Job description
About Turing
Based in Palo Alto, California, Turing is one of the world’s fastest-growing AGI infrastructure companies accelerating the advancement and deployment of powerful AI systems. Turing has two main business lines: Turing AGI Advancement, which works with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, STEM and frontier knowledge; and Turing Intelligence, which leverages learnings from advancing frontier AGI to build real-world AI systems that solve mission-critical priorities for Fortune 500 Companies. Powering this growth is Turing’s AI-powered vetting and matching engine and its fine-tuning platform, ALAN, which accelerates workflows for model evaluations, fine-tuning, reinforcement learning, and agent development.
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.
As a Director of Engineering for our LLM Training and AI Services business, you will drive the development of high-quality, foundational LLM training datasets and advanced AI tooling solutions. 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 Google, 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 (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.
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 (e.g., SurgeAI, ScaleAI, invisibleAI) 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.
- 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.
Advantages of joining Turing:
- 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
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing’s GDPR notice here.
