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Strong Tier-1 brand, metro Bangalore, and a visible generalist program role with broad skills increases applicant competition.
Program and ops skills transfer across industries, but required coding familiarity and AI-data context raise domain specificity.
Moderate technical, customer-facing and scale requirements but no strict years or certification thresholds.
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Own end-to-end delivery and operational execution of software-engineering data programs including coding demonstrations, RL environments, evaluation, and benchmarking.
Ensure high-quality data integrity and quality control across annotation lifecycles; analyze datasets to identify and fix root causes of errors.
Coordinate and manage large distributed teams (100–1,000+ contributors), including contributor training, performance, and review structures; act as primary client contact for frontier AI labs.
Proven track record managing complex, multi-stakeholder projects in software engineering, technical program management, consulting, finance, startups, or similarly operationally intense environments.
Ability to read and review code in Python, TypeScript, Java, or Go, and understand test suites.
Customer-facing experience involving direct interaction with high-profile clients and expectation management.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing large-scale technical operations with multiple concurrent programs and distributed engineering contributors.
Strong analytical skills to diagnose bottlenecks and implement process optimizations based on data-driven insights.
Comfortable working directly with leading AI research labs, translating complex research requirements into executable technical workflows.