Technical Project Manager

814 years (with deep hands-on coding background)

We are looking for a highly technical manager to lead large-scale AI data and coding programs involving supervised fine-tuning (SFT), RLHF, model evaluations, and complex code-generation/verification workflows.

This role requires someone who has personally shipped production-grade code , understands software architecture deeply , and can manage multiple parallel technical workstreams with engineers, reviewers, and AI researchers.

This is not a pure people-manager or coordination role the individual must be able to read, review, debug, and reason about code across languages and domains.

• Own end-to-end delivery of coding-heavy AI data programs , including:
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• Code generation tasks
• Code refactoring and optimization
• Bug-finding, test-case creation, and validation
• Algorithmic and system-design evaluations
• Act as the final technical authority for task quality, correctness, and feasibility.
• Review complex code submissions across multiple languages and paradigms.

• Manage large distributed technical teams (engineers, evaluators, reviewers).
• Break down ambiguous research or model-training requirements into clear technical task definitions .
• Ensure delivery against tight SLAs, accuracy benchmarks, and throughput targets .
• Coordinate closely with client technical teams (AI research, infra, evaluation).

• Evaluate tasks involving:
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• Backend systems
• APIs & microservices
• Distributed systems
• Performance optimization
• Concurrency and scalability
• Guide contributors on best practices, patterns, and trade-offs .

• Define and enforce coding standards, review rubrics, and validation frameworks .
• Identify systematic quality issues and drive root-cause fixes .
• Build internal tooling or scripts (where required) to improve efficiency and accuracy.

• Translate highly technical outcomes into clear reports for non-technical stakeholders .
• Work with internal ops, QA, and finance teams to ensure accurate effort tracking and reporting .

• Bachelors or Masters degree in Computer Science, Engineering, or related field .
• 8+ years of hands-on software development experience .
• Prior experience as:
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• Senior Software Engineer
• Tech Lead
• Engineering Manager (hands-on)
• Principal Engineer (preferred)

• Strong proficiency in at least two of the following:
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• Python
• Java
• C / C++
• JavaScript / TypeScript
• Go
• Rust
• Ability to:
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• Read unfamiliar codebases quickly
• Debug non-trivial logic and performance issues
• Evaluate algorithmic correctness and complexity

• Excellent command over:
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• Data structures & algorithms
• Object-oriented and functional design
• Memory management & performance trade-offs
• Multithreading, concurrency, async systems
• Experience with system design interviews or real-world architecture decisions is a strong plus.

• Experience working on or around:
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• LLMs, NLP systems, or ML pipelines
• Model evaluation, benchmarking, or testing
• Human-in-the-loop systems
• Large-scale annotation or data-generation programs
• Familiarity with:

• RLHF / SFT concepts
• Model evaluation metrics
• Prompt engineering and code-generation evaluation