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Field Intelligence Analyst (Tokyo)

AI Summary
This customer-facing intelligence role leads complex investigations and analytical delivery for government and enterprise accounts. The Field Intelligence Analyst scopes proof-of-value engagements, validates AI-generated findings, and remains accountable for sustained customer outcomes. Core work includes multi-hop investigations using corporate, trade, and open-source data, as well as customer training and executive briefings. The role partners closely with Forward Deployed Engineers and Product to turn field evidence into reusable platform capabilities. It is well suited to an experienced investigator who can operate independently in ambiguous, mission-critical environments.
Remote from
Japan
Salary
USD 7,800k–11,900k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
13 Dec 2026
Listing views
37
Application actions
1
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Opportunity details

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.

Compensation

The target base salary for this position is ¥7,800,000 to ¥11,900,000 in Japan, plus variable bonus and equity. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience-levels and expertise, internal peer equity, and may vary from the amounts listed above.

Benefits:

  • 100% fully paid medical, vision, and dental for employees and their dependents
  • Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days
  • Outstanding compensation package; competitive commissions for revenue roles and bonuses for non-revenue positions
  • A strong commitment to diversity, equity, and inclusion
  • Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage), and parental leave
  • A collaborative and positive culture – your team will be as smart and driven as you
  • Limitless growth and learning opportunities

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.

Pay Range

¥7,800,000—¥11,900,000 JPY

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role combines deep investigative tradecraft, AI evaluation, customer delivery, and cross-functional product input. Success requires independently handling ambiguous, high-stakes investigations while communicating effectively with technical and executive stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$9,850,000
US market range (per year)$8,000k–$13,000k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a target base-salary range of JPY 7,800,000 to JPY 11,900,000. The yearly cadence is inferred from the compensation magnitude, Japanese professional-market conventions, and the senior customer-facing nature of the role. The estimated annual market range is JPY 8,000,000 to JPY 13,000,000, with an employer midpoint of JPY 9,850,000; bonus and equity are excluded from these base-pay figures.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a complex multi-source investigation you led and how you validated the final conclusion.

I would explain the investigative objective, sources used, such as corporate registries, trade records, sanctions lists, and open sources, and the links established between entities. I would also describe corroboration steps, uncertainty management, and how I documented an auditable evidence trail for the customer.

How would you scope a proof-of-value engagement for a customer using an AI-enabled intelligence platform?

I would begin with a workflow the customer already performs, define measurable success criteria, establish a representative set of cases, and agree on stakeholders and delivery milestones. I would then test the platform against expert expectations and present outcomes in terms of time saved, coverage, accuracy, and decision quality.

How do you evaluate whether an AI-generated investigative finding is reliable?

I assess source provenance, reasoning steps, entity resolution quality, factual consistency, and whether the conclusion follows from the evidence. I also test edge cases, compare outputs against analyst-reviewed examples, and clearly distinguish verified findings from hypotheses that need additional research.

Give an example of how you would communicate a platform limitation to Product and Engineering.

I would provide the customer mission context, a reproducible example, the expected analytical outcome, the actual system behavior, and the operational impact. I would include raw evidence and prioritize the issue based on recurrence, affected customers, and the availability of a workaround.

How would you train customer analysts to work effectively with an agentic analytical tool?

I would use realistic cases to teach task framing, evidence review, validation practices, and escalation criteria. Training would include guided exercises, a clear quality standard, and certification checkpoints so customer analysts can demonstrate safe and effective use in their own workflows.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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