Engineering Manager
Overview
Turing, a San Francisco-based research accelerator, supports frontier AI labs and enterprises with data pipelines and training systems. This Delivery Leader role sits in the LLM Training business, where you will manage teams of 20+ software engineers and data scientists executing Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) tasks. The work focuses on delivering datasets that hit strict quality, throughput, and cost targets. The contract runs 10 months and is open to candidates in India and LATAM countries, with a required 4-hour daily overlap with PST.
What You'll Do6
- 1Direct teams of 20+ developers working in Python, JavaScript, and Java to execute technical delivery tasks.
- 2Partner with researcher clients to align on expectations and keep them satisfied with completed datasets.
- 3Run rigorous review checkpoints that protect dataset quality before release.
- 4Move projects from kickoff to stable delivery state while owning the outcome end to end.
- 5Implement quality improvements for Python, JavaScript, and Java code produced by the team.
- 6Identify and resolve issues related to question clarity, methodology, result communication, and bugs across all team output.
Requirements5
- 1At least 8 years of professional software engineering experience, including 3+ years in an engineering management position.
- 2A track record of managing large technical teams in a delivery-focused environment, with working proficiency in Python or Java/JavaScript (both are ideal).
- 3Comfortable doing hands-on technical work to spot and resolve quality issues in code and datasets.
- 4Strong leadership and people management skills that keep large, mixed teams of engineers and data scientists motivated.
- 5Excellent communication and stakeholder management skills for working with external clients and internal partners.
Who Should Apply
The right candidate has 8+ years of engineering experience, at least 3 years managing engineers, and a history of running teams of 20+ in delivery-heavy environments. They are comfortable opening the codebase themselves to fix quality issues in Python, Java, or JavaScript, and they know how to communicate with researcher clients. This role is less suitable for hands-off managers who prefer to delegate all technical review, or for engineers who want to stay individual contributors. Common rejection reasons include showing no evidence of leading teams at that scale, failing a hands-on technical review, or struggling to explain delivery issues to stakeholders.
Location
Required Skills
Application Tip
In your application, describe a specific delivery project where you managed 20+ engineers, and include metrics for throughput, quality, or cost improvements. Be ready to walk through your own code review process in Python, Java, or JavaScript during that project.
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1Application received
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