Machine Learning Product Leader

3 days ago

Sydney, New South Wales, Australia beBeeLeadership Full time $180,000 - $200,000

Job Summary:

We are seeking a Machine Learning Product Leader to join our team. This is a leadership role that involves managing a portfolio of machine learning driven digital identity and device identification products.

In this position, you will be responsible for evangelizing the value and vision of these products to customers and customer-facing teams within the organization.

You will lead product execution, development plans, and backlog management. You will work closely with cross-functional teams to develop and maintain product ideas that solve customer problems.

Key Responsibilities:
  • Lead product strategy and roadmap development
  • Collaborate with cross-functional teams to drive product development and innovation
  • Develop and execute go-to-market strategies for new products and features
  • Manage relationships with key stakeholders, including customers, sales teams, and engineering teams
Requirements:
  • 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
  • Analytical skills needed to drive insight from billions of data points using tools such as SQL and Snowflake
  • Demonstrate the ability to solve complex problems with simple solutions
  • Strong communication and confidence to act as an evangelist for digital and device identification within the business
  • Track record of communicating complex, technical concepts to a non-technical business audience
  • Track record of converting non-technical, business requirements into technical design documents
  • Demonstrated ability 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
  • Bachelor's or Master's degree in a technical subject is preferred

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by contacting us.

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