Senior Product Manager, App Recommendations

Atlassian

Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

The Distribution Network team is reimagining how millions of knowledge workers discover and adopt the right tools to increase productivity and achieve team goals. This team has a vision to make customers more productive by allowing them to discover relevant, software.

An important part of this vision is to build a data-driven recommendation engine at scale, connecting Atlassian users to the Atlassian products, partner products and Atlassian marketplace apps specific to their needs. With customer centricity always at the core we are unleashing the potential of hundreds of thousands of teams around the world through machine learning recommendations.

We are looking for an experienced Senior Product Manager to join our team.

 

In this role, you will:

 

  • Lead the creation of an ML-driven recommendation product and connecting it to a customer-centric experience
  • Influence partner teams and leaders by creating a compelling vision and executable strategy
  • Partner with our data teams informing the requirements of recommendation models
  • Partner with growth and product teams to experiment with data models and customer experiences
  • Report to our Sr. Group Product Manager on our Distribution Network team under the greater Economy team
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    On your first day, we’ll expect you to have:

     

  • 5+ years of product management experience (B2B / Saas environment)
  • Background in building relationships and influencing at all levels
  • To create a compelling vision, long-term strategy, crisp storytelling and backed with qualitative and quantitative data
  • Balance customers needs with our needs and communicate the rationale behind decisions
  • A bias for moving fast, whilst not compromising quality
  • Experience transitioning between the high-level vision work and the ground-floor tactical work
  • Present to executive leadership teams and discuss technical problems with your engineers
  • An articulation for translating requirements to technical stakeholders and visa versa
  • Exposure to data related capabilities allowing for a tight partnership with our data team counterparts. You can debate with data scientists and analysts on how to best use machine learning and algorithms to grow customer-centric recommendations
  • Push at the edges of status quo and see failure an as opportunity to grow
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    It’s great, but not required, if you have:

     

  • Experience working with data analysts to Identify opportunities
  • Experience applying algorithms and machine learning to provide recommendations
  • Experience with marketplaces or 3rd party ecosystems
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    Our perks & benefits
    To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
    About Atlassian
    The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we’re motivated by a common goal: to unleash the potential of every team.
    We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
    To learn more about our culture and hiring process, explore our Candidate Resource Hub.
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