Staff Product Manager (AI & Data Foundations)

Plaid; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Vibrant offices in SF, NYC, and RTP

Health benefits and parental leave

Home office stipends and commuting aid

Job summary

Plaid is seeking an experienced Platform Product Manager who thrives at the intersection of data infrastructure and AI. You will turn emerging capabilities into reliable platforms, primitives, and tools that teams can build on, guiding the future of Plaid’s AI foundations.

Own the vision, roadmap, and metrics for shared platforms supporting data and AI development, working with data, ML, and platform engineers to ship foundational capabilities across infrastructure, tooling, and governance.

Qualifications

• 8+ years of product management including building AI/ML platforms or data infrastructure from concept to production.
• Experience building AI developer tooling in production is a plus.
• Hands-on experience with LLMs, embeddings, or agentic systems in production.
• Strong communicator and cross-functional leader who translates complex tech concepts for stakeholders.

Responsibilities

• Define the vision, roadmap, and success metrics for shared platforms powering data and AI development across Plaid.
• Partner with data, ML, and platform engineers to design and ship AI infrastructure, tooling, data platforms, pipelines, and governance.
• Build platforms that Plaid teams choose to use; remove friction from workflows and measure adoption and reliability.
• Balance immediate product needs with long-term platform investments, standardizing and building shared primitives.

Skills

AI/ML platform development

Cross-functional leadership

LLMs & embeddings

AI developer tooling

Regulated/fintech domain familiarity

Technical storytelling

Data infrastructure fluency

Tools

APIs

Data platforms

Job description

• This role is for an experienced platform PM who is excited about the rapidly evolving intersection of data infrastructure and AI. You are technically fluent, strategic, and execution-oriented, and know how to turn emerging capabilities into reliable platforms, primitives, and tools that other teams can build on
• AI & Data Foundations Strategy: Define the vision, roadmap, and success metrics for the shared platforms that power data and AI development across Plaid
• Platform Development: Partner with data, ML, and platform engineers to design and ship foundational capabilities spanning AI infrastructure, developer tooling, data platforms, pipelines, quality, and governance
• Internal Developer Experience & Adoption: Build platforms that Plaid teams choose to use. Develop a deep understanding of internal users, remove friction from common workflows, and measure success through adoption, developer velocity, reliability, and quality
• Platform Evolution: Balance immediate needs from product teams with longer-term platform investments, identifying where Plaid should standardize, build shared primitives, enable experimentation, and/or leverage an existing external solution
• Cross-Functional Leadership: Partner with product, engineering, data, research, and security to identify shared needs and embed foundational AI and data capabilities across Plaid
• Communication & Alignment: Translate complex technical decisions and platform trade-offs into clear narratives that enable decisions across technical and non-technical stakeholders

Benefits

• Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
• Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
• Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft

Demonstrated success operating in ambiguous, early-stage environments, turning loosely defined problems into decisions, shipped capabilities, and measurable adoption or impactPlatform mindset and experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworksStrategic and executional range. Skilled at setting the long-term vision while also delivering near-term experiments, specs, prototypes, and launchesCommitment to responsible AI and transparency, especially in regulated or high-trust domainsAbility to operate in a fast-paced startup environmentDeep technical fluency in modern data and AI/ML systems, including how data is stored and processed and how models are developed, evaluated, deployed, and monitored. You can engage deeply with engineers and data scientists on architecture and technical trade-offs without needing to be the engineer in the room

• Familiarity with applied AI in regulated or high-trust domains such as fintech, identity, or risk
• 8+ years of product management experience including direct experience building AI/ML platform systems, applied intelligence products, or other data infrastructure from concept to production [Nice to Have]
• Experience building AI developer tooling in production [Nice to Have]
• Hands-on experience with LLMs, embeddings, or agentic systems in production
• Strong communicator and cross-functional leader who can translate complex technical concepts into clear narratives to drive decisions for technical and non-technical stakeholders