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PlaidPlaidSan Francisco, CA

Staff Product Manager, Risk Modeling

Own Plaid's internal risk and network-health platform as a technical PM. Set the DS/MLE roadmap for detection and scoring, own real-time block/allow decision frameworks, partner closely with Data Science and ML Engineering teams, and define OKRs around risky traffic reduction and authentication correctness. Requires 6+ years PM experience with hands-on ML/risk modeling background.

208k – 307k/yr
Hybrid6+ YOEProduct Management

About the role

Responsibilities

  • Define and prioritize the DS/MLE roadmap for network-health detection — articulate model investment needs, own precision/recall tradeoff decisions, and translate model outputs into real-time product actions.
  • Build and own the data-driven framework for real-time block-vs-allow decisions, balancing network quality against customer and commercial impact.
  • Aggregate requirements across risk engineering, fraud & abuse operations, and data partners into a single prioritized roadmap.
  • Define how to measure Network Health.
  • Own the team’s OKRs (risky-traffic detection/step-up; ATO reduction, Authentication correctness).
  • Define and recommend Plaid’s risk-versus-conversion posture, partnering with company leadership to set clear, data-backed thresholds for when to allow, step up, or block traffic.
  • Get hands-on with data: run light investigations yourself, pull signals, and ground product decisions in evidence.
  • Span multiple risk problem categories simultaneously: data-partner supply risk, authentication risk/correctness, and AQO — owning one coherent roadmap across all three.

Requirements

  • 6+ years in product management, ideally on internal risk, trust & safety, fraud, or identity platforms.
  • Hands-on technical depth: detection signals, precision/recall tradeoffs, light data analysis/investigation.
  • Experience building ML based products / insights.
  • Proven partnership with Data Science / MLE teams on risk models.
  • Experience with risk decisioning, KYC, synthetic/stolen-identity detection, or ATO.
  • Clear product requirements; strong cross-functional alignment.

Nice-to-Haves

  • Experience in a sophisticated internal risk org at a large fintech/bank/marketplace.
  • Former risk analyst / DS / investigator who moved into PM; familiarity with bank data / open finance.

Skills

Product ManagementRisk ModelingMachine LearningData SciencePrecision/Recall TradeoffsRisk DecisioningKycFraud DetectionData AnalysisOkrsRoadmap Prioritization
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