Sr. Product Manager, Databricks AI
Posted by employer 1 year ago
First seen on Joblaze 6 months ago
Last verified on the company career page 6 days ago
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Sr. Product Manager for Databricks AI, the individual will focus on defining and executing the vision for enterprise AI solutions, transforming innovative concepts into practical products. This position requires a strong technical foundation in AI and machine learning, along with proven experience in product management, particularly in fast-paced environments. Ideal candidates will have a track record of collaborating with engineering teams and engaging with stakeholders to drive product success. The Databricks AI team is dedicated to pioneering advancements that reshape how organizations utilize AI.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 28, 2026.
- This exact title is also open at 1 other location at Databricks: San Francisco, California.
- Salary band is below the typical range for Product roles (median ~$184,000).
- Starts above 11% of 102 comparable senior product roles in United States that list AI/ML we track (median $196,000 across 41 companies). See AI/ML salary trends
- AI/ML appears in 38.3% of 399 comparable senior product roles in United States; SaaS appears in 4% of 399 comparable senior product roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $148,800–$204,525 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Sr. Product Manager, Databricks AI role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, SQL, SaaS.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Product Manager, Databricks AI role at Databricks.
From the original posting
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At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses.
More about the Team:
The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI.
The impact you will have:
- Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet
- Turn breakthroughs into products: Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users.
- Expand what’s possible for customers: Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable.
- Be the voice of vision and execution: From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve.
- Build for scale and longevity: Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed.
What we look for:
- 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms.
- Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional).
- Proven ability to partner with senior engineers and research leaders, going deep on technical concepts while maintaining clarity on customer value.
- Track record of bringing products from vision to launch in fast-moving, competitive spaces.
- Strong analytical skills—comfortable working with SQL, product usage data, and operational dashboards.
- Excellent communication and storytelling skills to engage diverse stakeholders (customers, engineering, go-to-market).
- Bonus: exposure to building AI/ML or generative AI–powered products.
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.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.