AI Data Operations Lead jobs in United States
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Cinder · 1 day ago

AI Data Operations Lead

Cinder is a cutting-edge platform focused on internet protection and is seeking an AI Data Operations Lead to manage the health and quality of their Managed Services offerings. This role involves overseeing operational performance, vendor management, and AI-augmented review systems to ensure high-quality outcomes for customers.

Fraud DetectionInformation TechnologyIntelligent SystemsRisk Management
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H1B Sponsor Likelynote

Responsibilities

Own the operational health, delivery, and outcomes for all Managed Services customers
Lead quality programs across customers, including QA design, precision/recall analysis, accuracy tracking, and continuous improvement
Identify root causes of quality regressions, missed SLAs, or labeling confusion — and drive fixes across tooling, training, or process
Own escalation and risk tradeoffs when quality, safety, or customer timelines are at risk, exercising sound judgment in high-pressure situations
Manage day-to-day relationships with BPO and data labeling partners
Partner with vendors on staffing models, headcount planning, efficiency improvements, and performance management across time zones
Review training materials, calibration processes, and reviewer feedback loops to ensure consistent, high-quality output at scale
Write, test, and iterate labeling and review instructions in partnership with Product and customers
Lead calibration processes with BPO partners to ensure consistent interpretation of guidelines and edge cases
Work closely with Product and Engineering on AI deployments that support Managed Services customers
Help design and refine workflows where AI augments — rather than replaces — expert human judgment
Use operational data to inform model iteration, tooling improvements, and future product decisions
Monitor pipeline health across human and AI-assisted workflows, identifying bottlenecks and making informed tradeoffs between quality, speed, and cost
Act as a primary operational point of contact for Managed Services customers
Navigate customer pressure around deadlines, errors, quality issues, and evolving requirements with calm judgment and clear communication
Own prioritization and decision-making when information is incomplete and trade-offs are real
Partner with GTM teams to bring Managed Services offerings to market
Support upsells, renewals, and new customer conversations by translating operational credibility into clear value

Qualification

Trust & Safety operationsAI-augmented review systemsBPO managementData labelingRoot cause analysisCustomer communicationOperational performance monitoringQuality assuranceData science basicsProcess improvement

Required

Have at least 4+ years of experience in operations roles within Trust & Safety, AI safety, content moderation, or data labeling
Have directly managed BPO or vendor-based review/labeling teams at scale
Are highly organized and comfortable owning complex, multi-threaded operational work
Have experience performing root cause analysis on operational or quality issues
Are comfortable getting into the weeds — tooling, data, training docs, edge cases — to understand what's actually happening
Can operate independently and take initiative in ambiguous environments
Are comfortable using data (basic data science, metrics, dashboards) to monitor performance and partner with QA or customer teams
Are excited about AI-augmented operations and believe human judgment + AI systems outperform purely manual approaches

Preferred

Experience spanning both Trust & Safety and data labeling workflows
Experience with red-teaming or adversarial testing programs
Background working on the customer side of BPO relationships
Experience supporting customer-facing operations in high-stakes environments

Company

Cinder

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Cinder is the industry’s first Trust and Safety operations platform to help organizations combat Internet abuse at scale.

H1B Sponsorship

Cinder has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)

Funding

Current Stage
Early Stage
Total Funding
$14M
Key Investors
Accel
2024-01-01Series Unknown
2022-12-08Series A· $10M
2022-03-29Seed· $4M

Leadership Team

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Brian F.
Co-Founder
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Philip Brennan
Co-Founder
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Company data provided by crunchbase