Sr. Product Manager, GenAI Platform & Tools

Posted 2 Days Ago
Be an Early Applicant
San Francisco, CA
115K-204K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
As a Senior Product Manager on the Mosaic AI team at Databricks, you will own the model training product and its roadmap, leveraging customer insights and market research to drive product features while collaborating with engineering teams and senior leaders to ensure customer needs are met and business goals achieved.
Summary Generated by Built In

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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. 

More about the team: 

The rapid advancements in AI over the past year have ignited a race for companies to become AI-driven and leverage the power of Generative AI (GenAI). A key factor in building successful GenAI solutions is data intelligence—combining enterprise data with general-purpose models to achieve high-performing AI systems.

To address this crucial need, the Databricks Mosaic AI team has developed an innovative model training platform that empowers our customers to:

  • Build high-quality AI models tailored to their specific use cases
  • Gain deep insights into offline model performance through powerful visualization tools
  • Accelerate deployment to production with our unified platform

This solution goes beyond what other market offerings provide, delivering a comprehensive approach to AI model development and deployment. As a pivotal product for Databricks, it is expected to play a critical role across multiple teams and drive the future of AI innovation within the company.

Join us on the Mosaic AI team and be at the forefront of redefining what’s possible with Generative AI. We’re seeking a dynamic and driven Product Manager who embodies an “own it” attitude, thrives on first principles thinking, and excels at influencing key stakeholders. 

The impact you will have:

  • You will own the model training product, roadmap, and business.
  • You will use a mix of customer interviews, data analysis, and market research to reach conclusions and drive alignment with your stakeholders, and then design product features to address them
  • You will work with our senior engineers to innovate and invent on behalf of customers, you will work with senior leaders to build sales enablement and go to market strategies, and you will work with customers to continue to understand their needs and refine our road map.

What we look for:

  • 5+ years of Product Management experience
  • Product managers who have demonstrated the ability to build, ship, and iterate on a product multiple times
  • Naturally curious product managers who are truth-seeking
  • First principles thinkers who can innovate from breaking problems down
  • Customer-obsessed product managers who make customers feel heard and help the team with customer empathy
  • Product managers who can quickly gain influence and collaborate with multiple stakeholders

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. For more information regarding which range your location is in visit our page here.


Zone 1 Pay Range

$115,400$204,200 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.

The Company
New York, NY
2,200 Employees
On-site Workplace
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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