Digital Identity Product Strategist

2 weeks ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $140,000 - $180,000

As a Senior Machine Learning Product Leader, you will oversee the development of innovative machine learning driven digital identity and device identification products.

This leadership role requires an experienced product manager to manage a team of engineers and collaborate with cross-functional teams to create and maintain product ideas that solve customer problems.

The ideal candidate will be responsible for executing product plans, developing strategies, and managing backlogs.

  • Drive product execution, development plans, and backlog management.
  • Collaborate with cross-functional teams to develop and maintain product ideas that solve customer problems.
  • Identify opportunities to enhance our digital and device identifiers and insights.
  • Implement experimentation, optimization, and measurement using best practices.
  • Manage go-to-market strategies, ensuring product features and roadmaps are clearly communicated to stakeholders.

Key qualifications include:

  • At least 5+ years of experience in product management in software.
  • Expertise in Machine Learning.
  • Fraud prevention knowledge preferred but not required.
  • Digital identity or device profiling knowledge preferred but not required.
  • Strong analytical skills to drive insights from large data sets using tools like SQL and Snowflake.
  • Able to solve complex problems with simple solutions.
  • Excellent communication and confidence to advocate for digital and device identification within the business.
  • Track record of communicating complex technical concepts to non-technical business audiences.
  • Experience converting non-technical business requirements into technical design documents.
  • Able to manage multiple tasks, projects, and priorities.
  • Strong understanding of software development methodologies like Agile Scrum, Kanban, writing user stories, and some background in software development.
  • Bachelors or Masters degree in a technical subject is preferred.

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