Product Manager, Fraud Signals & Insights

The Role

We are looking for a Product Manager to drive the delivery of Middesk's Fraud Signals & Insights products. This role sits at the core of how we provide intelligence to customersowning the delivery of model-based products with engineering and data science. You'll take strategic direction from the product line lead, and then translate it into executionworking closely with engineering and data science to build, ship, and scale signals, scores, and risk models that customers can trust.

Fraud and risk will be your primary focus, but over time this team will expand to deliver broader insights that help customers make better decisions with Middesk data.

We follow a hybrid work model, and for this role, there is an expectation of 2-3 days per week in our NYC office. Candidates should be based within a commutable distance, as we believe in the value of in-person collaboration and building strong team connections while also supporting flexibility where possible.

What You'll Do

Own the strategy and roadmap for Middesk's Fraud Signals & Insights platform.

Work closely with data science to design, develop, and ship new fraud and risk models into production.

Partner with engineering to ensure signals and scores are delivered with high reliability, performance, and scalability.

Define requirements for model development, including data inputs, performance thresholds, monitoring, and customer-facing outputs.

Drive customer discovery with risk teams to understand fraud workflows, decisioning needs, and gaps in current signal coverage.

Establish success metrics for signals and models, such as precision / recall, false positive rates, adoption, and business impact.

Translate model outputs into usable, explainable, and actionable insights for customers.

Build feedback loops from customers back into model development and refinement.

Ensure insights extend beyond fraudexpanding into broader decision intelligence as opportunities emerge.

Stay ahead of the market by monitoring fraud patterns, regulatory developments, and advances in ML for fraud detection.

What We're Looking For

5+ years of product management experience, with significant focus on fraud, risk, or ML / insights products.

Deep familiarity with fraud detection, scoring, signals, and risk workflows.

Proven success partnering with data science to build and launch production ML models.

Strong technical fluencycomfortable discussing data pipelines, model performance metrics, and APIs with engineers and scientists.

Track record of shipping data-driven or model-based products to customers at scale.

Customer-centric mindsetable to connect model performance to real-world impact in customer workflows.

Strong analytical and problem-solving skills, with an ability to define metrics and measure impact.

Comfortable operating in a fast-paced environment, balancing execution with longer-term platform vision.

Nice To Have

Experience in B2B SaaS within Fintech, Identity, Risk & Fraud.