Staff PM, AI & Data Platform Foundations

Showcify, Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical benefits

401(k) retirement plan

Equity / additional compensation

Job summary

Plaid is seeking an experienced Product Manager to build shared AI and data platforms that power Plaid’s AI capabilities. You will partner with data, ML, and platform engineers to scale capabilities into reliable infrastructure across the AI and data stack.

You are technically fluent, strategic, and execution‑oriented, capable of turning emerging capabilities into practical primitives and tools used by other teams.

Qualifications

• 8+ years in product management for AI/ML platform systems or data infrastructure.
• Strong fluency with modern data/AI systems and architectures.
• Experience turning ambiguous problems into measurable outcomes.
• Able to operate in a fast-paced startup environment.
• Proven ability to design scalable developer or data platforms.

Responsibilities

• Define vision, roadmap, and success metrics for AI/data platforms.
• Collaborate with data, ML, and platform engineers to ship foundational capabilities.
• Improve internal developer experience and platform adoption and velocity.
• Balance short-term needs with longer-term platform investments.
• Lead cross-functional teams across product, engineering, data, and security.
• Translate complex technical decisions into clear narratives for stakeholders.

Skills

Platform PM

AI/ML systems

Data infrastructure

Cross-functional leadership

Developer experience

Tools

Databricks

AI tooling

LLM platforms

Job description

Plaid is seeking an experienced Product Manager to build shared AI and data platforms that power Plaid’s AI capabilities. You will partner with data, ML, and platform engineers to scale capabilities into reliable infrastructure across the AI and data stack.

You are technically fluent, strategic, and execution‑oriented, capable of turning emerging capabilities into practical primitives and tools used by other teams.