Staff Product Manager, ML Ops/MLFlow

Key Skills

MLflow, MLOps tools, Product Management

Job Description

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

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.