Staff Product Manager, Risk Platform

Plaid•San Francisco, CA

10d•$207,600 - $306,600

About The Position

We protect the integrity of Plaid's network and authentication surfaces. We keep bad actors, synthetic and stolen identities, and low-quality data-partner traffic off the platform so that the millions of connections Plaid powers stay trustworthy. We build Plaid's internal risk platform: detection, scoring, and real-time decisioning and we're the foundation every other Plaid product depends on. You own Plaid's internal network-health and risk platform — how we detect, score, and act on risky traffic across our 10,000+ data-partner integrations. You set the roadmap, define the block/step-up/allow decisioning framework, and partner directly with the Data Science and MLE and operations team to sharpen detection precision. This is a platform PM role: your customer is the network itself, and your output is a measurably safer, higher-quality data supply.

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.

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
You define and 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 — this PM doesn't wait for an analyst to tell them what's happening.
Span multiple risk problem categories simultaneously: data-partner supply risk, authentication risk/correctness, and AQO — owning one coherent roadmap across all three.