Xero logo

Engineering Manager - Machine Learning - Xero

View Company Profile
Job Title
Engineering Manager - Machine Learning
Job Location
Melbourne, AU
Job Description
Xero is a beautiful, easy-to-use platform that helps small businesses and their accounting and bookkeeping advisors grow and thrive.

At Xero, our purpose is to make life better for people in small business, their advisors, and communities around the world. This purpose sits at the centre of everything we do. We support our people to do the best work of their lives so that they can help small businesses succeed through better tools, information and connections. Because when they succeed they make a difference, and when millions of small businesses are making a difference, the world is a more beautiful place.

About the team

The AI Products group collaboratively researches and develops products that use AI and ML that help small businesses and their advisors focus on what matters, by reducing toil, delivering insight, and bringing the best of Xero to wherever they work.
Working within the Data & Science team, you will join a diverse, globally distributed team of scientists, engineers, product managers, and analysts who help Xero use data to create beautiful, impactful products.

ML Engineering Managers guide the teams that build the services behind our AI products that serve millions of customers.

They are responsible for setting the culture within teams, and developing the ways of working that enable Xero to deliver scalable, reliable, and extensible applications sustainably.
You will also work closely with leaders in Applied Science to understand and plan for the implications of research developments on the product delivery roadmaps. Managers also are accountable for the growth and development of talent within their teams.

What you'll do:
  • Communicate and distill company-level objectives and makes them relevant to the teams you manage
  • Shape the annual delivery roadmap for AI Products
  • Manage the cross-functional delivery of AI products spanning multiple delivery teams
  • Own the design & implementation of day to day processes that manage delivery risk and keep teams aligned to their priorities
  • Drive the behavioural and cultural standards within your teams
  • Communicate the teams progress and impact both within the Data & Science organisation and across Xero
  • Build Xero's profile in market through public facing content and events

  • About you:
  • You have experience delivering complex software systems
  • You are drawn to the complexity of managing multi-team, cross-functional delivery
  • You are comfortable developing processes that help teams be more effective, adapting known frameworks to suit the individuals in a team
  • You are willing to dive into the unknown, and allow new information to change your decisions
  • Constant learning and growth are an important part of who you are
  • You are always willing to learn from others and ask for help

  • What you'll bring with you:
  • An understanding of coding and system design in Python (or similar) for web scale data and AI applications
  • An understanding of ML engineering and MLOps
  • Experience developing early and mid-career software engineers
  • Experience developing tailored delivery processes for engineering teams
  • Excellent written and verbal communication skills for communicating technical concepts to technical and business stakeholders

  • Everything You Need, One Platform.

    From job listings to startups, investors to funding rounds, and everything in between, Employbl puts the power in your hands. Why wait?

    Start your free trial today!

    Stay Ahead of the Curve

    Sign up for our newsletter to stay informed about the latest startups and trends in the tech market. Let Employbl be your guide to success.

    Xero Headquarters Location


    View on map

    Xero Company Size

    Between 2,000 - 10,000 employees

    Xero Founded Year


    Xero Total Amount Raised


    Xero Funding Rounds

    View funding details
    • Post Ipo Equity

      $26,400,000 USD

    • Post Ipo Equity

      $110,800,000 USD

    • Post Ipo Equity

      $150,000,000 USD

    • Post Ipo Equity

      $49,000,000 USD

    • Post Ipo Equity

      $16,600,000 USD

    • IPO


    • Post Ipo Equity

      $3,000,000 USD

    • Post Ipo Equity

      $13,595,300 USD