Senior Machine Learning Product Manager

24 hours ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $180,000 - $200,000
Job Title

Senior Machine Learning Product Manager

Are you an expert in machine learning with experience in software product management?

Will you like to be part of a dynamic global team that creates innovative digital identity and device identification products?

About the Role

As a senior product manager, you will be responsible for managing a portfolio of machine learning-driven digital identity and device identification products. You will work closely with cross-functional teams to develop and maintain product ideas that solve customer problems.

Responsibilities

  • Leading product execution, development plans, and backlog management.
  • Working closely with cross-functional teams to develop and maintain product ideas that solve customer problems.
  • Identifying opportunities to improve our digital and device identifiers and insights.
  • Driving experimentation, optimization, and measuring outcomes using best practices.
  • Manage go-to-market strategies, ensuring product features and roadmaps are clearly communicated to all stakeholders.

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.
  • Bachelors or Masters degree in a technical subject is preferred.

Our company prioritizes inclusive leadership and equitable processes as part of our culture. We aim to have every employee be their best version.

We welcome applications from diverse backgrounds and underrepresented groups. We are an equal opportunity employer.

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