Department: Product

The Product organization at Signifyd leads the vision, strategy, and execution of our product portfolio. We work at the intersection of technology, design, and go-to-market to build solutions that help some of the world’s largest retailers grow confidently in the face of fraud, abuse, and operational complexity.

The Role 

At Signifyd, product leadership and business outcomes are inseparable. The Senior Director, Product – AI Performance & Risk owns the two metrics that define the company’s success: loss rates and conversion.

Signifyd guarantees every approved order. When fraud occurs, the company pays for it. That means the performance of our AI systems directly determines our business economics.

This leader owns the product engine behind those decisions. You will lead the product organization responsible for the models, data systems, and decisioning infrastructure that determine whether billions of dollars in ecommerce transactions are approved or declined.

Reporting to the Chief Product Officer, you will partner closely with the CTO, Chief Risk Officer, and CEO to drive Signifyd’s next phase of AI performance and product innovation.

You will lead a team of senior product managers and work closely with engineering, data science, and risk teams to continuously improve the systems that power Signifyd’s real-time decisions.

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Outcomes You Own: 

This role is accountable for three outcomes that directly determine Signifyd’s business performance.

Loss Rates

Signifyd guarantees every approved order. Loss rate is therefore not just a metric; it represents real dollars paid out when fraud occurs.

You will own the models and risk decisioning systems responsible for maintaining industry-leading performance while scaling across billions of dollars of merchant GMV.

Conversion

Conversion rate is the primary metric enterprise merchants care about. Improving conversions while maintaining strong loss performance is one of the most powerful levers in ecommerce.

Improving conversion requires improving decision quality across the full stack, including Authorization Rate Optimization (ARO) at the issuer and bank layer where many false declines originate.

Next-Generation AI in Production

Signifyd’s current modeling foundation has delivered strong results at global scale.

The next phase requires deploying new modeling architectures capable of leveraging our commerce identity network of 90+ billion identities with the depth of data across the entire customer journey.

The standard is production systems that deliver measurable improvements in loss rates and conversion.

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What You Will Lead

You will lead a team of Product Managers who drive product strategy and execution across five core systems that together power Signifyd’s AI decisioning platform.

Signifyd AI Lab (SAIL)

SAIL is Signifyd’s AI research and modeling organization. It develops and evaluates new model architectures and prepares them for production deployment.

You will help set the research agenda and ensure a tight loop between modeling innovation and commercial impact.

Risk Platform

The Risk Platform is Signifyd’s real-time decisioning engine, executing approve/decline decisions in under 500 milliseconds.

You will drive the product roadmap that enables the platform to support increasingly sophisticated models while maintaining the speed and reliability enterprise merchants require.

Feature System

The feature system transforms raw network data into signals used by production models.

With more than 10,000 features in production, the coverage, freshness, and quality of this layer directly determines the ceiling of model performance.

You will drive the expansion and improvement of this system.

Data Infrastructure

The performance of every model depends on the quality and availability of data.

You will guide the evolution of the systems that ingest, process, store, and serve the data that powers Signifyd’s identity network and decisioning models.

Authorization Rate Optimization (ARO)

ARO improves approval rates at the issuer and bank layer, where many transactions are declined before merchants ever see them.

You will lead product strategy for ARO, working across payment networks, merchant integrations, and internal data capabilities to unlock additional conversion for merchants.

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What Success Looks Like in Year 1

Within the first year, this leader is expected to deliver measurable impact across several areas:

• Improved loss rate performance while maintaining strong approval rates
• Meaningful conversion improvements across enterprise merchants
• Deployment of new modeling capabilities into production
• Faster cycle time from model research to live decisioning impact
• Strong product leadership across AI, risk, and decisioning systems

Success in this role means translating technical innovation into measurable improvements in merchant outcomes.

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Who You Are

The profile required for this role is rare. The strongest candidates combine technical depth, commercial judgment, and operational leadership.

You operate like an owner

You are comfortable owning outcomes that have direct economic impact. You measure success by business results, not roadmap completion.

You are a product leader with strong commercial instincts

You understand how product decisions translate into revenue, loss economics, and merchant value. You are comfortable working directly with merchants and discussing model performance, risk economics, and conversion strategy.

You have led in technically complex environments

You do not need to be a machine learning engineer, but you have led teams that build and deploy ML systems. You can distinguish between research progress and production readiness.

You move with urgency

You value speed from insight to production impact. In systems where data advantages compound over time, velocity becomes a competitive advantage.

You are a strong people leader

You will lead a team of senior product managers with deep expertise and strong opinions. You create clarity on priorities, set a high bar for outcomes, and earn trust through judgment and execution.

Preferred Background

• 10+ years of product leadership experience
• Ownership of PMs or teams that drive major product areas
• Experience in fintech, payments, ecommerce, fraud, or AI-driven