Senior AI Product Manager

Signifyd is a company dedicated to empowering merchants in digital commerce by eliminating fraud and enhancing customer experiences. They are seeking a Senior AI Product Manager to lead the transition from experimentation to real-world impact for advanced AI and ML initiatives, focusing on translating model performance into business value and ensuring cross-functional alignment.

Responsibilities:

• Create Clarity on Impact & Outcomes
• Translate experimental and model‑level results into clear business impact (e.g., fraud loss reduction, automation lift, approval‑rate improvements, operational efficiency)
• Define what “success” means for each AI technique or model before it reaches production
• Frame why the work matters to internal stakeholders including Risk, Customer Success, Sales, Finance, and Executive Leadership
• Own the Path from Experimentation to Production
• Partner with Data Science to move models from offline experimentation to online testing and controlled rollout
• Help define evaluation frameworks, guardrails, and decision thresholds required for production use
• Ensure trade‑offs (accuracy, latency, cost, operational complexity) are explicit and intentional
• Drive Cross‑Functional Alignment
• Act as the primary product interface between SAIL, Risk, and Engineering
• Ensure there is a predictable process for ramping traffic, managing risk approvals, and resolving blockers
• Secure engineering capacity and infrastructure alignment by grounding asks in committed outcomes and timelines
• Build The “Path To Customer” For New AI Capabilities
• Identify which customer segments or merchants are realistic early adopters for new decisioning approaches
• Define the value story: what problem is solved, how success is measured, and what changes operationally for the customer
• Partner with Customer Success to estimate upside, prerequisites, and deployment complexity
• Execution, Communication, and Accountability
• Maintain a clear view of milestones, dependencies, risks, and decisions across active SAIL initiatives
• Keep stakeholders informed with the right level of detail to sustain momentum without over‑communicating
• Ensure experimental work does not stall due to ambiguity, misalignment, or lack of ownership
• What You’ll Work On (Examples)
• While exact projects will evolve, this role will typically involve:
• Translating advanced AI and ML experiments into clear product narratives and deployment plans
• Defining how new decisioning approaches integrate into existing systems, workflows, and risk controls
• Helping standardize evaluation, comparison, and rollout criteria across different modeling approaches
• Aligning model innovation with infrastructure realities such as cost budgets, latency constraints, and scalability requirements
• Ensuring internal teams understand what SAIL is building, when it will matter, and how it will show up for customers

Requirements:

• 6+ years of Product Management experience, with significant exposure to AI‑ or ML‑driven products
• Proven experience working closely with Data Science and Engineering on model‑centric systems
• Strong ability to translate technical performance into business and customer outcomes
• Comfort operating in highly ambiguous, fast‑moving environments
• Excellent written and verbal communication skills across technical and non‑technical audiences
• Strong sense of ownership, judgment, and bias toward action
• Experience with decisioning systems, risk models, or large‑scale ML platforms
• Familiarity with model evaluation, experimentation frameworks, and feedback loops
• Experience working in fraud, risk, trust & safety, or operationally‑constrained environments
• Background in scaling early or experimental products into production systems