AI Product Manager - Deep Learning Platforms (Hybrid)

Placements24

Queenstown

Hybrid

NZD 140,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Health, dental, and vision insurance
Bonus structure
Paid time off and holidays
Career development opportunities
Employee stock purchase plan

Job summary

Placements24 in Queenstown is seeking an experienced AI Product Manager to own the strategy, roadmap, and delivery of AI and deep learning powered products. You will collaborate with engineering, data science, design, and marketing to translate market insights into compelling product features.

The role requires a strong technical foundation in deep learning frameworks, excellent stakeholder management, and a pragmatic, market-driven approach.

Qualifications

  • Bachelor's degree in CS/Engineering or related field.
  • MBA or Master’s degree preferred.
  • 5+ years in product management with AI/ML or DL products.
  • Strong understanding of DL concepts and frameworks.
  • Experience in agile environments and translating tech to business value.

Responsibilities

  • Define product vision, strategy, and roadmap for AI and DL platforms.
  • Conduct market research and competitive analysis.
  • Translate requirements into detailed specifications and user stories.
  • Prioritize backlog and manage end-to-end lifecycle.
  • Collaborate with engineering, data science, design, and marketing.
  • Define KPIs and support go-to-market strategies.

Skills

AI product management
Deep learning
Market research
Backlog prioritization
Agile
Communication
Strategic thinking
Cross-functional collaboration

Education

Bachelor's degree in Computer Science/Engineering
MBA or Master's degree preferred

Tools

TensorFlow
PyTorch
MLOps tooling

Job description

Placements24 in Queenstown is seeking an experienced AI Product Manager to own the strategy, roadmap, and delivery of AI and deep learning powered products. You will collaborate with engineering, data science, design, and marketing to translate market insights into compelling product features.

The role requires a strong technical foundation in deep learning frameworks, excellent stakeholder management, and a pragmatic, market-driven approach.

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