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Advanced Ai Platform Product Manager Jobs (NOW HIRING)

Databricks is a data and AI company that empowers data teams to tackle complex challenges through its advanced data and AI infrastructure platform. The Staff Product Manager for the AI Platform will ...

Sr. Platform Product Manager, AI Platform

Irving, TX · On-site

$117K - $155K/yr

The Opportunity We are looking for an impact-driven, Senior Product Manager within our AI Products and Insights team, to build the next-generation AI Platform that powers intelligent, agent-driven ...

Sr. Platform Product Manager, AI Platform

Stamford, CT · On-site

$134K - $178K/yr

The Opportunity We are looking for an impact-driven, Senior Product Manager within our AI Products and Insights team, to build the next-generation AI Platform that powers intelligent, agent-driven ...

Senior Platform Product Manager (AI) Location: Austin, TX (Hybrid) | Remote (US) Considered Pulse Group are partnered with an AI-native B2B SaaS company that's redefining how an entire industry ...

The Opportunity & About the Team As a Product Manager, AI Platform at Zuora, you will define and ... Advanced degree in Computer Science, AI/ML, or a related field Benefits Zuora offers a ...

The Opportunity & About the Team As a Product Manager, AI Platform at Zuora, you will define and ... Advanced degree in Computer Science, AI/ML, or a related field Benefits Zuora offers a ...

Platform Product Manager

OR · On-site +1

$130K - $190K/yr

We are hiring a Platform Product Manager to own and evolve foundational platform capabilities ... This role sits at the center of how our enterprise AI platform scales: who can access what, how ...

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Advanced Ai Platform Product Manager information

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$51.5K

$159.4K

$197K

How much do advanced ai platform product manager jobs pay per year?

As of Jul 19, 2026, the average yearly pay for advanced ai platform product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is the difference between Advanced Ai Platform Product Manager vs Data Scientist?

AspectAdvanced Ai Platform Product ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI product managementBachelor's/Master's in Data Science, Statistics, or related; proficiency in programming and analytics
Work EnvironmentCross-functional teams, product development, strategic planningData analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprises integrating AI productsResearch institutions, tech companies, analytics firms

The Advanced Ai Platform Product Manager focuses on overseeing AI product development, strategy, and cross-team coordination, while Data Scientists primarily analyze data, develop models, and generate insights. Both roles require technical skills, but their core responsibilities differ significantly in scope and focus.

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Staff Product Manager, AI Platform

Staff Product Manager, AI Platform

Databricks

San Francisco, CA • On-site

Full-time

Re-posted 15 hours ago


Job description

Job Summary:
Databricks is a leading data and AI company focused on enabling organizations to utilize data insights for business improvement. The Staff Product Manager for the AI Platform will drive the vision and roadmap of AI platform product areas, collaborating with engineering teams to enhance customer adoption of AI and ML in production.
Responsibilities:
• You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.
• You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.
• You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems.
• You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.
• You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning.
• You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.
• You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.
Qualifications:
Required:
• 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services.
• Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus.
• You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers.
• Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems).
• Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals.
Preferred:
• Familiarity with recommendation systems is a bonus.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.