Product Manager, Data Traffic & Health — Equity & Impact

Plaid

New York (NY)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Equity
401(k) benefits

Job summary

Plaid is looking for a Product Manager for Data Supply Health and Traffic to define how Plaid allocates constrained provider capacity and scales traffic across products. You will own the strategy, roadmap, and paid-data economics, collaborating with engineering and data-provider teams to translate constraints into product priorities and measurable outcomes.

You will lead cross-functional initiatives to improve data freshness, cost efficiency, and reliability, balancing capacity with product

Qualifications

  • 8+ years of experience, including 5+ in product management or equivalent founder/operator roles.
  • Analytical rigor and proficiency with data, cost models, and metrics.
  • Deep technical fluency in large-scale systems, load management, and API platforms.

Responsibilities

  • Define and own Plaid's strategy and roadmap for data-supply traffic, health, and cost efficiency.
  • Build and prioritize traffic-optimization initiatives leveraging ML models.
  • Bridge between Plaid's data-provider relationship teams and internal product teams, translating provider constraints into internal priorities.
  • Partner with engineering and data teams to understand system behavior and make informed decisions.
  • Establish and track core traffic and cost metrics to identify risks and measure progress.

Skills

8+ years exp
Product management
Analytical rigor
Technical fluency
Cross-functional leadership

Job description

Plaid is looking for a Product Manager for Data Supply Health and Traffic to define how Plaid allocates constrained provider capacity and scales traffic across products. You will own the strategy, roadmap, and paid-data economics, collaborating with engineering and data-provider teams to translate constraints into product priorities and measurable outcomes.

You will lead cross-functional initiatives to improve data freshness, cost efficiency, and reliability, balancing capacity with product

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