Trust and Safety Lead

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

Matched to SOC 11-1021 - Operations aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Operations From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Trust and Safety Lead Remote (US), United States About OpenRouter OpenRouter is the AI routing and infrastructure layer that AI builders, AI-native startups, and enterprises use to access, manage, and optimize their AI usage all through a unified API, billing interface, and analytics platform. We power some of the most advanced AI builders in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve. As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads. The Role We are hiring a Trust & Safety Lead to build and own OpenRouter's Trust, Safety, and Compliance function. This is a 0 → 1 role. You will define policy, build systems, and handle operations, then scale the function over time. Core Challenges - Enforcing different model provider policies through a unified API - Preventing users from routing around restrictions - Designing sanctions and export controls with imperfect signals - Balancing developer experience with enterprise controls - Detecting coordinated abuse across accounts, usage, and payments Responsibilities Policy & Enforcement - Define policies across accounts, payments, and API usage - Ensure compliance with sanctions and regulatory requirements - Translate provider policies into platform-level enforcement - Design enforcement actions and appeals Systems & Risk - Build a risk-based system driven by aggregated signals - Develop unified risk scoring and tiered enforcement - Partner with engineering on sanctions controls, identity validation, and enforcement systems - Introduce ML-assisted detection

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