Safeguards Policy Analyst (AI)

TL;DR

Safeguards Policy Analyst (AI): Designing and executing enforcement workflows to detect and mitigate fraud and scam-related harms on hirify.global's products with an accent on fraud typologies, scam ecosystems, and threat actors. Focus on translating expertise into durable and scalable policies, developing guidelines that power classifiers, and serving as the point of contact for cross-functional workstreams.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY

Salary: $245,000 - $285,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society.

What you will do

• Draft, maintain, and iterate on Fraud & Scams policies governing hirify.global's products and APIs.
• Design and architect automated enforcement systems and human review workflows.
• Serve as the primary policy point of contact for ML and Engineering teams developing fraud detection classifiers.
• Educate and align internal stakeholders around hirify.global's fraud and scams policies and enforcement approach.
• Develop detailed threat models for fraud and scam vectors and translate these into enforceable policy language.

Requirements

• Experience as a Trust & Safety professional with a focused background in fraud, scams, or financial crime, particularly in a tech platform or AI context.
• Experience writing and managing operational policies for fraud or abuse prevention at scale.
• Ability to use SQL or other data analysis tools to identify trends, measure enforcement efficacy, and surface policy gaps.
• Experience collaborating cross-functionally with Engineering, ML, Legal, and Policy teams on safety initiatives.
• Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.

Nice to have

• Experience at a major technology platform, financial institution, or fraud intelligence firm in a policy, operations, or investigative capacity.
• Familiarity with the generative AI risk landscape and how large language models can be exploited for fraud and social engineering.
• Background in threat intelligence, financial crimes compliance (AML/KYC), or law enforcement focused on cyber-enabled fraud.

Culture & Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space in which to collaborate with colleagues.