Databricks
Sr. Product Manager, Data + AI Observability
Databricks, Seattle, Washington, us, 98127
RDQ126R55
Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?
As the Product Manager for AI Observability, you will own the roadmap for how we enable our customers to understand how their data and AI is working for them. Enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs. Develop a deep understanding of modern cloud infrastructure, gather requirements from customers who refine petabytes of data every day and deliver features that reduce the total cost of ownership.
This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
The impact you will have:
Make it incredibly simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
Drive the roadmap by working with customers to understand their highest priority challenges and what datasets will unblock it
Increase adoption by removing friction points however possible - integrations, partnerships, sample code, etc.
Collaborate with a wide range of Data and AI Product Managers at Databricks in two ways: 1) make it easy for them to surface important information about their features to customers, and 2) work to use their data and AI features to make it easier for customers to consume observability data.
Drive integration with popular tools and services in the broader data warehousing ecosystem
Drive launches with product marketing through blog posts, release notes, webinars.
Define and measure OKRs for your products
Improve the efficiency of customer workloads by improving the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.
Help Databricks gain the trust of CFOs and finance teams who want to ensure their dollars are being used wisely
What we look for:
Product Management experience with a passion for improving user experience
A knack for conveying ideas simply in written form.
The ability to lead customer conversations, write PRDs, determine success metrics, prioritize features, guide engineering and design work.
Experience working with large enterprises including Fortune 500
Familiarity with cloud platforms, e.g. AWS, Azure, GCP
Some data analysis skills (SQL or Python, in-product behavior analysis in Google Analytics, Heap or similar products)
Work well across multiple teams in the company
Bachelors degree in Computer Science or similar technical experience
Bring deep insights about the Databricks admin persona to the engineering and leadership teams by working closely with our customers and field
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Zone 2 Pay Range: $109,500—$194,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
#J-18808-Ljbffr
Companies are investing billions of dollars into developing and deploying AI and the data platforms that enable it. But do they know what is happening?
As the Product Manager for AI Observability, you will own the roadmap for how we enable our customers to understand how their data and AI is working for them. Enable some of the world's biggest companies to conduct their DevOps, FinOps, SecOps and AIOps jobs. Develop a deep understanding of modern cloud infrastructure, gather requirements from customers who refine petabytes of data every day and deliver features that reduce the total cost of ownership.
This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
The impact you will have:
Make it incredibly simple for customers to answer questions about their Databricks environment by providing a reliable and timely interface for observability
Drive the roadmap by working with customers to understand their highest priority challenges and what datasets will unblock it
Increase adoption by removing friction points however possible - integrations, partnerships, sample code, etc.
Collaborate with a wide range of Data and AI Product Managers at Databricks in two ways: 1) make it easy for them to surface important information about their features to customers, and 2) work to use their data and AI features to make it easier for customers to consume observability data.
Drive integration with popular tools and services in the broader data warehousing ecosystem
Drive launches with product marketing through blog posts, release notes, webinars.
Define and measure OKRs for your products
Improve the efficiency of customer workloads by improving the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.
Help Databricks gain the trust of CFOs and finance teams who want to ensure their dollars are being used wisely
What we look for:
Product Management experience with a passion for improving user experience
A knack for conveying ideas simply in written form.
The ability to lead customer conversations, write PRDs, determine success metrics, prioritize features, guide engineering and design work.
Experience working with large enterprises including Fortune 500
Familiarity with cloud platforms, e.g. AWS, Azure, GCP
Some data analysis skills (SQL or Python, in-product behavior analysis in Google Analytics, Heap or similar products)
Work well across multiple teams in the company
Bachelors degree in Computer Science or similar technical experience
Bring deep insights about the Databricks admin persona to the engineering and leadership teams by working closely with our customers and field
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Zone 2 Pay Range: $109,500—$194,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
#J-18808-Ljbffr