Thinking Machines Lab

16 hours ago

Operations Analyst, Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Own daily safety operations for flagged content, safety escalations, and account-level abuse signals, applying policy judgment to take action and keep moderation accurate. Turn recurring case patterns into safer-by-default policies across the product stack, partnering with engineering, legal, safety research, and security. Build tooling and automation (triage agents, workflows, detection templates) and improve observability so safety-relevant events surface faster with stronger signal.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Review flagged content, safety escalations, and account-level abuse signals daily; triage cases and take ongoing action (content flags, account review, bans/recovery).
•Design and refine safety policy across the product stack using patterns from casework with engineering, legal, safety research, and security stakeholders.
•Build and maintain tooling and automation to make moderation casework faster and more consistent (triage agents, ban/recovery workflows, abuse detection frameworks/templates).
•Partner with product teams to embed safety into product experience including model refusals, content flagging, account review, and safety protections.
•Improve observability and detection for safety-relevant events such as model safety trends, abuse patterns, and malicious behavior in production.

Pay and Benefits

Salary: USD 190,000 - 300,000 annually

Perks:Health InsuranceDentalVisionPaid LeaveParental LeaveRelocation

Key Requirements

•2+ years in operational trust & safety, content moderation, or fraud/abuse ops with recurring responsibility for a case queue.
•Own policy definition, operationalization, and enforcement end to end, evidenced by specific policies or enforcement programs you built or ran.
•Direct case experience in areas such as cybersecurity abuse, CBRN-relevant risk, youth safety, or prompt injection in production.
•Familiarity with model safety and abuse risk categories (e.g., jailbreaks, prompt injection, scaled abuse) and how to identify and mitigate them in a live product.
•Practical experience using AI tools (Claude, Codex, or similar) to build or accelerate operational workflows.

Experience:Content moderationTrust and safetyFraud/abuse operations

Skills:Policy judgmentStakeholder collaborationProcess improvementObservability mindsetFast learning

Languages:English

Tech Stack:ClaudeCodex

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Develops enterprise AI solutions, custom large language models, and ML platforms to help organizations deploy intelligent applications. Services include data engineering, model development, and AI consulting for scale and production readiness.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website

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Thinking Machines Lab

16 hours ago

Operations Analyst, Safety

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Business Operations

Seniority: Mid level

Key Responsibilities

•Review flagged content, safety escalations, and account-level abuse signals daily; triage cases and take ongoing action (content flags, account review, bans/recovery).
•Design and refine safety policy across the product stack using patterns from casework with engineering, legal, safety research, and security stakeholders.
•Build and maintain tooling and automation to make moderation casework faster and more consistent (triage agents, ban/recovery workflows, abuse detection frameworks/templates).
•Partner with product teams to embed safety into product experience including model refusals, content flagging, account review, and safety protections.
•Improve observability and detection for safety-relevant events such as model safety trends, abuse patterns, and malicious behavior in production.

Pay and Benefits

Salary: USD 190,000 - 300,000 annually

Perks:Health InsuranceDentalVisionPaid LeaveParental LeaveRelocation

Key Requirements

•2+ years in operational trust & safety, content moderation, or fraud/abuse ops with recurring responsibility for a case queue.
•Own policy definition, operationalization, and enforcement end to end, evidenced by specific policies or enforcement programs you built or ran.
•Direct case experience in areas such as cybersecurity abuse, CBRN-relevant risk, youth safety, or prompt injection in production.
•Familiarity with model safety and abuse risk categories (e.g., jailbreaks, prompt injection, scaled abuse) and how to identify and mitigate them in a live product.
•Practical experience using AI tools (Claude, Codex, or similar) to build or accelerate operational workflows.

Experience:Content moderationTrust and safetyFraud/abuse operations

Skills:Policy judgmentStakeholder collaborationProcess improvementObservability mindsetFast learning

Languages:English

Tech Stack:ClaudeCodex

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Headquarters: Mumbai, India

Website