Senior Product Manager, Data Engineering
Mountain View, United States
Applications have closed
Atlassian
Atlassian's team collaboration software like Jira, Confluence and Trello help teams organize, discuss, and complete shared work.
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 from an office (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.
Your future team:The cloud platform team is redefining how hundreds of thousands of companies get their work done. At the core of that transformation is data. We are strengthening our data story across our suite of cloud products with a fresh focus on how we securely store and exchange customer data.The Data team at Atlassian builds platforms and services crafted to serve internal and external customers, ensuring that data can be easily and securely produced, exchanged, and stored. We give easy, federated, secure access to all data across Atlassian, so we can scalably deliver ML and insights to millions of users.We are looking for a strong Senior Product Manager to join our team. In this role, you will be responsible for planning and delivering data engineering work for our internal product teams that emit data into our data lake to be used by Atlassian Analytics.
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.
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 from an office (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.
Your future team:The cloud platform team is redefining how hundreds of thousands of companies get their work done. At the core of that transformation is data. We are strengthening our data story across our suite of cloud products with a fresh focus on how we securely store and exchange customer data.The Data team at Atlassian builds platforms and services crafted to serve internal and external customers, ensuring that data can be easily and securely produced, exchanged, and stored. We give easy, federated, secure access to all data across Atlassian, so we can scalably deliver ML and insights to millions of users.We are looking for a strong Senior Product Manager to join our team. In this role, you will be responsible for planning and delivering data engineering work for our internal product teams that emit data into our data lake to be used by Atlassian Analytics.
You'll focus on:
- Modeling and delivering a wide variety of heterogenous product data into our data lake
- Landing stateful product data into our data lake
- Defining and influencing how the use of data in our data lake is governed
- Transforming and landing data to Atlassian Analytics for our end customers
- Working with Atlassian Analytics to support the product launch and subsequent phases of delivery
- Ensuring that our internal platform delivery aligns with our public, customer-facing roadmap
On your first day, we'll expect you to have:
- Several years of product management and/or data science experience, ideally at a fast-growing software company
- Familiarity with enterprise data engineering capabilities, e.g., pipelines, data and analytical modeling, data quality frameworks and the tech that enables them
- Deep analytical experience and a passion for data, combined with a systems-thinking approach
- Experience prioritising opportunities, defining features, and launching capabilities that meet the needs of our customers and the business
- Ability to paint a compelling vision and set goals to inspire your teams and partners
- Strong track record of building relationships and influencing at all levels of the organisation
It's great, but not required if you have:
- 7+ years in a Product Manager role in B2B Enterprise software
- Experience with established data engineering concepts and tools such as Databricks, Spark, elastic search indices, and/or data mesh frameworks.
- Experience driving unified data schemas across many cloud products and microservices
- BE/BS/BA with an emphasis in technology, data engineering, or data science
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.
Tags: Databricks Data quality Engineering Machine Learning Microservices Pipelines Spark
Perks/benefits: Travel
Region:
North America
Country:
United States
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Categories:
Engineering Jobs
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