Sr. Director of AI Products

Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 10.6B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, the U.S. Treasury, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C.

Sayari's growing set of AI applications surfaces that serve investigators, compliance teams, and intelligence analysts worldwide. Each product sits on top of the Commercial World Model and the Judgment Ontology. The portfolio is expanding: agentic workflows, superagent infrastructure, and new application experiences that put assessed intelligence into the hands of defenders faster and with higher confidence.

We are hiring a Senior Director of Product to lead this pillar. You will own the product vision, roadmap, and team across an AI Product infrastructure and portfolio. You will report to the SVP of Product and lead a team of product managers.

This is not a single-product role. You will make portfolio-level tradeoffs: where to invest, where to hold, and where to say no. You will need to think at the platform layer and the application layer simultaneously.

• →Lead the product team. Manage, develop, and grow a team of product managers. Set the bar for discovery rigor, roadmap clarity, and shipping discipline. Build the team's capability alongside the products.
• →Own the portfolio roadmap. Set the 12-to-18-month product strategy across AI Products.. Make the investment tradeoffs explicit. Prioritize ruthlessly across products, not just within them.
• →Shape the agentic experience. Define how agentic workflows reason over the Commercial World Model and the Judgment Ontology: what they assess, how they explain their work, and where they hand off to a human analyst. The user's trust in the output depends on the quality of the provenance chain you design. Evaluation frameworks (how we measure whether agentic outputs are correct, complete, and defensible) are a first-order product concern.
• →Drive discovery with enterprise customers. Work directly with investigators, compliance officers, supply chain teams, and intelligence analysts at Fortune 500 enterprises, financial institutions, and government agencies. A customer advisory board and structured discovery process are already in place. You will use them and make them better.
• →Partner with engineering and design. Work closely with ML engineers, platform engineers, and the design team to understand the capabilities and constraints of our agentic architecture. Make sound product decisions at the model layer and the infrastructure layer, not just the interface.
• →Enable GTM. Build the product knowledge that sales and solutions engineering need to close enterprise deals. You will be in the room for late-stage evaluations.
• →Measure outcomes. Product analytics and an AI-based product team operating system are already in place. Define the metrics that tell you whether the portfolio is working. Use them to make decisions, not decorate reviews.

• Product leadership at scale. You have led a team of product managers and owned a multi-product portfolio. You know how to develop PMs, set standards, and make portfolio-level investment decisions.
• Agentic AI product experience. You have shipped products that use LLMs or agentic systems in production, at enterprise scale. You know the failure modes: hallucination, opaque reasoning, provenance gaps. You design around them. You understand why evaluation frameworks matter and how to build them into the product development lifecycle.
• Domain depth in investigations, risk, or intelligence. You have worked inside, or sold into, compliance, investigations, fraud, intelligence, KYB/KYC, AML, or a related discipline. You understand what an analyst or compliance officer actually needs to stand behind a decision. TPRM experience is valuable but not required if you bring depth in adjacent domains.
• Enterprise product instincts. You have led products with enterprise sales cycles, procurement requirements, and regulatory scrutiny. You know the difference between a feature customers ask for and a capability that changes a buying decision.
• Strong technical foundation. You can hold a substantive conversation with an ML engineer about model behavior, retrieval architecture, and evaluation design. You do not need to write the code, but you need to understand the tradeoffs.
• Communication that lands. You write clearly. You present to executives without padding. You can distill a complex technical capability into a single sentence that a Chief Compliance Officer will remember.