AI Infrastructure Specialist

2 weeks ago

Singapore beBeeInnovation Full time $80,000 - $120,000
Product Visionary

Define and drive the product vision for a core internal platform focused on network infrastructure lifecycle management. Collaborate closely with engineers, designers, and cross-functional partners to define product requirements and ensure smooth execution across the product lifecycle. Translate data insights and technical challenges into user-centric product opportunities, from ideation through launch and post-launch optimization. Partner with stakeholders to prioritize the roadmap and manage the product backlog based on impact, feasibility, and business goals. Conduct in-depth data analysis (SQL, Python) to uncover insights, measure impact, and guide product decisions. Stay on top of emerging trends in AI, automation, and infrastructure tooling to inform product innovation. Create and deliver clear, compelling presentations and proposals for senior leadership buy-in. Track product KPIs and technical performance, and continuously iterate to improve.

Key Requirements
  • 4+ years experience in Product Management, Business Analysis, or Data Science, especially in technical or AI/ML-heavy environments.
  • Proven experience working on AI-driven tools or systems, with an understanding of trade-offs between ML, rules-based, or automation-based approaches.
  • Ability to engage deeply in technical discussions with engineering teams, comfortable with backend logic, APIs, and scalable architectures.
  • Strong understanding of modern software systems, distributed infrastructure, and cloud platforms.
  • Proficient in SQL and Python, comfortable using data to drive product decisions.
  • Excellent communication skills, able to translate complexity into actionable insights for both technical and non-technical audiences.
  • Passion for building internal tools that make engineers more productive.
Benefits

Be the first Product Manager for a growing internal platform that supports global infrastructure operations. You'll have autonomy, visibility, and the chance to shape impactful products used across engineering teams, while building deep technical expertise in AI, automation, and systems thinking.

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