What is the type of contract for this position?

The contract for this position is a Full-time contract

What's the salary range for the Staff Product Manager, ML Ops/MLFlow position?

The suggested salary for this position is $157,884 - $204,500*

Is telecommuting possible for this position?

No, telecommuting is not possible for this position

Staff Product Manager, ML job at Databricks

At Databricks, we are passionate about helping data teams 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:

Databricks Lakehouse AI platform is designed to deeply integrate with the Databricks Unity Catalog to improve model quality and simplify the model building experience. MLOps plays a central role in ensuring that these models are effectively managed and can be quickly deployed with minimal additional effort. As the Product Manager for MLOps, you will help steer Databricks investments and establishing the vision for our future product offerings.

In addition, you will be responsible for leading our work with MLflow, an industry-standard open-source MLOps project with over 10 million monthly downloads. In this role, you will cultivate the project's growth and evolution, shaping its direction to meet the needs of our global user and development community. Your leadership will ensure the synergy between our commercial product development and the open-source project, further strengthening Databricks' position as a key player in the data and AI space.

The impact you will have:

Capitalize on this strategic point of differentiation by continuing to drive innovation, simplification, performance, and usability.
Drive the product vision, strategy, and roadmap for MLOps, aligning it with Databricks' broader business objectives.
Collaborate with cross-functional teams including engineering, design, and marketing to build and deliver user-friendly features.
Act as the voice of the customer, integrating user feedback into product design to meet customer needs and enhance user satisfaction.
Drive adoption and usage of MLflow and our MLOps tools, working closely with sales and customer success teams.
Monitor and analyze product performance, competitive landscape, and market trends, using these insights to drive product improvements and identify new opportunities.

What we look for:

4+ years of experience leading technically complex software products.
An accomplished product leader with prior experience launching and growing an enterprise software products
Experience with the AI and/or data businesses.
Experience recognizing customer needs, create an encapsulating product vision, translate requirements to product specifications, drive alignment with stakeholders, build and bring products to market, and drive adoption post-launch
Ownership and get-stuff-done attitude
Strong bias to ship products by understanding the most critical aspects to make the product successful
Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.
Passion for designing products that simplify user experience of technically complex products.

Benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance

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 2 Pay Range

$124,600—$220,400 USD

About Databricks

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

Staff Product Manager, ML Ops/MLFlow

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