The company runs a network for trusted trade, using AI-powered products to help governments and businesses build a more resilient and secure global economy while keeping goods moving.
The rules of global trade are changing fast. Forced labor enforcement, semiconductor export controls, tariff swings, secure defense procurement, and allied economic security coordination all need new approaches. Governments need to see the full production history behind trade, not only the edge of it, and to work with the private sector to clear compliant trade while flagging suspicious activity.
Current tools lag behind. Customs agencies still focus on individual transactions and rely on paper-based trusted trader audits. Defense acquisition was designed for a slower era. Many agencies lack the tooling and data for fact-based policy research. This leaves governments unable to see what they need to know, which bad actors exploit, allies struggle to close together, and legitimate traders pay for through delays and compliance costs.
This role leads the team that decides how governments use the network for enforcement at the border, for understanding complex supply chains, for working with allies, and for shaping trade policy and economic security decisions. The team will work with internal experts on government operating cadence to shape product and roadmap, and aims to become the core infrastructure governments turn to for trusted trade.
Responsibilities
Set the product vision for the three public sector product areas: customs and border management for goods, defense resilience and acquisition, and economic security and policy.
Decide how the platform is deployed to governments across different regions, security requirements, and compliance boundaries.
Build one platform and architecture that serves multiple governments.
Work with the company's other product areas to deliver core capabilities in ways that suit public sector users.
Help customs authorities move from transaction-by-transaction work, repetitive tasks, and adversarial sampling toward an agent-native intelligence layer that uses ML and AI for collaboration, review, and policy enforcement.
Build automated validation tools that address the tax gap, including duty evasion, misdeclared origin, and undervaluation, without slowing legitimate trade.
Own the integration and workflow layer so the platform works alongside existing government systems and feels like a native capability rather than a separate integration project.
Create economic security tools that show supply chain concentration, map strategic dependencies, model the effects of tariff and export control policy, and support coordination with allied governments on shared risk.
Build a Policy Workbench that helps trade analysts, national security staff, and senior policymakers turn raw supply chain data into evidence-based conclusions about a sector, country, company, or critical input.
Work with U.S. interagency partners and international government customers so the platform supports every economic security mission, from forced labor enforcement to critical mineral mapping to allied supply chain coordination.
Manage a fused data environment that combines the company's supply chain graph with confidential customer data for policy analysis.
Move defense supply chain management from one-time design and award decisions to continuous compliance that supports an innovation ecosystem.
Create a marketplace for compliant components so defense manufacturers and governments can experiment and field new capabilities quickly.
Build tools that let defense contractors see and manage deep-tier supply chains, connecting component makers, manufacturers, certification providers, and the public sector.
Set strategy and roadmap for these areas.
Work with engineering, design, data science, and government affairs to turn policy mandates and operational needs into product capabilities that scale to government needs.
Connect enterprise product work with government missions so that what businesses submit and what governments receive forms a consistent, trusted record.
Requirements
Have 8+ years at the intersection of trade, customs enforcement, or border security technology, with working knowledge of operational limits, data gaps, and political realities.
Know the difference between a manifest and an entry summary, and understand how targeting and clearance decisions are made and why current systems fall short.
Think in networks: recognise that the biggest risks, such as evasion, illicit finance, undervaluation, country-of-origin laundering, and supply chain manipulation, sit in relationships between records rather than in single records. Be comfortable with graph analytics and AI-driven pattern detection.
Have translated high-level mandates such as forced labor enforcement, counternarcotics, trusted-trader modernization, and revenue protection into concrete features, write requirements engineers can build, and explain data architecture to non-technical customs officials.
Design for many authorities across developed and emerging economies with different legal regimes, data sovereignty rules, languages, and digital maturity, and find the common platform beneath local differences.
Lead teams that define system interfaces, draft API specs, and prototype workflows before production code is written, and hold the team to shipping work that functions in real settings.
Understand APIs, EDI, ETL/ELT, and JSON, and care about user experience, especially in complex border workflows.
Security clearance is not required. Eligibility for or an existing U.S. clearance, or a past successful CBP or DHS background investigation, is a strong plus. For international customs work, local eligibility and the ability to meet each authority's security requirements matter most.
Preferred: 8+ years in customs enforcement, border security technology, trade compliance, or trade facilitation.
Preferred: 7+ years of product management, ideally on complex enterprise or government systems.
Preferred: direct experience with customs operations, trusted-trader or pre-clearance programs, or trade facilitation modernization, in the U.S. or abroad.
Preferred: familiarity with targeting systems, risk scoring, and enforcement workflow design in customs, border, or law enforcement settings.
Preferred: working knowledge of entry summaries, manifests, advance ship notices, HS/HTS classification, and country-of-origin determinations.
Preferred: experience with revenue protection (undervaluation, transshipment or country-of-origin laundering, HS misclassification) or enforcement work (counternarcotics, forced labor, TBML, trade diversion), which is a strong plus.
Preferred: experience delivering products across several countries or agencies, including emerging markets.
Preferred: prior work on API integrations, data pipeline architecture, or enterprise system implementation.
Preferred: eligibility for a U.S. security clearance, or an existing clearance or CBP background investigation.