms, LLMs and their applications and knowing the art of the possible (and what isnt!)
  • Advanced experience with OpenShift and OpenShift AI

• Business Acumen:
  • Strong market research skills to understand trends, customer needs, and competitive landscape.
  • Ability to develop a clear product vision, define goals, and create a roadmap aligned with business objectives.
  • Experience in evaluating ROI for AI initiatives and prioritizing projects accordingly.

• Product Management:
  • Exceptional product management skills and discipline that leads to clarity for the teams doing the work
  • Experience or knowledge of open source or inner source development and processes
  • Experience with internal enterprise product management and platform transformation projects
  • Familiarity with agile methodology and iterative development practices.
  • Proven ability to manage cross-functional teams, allocate resources, and meet project deadlines.

• Communication:
  • Ability to communicate strategy, roadmap priorities and status updates, clearly with executives, engineers, designers, and other stakeholders.
  • User-centric approach to translate user needs into product requirements.
  • Strong presentation skills to convey complex AI concepts clearly and concisely.

• Adaptability and Learning:
  • Commitment to continuous learning and staying updated on AI advancements, industry trends, and emerging technologies.
  • Flexibility to adapt to changing requirements and pivot when necessary.