Director of Engineering, LLM Training

About Turing

Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways:

1. Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge.
2. Leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions.

Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.

For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.

Position Overview

As a Director of Engineering for our LLM Training business, you will drive the development of high-quality, foundational LLM training datasets. You will serve as a strategic leader who can seamlessly carry technical, business, and people conversations. In this role, you will not only manage and mentor large cross-functional teams of software engineers and data scientists executing Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) tasks but also directly engage with key strategic partners such as Anthropic, Meta, and OpenAI to further our business objectives.

Key Responsibilities

Strategic Leadership & Client Engagement:

• Lead large, cross-functional teams to deliver superior SFT and RLHF datasets while directly interfacing with high-profile clients to drive business growth.
• Act as the primary technical and business liaison, capable of engaging in detailed technical discussions and high-level business strategy.

Performance & Talent Management:

• Conduct in-depth performance analysis, provide actionable feedback, and mentor team members to identify and develop high performers for advanced roles.
• Implement and refine talent management practices that go beyond traditional metrics, emphasizing impact over years of experience.

Process Optimization & Project Management:

• Oversee work stream assignments across specialized pods, prioritizing tasks and ensuring project alignment with business goals through clear project management practices.
• Monitor team throughput, cycle times, and quality standards, driving continuous process improvements that scale efficiently.

Quality Control & Innovation:

• Perform rigorous quality reviews on team outputs, providing actionable feedback to maintain high standards and early risk detection.
• Lead prompt-generation and ideation efforts to continuously innovate product features and processes in the rapidly evolving AI landscape.

Technical & Business Expertise

Technical Mastery:

• Deep hands-on experience in building scalable, maintainable codebases with languages like Python and JavaScript, leveraging modern frameworks and best practices.
• Up-to-date expertise in AI/LLM techniques (including SFT, RLHF, prompt engineering) and a proven track record of integrating advanced AI into business-critical projects.

Business Acumen:

• Ability to analyze technical challenges from a business perspective, identifying growth opportunities and aligning engineering outputs with strategic client needs.
• Experience in managing and negotiating large-scale projects with leading industry partners without being confined by traditional career metrics.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 12+ years of experience in software development with at least 6 years in a leadership role—experience is measured by impact, not just years.