Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Field Intelligence Analyst (Remote, UAE)
- Remote from
- UAE
- Salary
- Undisclosed
- Department
- Legal & Compliance
- Employment
- Full Time
- Experience
- Open level
- Published
- Apply before
- 12 Dec 2026
- Listing views
- 23
- Application actions
- 1
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About this role.
About Sayari:
Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ 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, HM Revenue & Customs, 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., with offices in London, Singapore, Tokyo, and Tel Aviv.
About the Role
Sayari’s customers buy answers to hard problems: who really owns a supplier, where a sanctioned network is moving goods, which alerts deserve an analyst’s time. Sayari’s AI platform Superconductor delivers those answers at machine scale. It is built in the field, with analysts and engineers working alongside customers to define what it needs to do.
The Field Intelligence Analyst brings Sayari’s tradecraft to that work. You scope the problem, design the solution, prove its value, and deliver mission impact. You own the analytical relationship for a portfolio of accounts, from first conversation through sustained delivery. What you learn on live engagements flows back into Superconductor and into Sayari’s tradecraft standard.
You work in our Field Intelligence Department, a global team of analysts deployed to support government agencies and Fortune 500 companies. You sit in the same org as Forward Deployed Engineers and the Product team. The field shapes the roadmap, and Product sets it.
Why This Role Exists
- Customers buy answers. Superconductor reasons like an expert analyst at machine scale. The analyst’s job shifts from producing every answer by hand to directing, validating, and extending what Superconductor produces, and teaching customer analysts to do the same.
- Context should survive the contract. The analyst who designed the proof-of-value knows why the success criteria are what they are. Keeping that analyst on the account protects delivery quality and surfaces the next problem before the customer names it.
- Tradecraft is built in the field. Field Intelligence Analysts see what was promised, what was delivered, and what the customer did with it. That full view produces better methodology, better evals, and a better Superconductor than any single-phase role can.
What You Will Do
Own the analytical relationship, end to end
- Run discovery and proof-of-value engagements anchored on work the customer already pays people to do, such as alert adjudication, due diligence, investigations, and case prioritization. Define success criteria you will personally be accountable for delivering.
- Stay on the account after close and deliver the work you scoped. This includes multi-hop investigations across ownership, trade, and corporate records, plus analytical briefings and training.
- Serve as the customer’s single analytical point of contact from first conversation through renewal.
Build with Field Engineering and Product
- Pair with FDEs on discovery and delivery. You define the analytical requirement, they build it, and you validate it against the mission.
- When something built for one customer should be rebuilt for many, make the case to Product with evidence: the problem, the workaround, and the customers who share it.
- Document where the platform falls short of the mission, with raw examples attached.
Deliver analyst-plus-AI, and teach it
- Direct Superconductor against live mission problems. Validate its reasoning against expert standards, and extend it into new customer workflows.
- Train and certify customer analysts on Sayari methods and on working with Superconductor. Identify the customer experts who should go further.
Build the tradecraft
- Capture the judgment calls, non-obvious pivots, and creative approaches from live engagements. Contribute them to the Tradecraft team as expert-annotated reference cases, eval scenarios, and training material.
- Hold your work to the Field Intelligence standard, and help raise it.
Support Go-To-Market Teams
- Work with Sales to diagnose customer problems, scope solutions, and deliver mission impact.
Who You Are
Required
- A builder’s temperament and comfort with ambiguity. You do well on small teams with end-to-end ownership and no defined lane, working next to engineers on things that don’t exist yet.
- Experience conducting complex, multi-source investigations in one or more of these areas: financial crime, sanctions and export controls, supply chain and forced labor risk, transnational criminal organizations, or law enforcement and intelligence investigations. This should include work with corporate records, trade data, and OSINT.
- Customer-facing range. You have scoped engagements, demonstrated capability to skeptical experts, and delivered under a statement of work. Candidates often come from solutions consulting, services delivery, embedded analytics, or mission-support roles.
- Hands-on fluency directing and evaluating AI and agentic analytical tools. You can define what “right” looks like precisely enough to test against.
- Clear communication with analysts, program managers, engineers, and executives.
Desired
- Python or SQL for data manipulation, and familiarity with REST APIs.
- Experience designing training curricula or certifying analysts.
- For government portfolios: an active Government security clearance and same citizenship as your country of residence.
Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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Sample interview questions
I would begin by mapping the current workflow, alert volumes, escalation criteria, data sources, analyst effort, and error patterns. I would agree on measurable success criteria, such as reduced review time, improved true-positive identification, or stronger auditability, then design representative test cases and a validation process with customer subject-matter experts.
I verify the underlying source evidence, test the entity-resolution logic, assess alternative explanations, and confirm that each conclusion is proportional to the available facts. I document the reasoning chain, uncertainty, and any remaining gaps so the customer can distinguish verified findings from investigative leads.
I would clarify the operational impact, capture concrete examples and expected outputs, and identify a viable interim workflow with the field engineering team. I would then provide Product with structured evidence of the unmet need, the customer segment affected, and the potential value of a scalable solution.
Effective training connects product capabilities to real customer cases and emphasizes judgment rather than blind automation. I would combine demonstrations, guided exercises, evaluation rubrics, and certification criteria that test source validation, escalation decisions, and clear documentation of conclusions.
I tailor the level of detail while preserving evidentiary rigor. Executives receive the key risk, business or mission impact, confidence level, and recommended action, while technical and analytical teams receive the methodology, source trail, assumptions, and limitations needed to reproduce or challenge the finding.
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