Sr. Product Manager, Technical

Reposted 25 Days Ago
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Seattle, WA
In-Office
133K-186K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Sr. Product Manager, Technical role focuses on product improvements, AI performance benchmarks, and collaboration between technical and product teams.
Summary Generated by Built In

RDQ326R306

As a product manager - technical, you will work with other product managers and technical field teams to help ensure that the product features that we design and ship offer the best user experiences and meet the highest user performance requirements. 

This challenging role will require you to measure both the functional and non-functional capabilities of our customers' workloads and the technologies that they employ to address them. This includes products and platforms outside the Databrick’s ecosystem. Equipped with this analysis, you will then examine in minute detail the experience fulfilling these workloads on Databricks and then detail the product improvements we can make to make Databricks even simpler and more powerful to use.

You will also be a bridge between the technical field teams and the product and engineering teams. You will ensure the product improvements are well presented to the field. 

The impact you will have:

  • Use your technical and product experience to identify and determine product improvements
  • Establish and help run AI performance benchmarks
  • Prioritize and work on an impactful product roadmap
  • Help take the product to market and guide its adoption

What we look for:

  • 5+ years of experience of strong, hands-on technical background
  • Empathy for customers, especially data engineers, data analysts, and data scientists
  • Domain expertise in ML and Gen AI
  • Strong experience training and evaluating AI  models and agentic systems
  • Experience analyzing and quantifying different technology's capabilities at a deep level
  • Experience writing Python
  • Experience with systems design and architecture
  • Experience working with both product and technical teams

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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. For more information regarding which range your location is in visit our page here.


Zone 2 Pay Range
$133,000$186,100 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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At 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 https://www.mybenefitsnow.com/databricks. 

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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If 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.

Top Skills

AI
Data Analytics
Data Engineering
Machine Learning
Python
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The Company
New York, NY
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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