Delivery Engineering Director

Summary

Join Turing as a Director of Engineering and lead the development of high-quality LLM training datasets and advanced AI tooling solutions. You will strategically lead cross-functional teams of software engineers and data scientists, managing SFT and RLHF tasks. Direct engagement with key partners like Google, Meta, and OpenAI is crucial for achieving business objectives. This role demands strong technical and business acumen, along with exceptional leadership and mentorship skills. You will oversee project management, quality control, and continuous process improvement. The ideal candidate possesses extensive experience in software development, AI/LLM techniques, and managing large, remote teams.

Requirements

• 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
• Proven track record of leading remote and global teams (100+ team size) to deliver high-quality, scalable software products
• Exceptional ability to carry technical, business, and people conversations; a true techno-functional leader who is as comfortable discussing low-level technical details as high-level business strategy
• Demonstrated success working with strategic partners and clients to drive innovation in AI/LLM and digital transformation initiatives

Responsibilities

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

Preferred Qualifications

• 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
• 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 (e.g., SurgeAI, ScaleAI, invisibleAI) without being confined by traditional career metrics

Benefits

• Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
• Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
• Competitive compensation
• Flexible working hours
• Full-time remote opportunity