Staff Product Manager, AI & Data Foundations

Plaid

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Francisco, CANew York, NY
Salary
$207,600–$339,600 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $274k
$161k most similar roles pay here $359k

This role pays more than 93% of similar roles. Most pay $189,031–$243,625 — the shaded band above. At the midpoint, this role pays about $274k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Plaid

Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure

Plaid currently has 61 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 61 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Staff Product Manager, AI & Data Foundations

Staff Product Manager - AI & Data Foundations joins the AI & Data Foundations team to build shared platforms powering internal data and AI capabilities. This role involves taking capabilities from zero to one by partnering with data, ML, and platform engineers to develop infrastructure including an LLM gateway, evaluation infrastructure, Databricks, and AI-powered data tooling. The manager defines vision, roadmaps, and success metrics while focusing on developer experience, adoption, and removing workflow friction. Key responsibilities include designing pipelines, ensuring quality and governance, and balancing immediate needs with long-term platform investments. The ideal candidate possesses deep technical fluency in modern data and AI/ML systems, including model deployment and monitoring. They must be skilled at translating complex technical trade-offs into clear narratives for stakeholders while building scalable primitives, APIs, and frameworks within the intersection of data infrastructure and artificial intelligence.

What does a Product Manager earn in California?

Median $221750 from 237 postings across 48 companies.

See salary data

What you'll do

  • Define the vision, roadmap, and success metrics for shared AI and data platforms.
  • Partner with engineers to design and ship infrastructure for LLM gateways, evaluation tools, and data pipelines.
  • Build internal developer tools that reduce friction and improve developer velocity across the company.
  • Balance immediate product needs with long-term investments in standardized platform primitives and infrastructure.
  • Identify and integrate shared capabilities across product, engineering, research, and security teams.
  • Translate complex technical trade-offs into clear narratives for both technical and non-technical stakeholders.
  • Convert ambiguous, early-stage problems into concrete products and measurable adoption metrics.

What we're looking for

  • 8+ years of product management experience including building AI/ML platform systems, applied intelligence products, or data infrastructure from concept to production.
  • Deep technical fluency in modern data and AI/ML systems, including storage, processing, model development, evaluation, deployment, and monitoring.
  • Demonstrated success operating in ambiguous, early-stage environments to turn loosely defined problems into shipped capabilities and measurable impact.
  • Experience building scalable developer or data platforms through well-designed primitives, APIs, and frameworks.
  • Ability to translate complex technical concepts into clear narratives for both technical and non-technical stakeholders.
  • Commitment to responsible AI and transparency in regulated or high-trust domains.
  • Hands-on experience with LLMs, embeddings, or agentic systems in production (preferred).
  • Experience building AI developer tooling in production or familiarity with applied AI in fintech, identity, or risk (preferred).

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