Sr. Product Manager, Data + AI Observability
Company: Databricks Inc.
Location: Seattle
Posted on: October 27, 2024
Job Description:
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.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.
- Bachelor's 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.What is it like to be a PM at Databricks?Zone 2
Pay Range: $109,500 - $194,000 USD.About DatabricksDatabricks is
the data and AI company. More than 10,000 organizations worldwide -
including Comcast, Cond-- 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.BenefitsAt Databricks, we strive to provide
comprehensive benefits and perks that meet the needs of all of our
employees. For specific details on the benefits offered in your
region, please visit .Our Commitment to Diversity and InclusionAt
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.ComplianceIf access to export-controlled
technology or source code is required for performance of job
duties, it is within Employer's discretion whether to apply for a
U.S. government license for such positions, and Employer may
decline to proceed with an applicant on this basis alone.
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Keywords: Databricks Inc., Redmond , Sr. Product Manager, Data + AI Observability, Executive , Seattle, Washington
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