Turing is hiring a
Principal Product Manager

Summary

Join Turing as a Principal Product Manager to lead the development of advanced tools for RLHF and SFT labeling, working closely with cross-functional teams to define and execute product strategy.

Requirements

• 8+ years of product management experience, with at least 3 years in AI/ML or data labeling-related products
• Proven track record of managing end-to-end product lifecycle, from ideation through launch and iteration
• Exceptional communication and stakeholder management skills, with the ability to influence technical and non-technical teams alike
• Data-driven mindset with a passion for creating impactful products
• Experience working in an agile environment with cross-functional teams

Responsibilities

• Define and drive the product strategy and roadmap for RLHF and SFT labeling tools, aligned with the broader AI strategy at Turing
• Collaborate with delivery, design, engineering, HR, sales and data teams to develop and refine labeling processes, ensuring scalability and high-quality data generation
• Proactively anticipate product needs with LLM account managers and customers while improving UX via hands-on user research
• Partner with engineering to prioritize features, manage trade-offs, and deliver high-impact products on time
• Identify opportunities to enhance automation in labeling processes while balancing human feedback for model fine-tuning
• Predict industry trends in AI training, including the latest advancements in RLHF and SFT, to ensure Turing remains at the cutting edge of machine learning technologies
• Collaborate with stakeholders across teams to ensure product alignment with business goals, customer needs, and regulatory requirements
• Monitor product performance and iterate based on key metrics and user feedback to continually improve labeling tools

Preferred Qualifications

• Experience in scaling AI or ML products at a tech-first company
• Familiarity with natural language processing models, transformers, or other advanced AI frameworks
• Experience in building products that integrate human feedback loops, including tools that support labelers or trainers in supervised learning environments
• Strong understanding of Reinforcement Learning, Supervised Fine-Tuning, and their applications in machine learning models
• Experience working in distributed or remote teams

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