Staff Product Manager

Summary

Join Turing, a rapidly growing AI company, as a Staff Product Manager to lead the development of advanced tools for RLHF and SFT labeling. Collaborate with cross-functional teams to define and execute the product strategy for labeling tools that optimize human feedback and supervised training data collection. You will play a key role in shaping products that enable talent to train LLMs, ensuring alignment with real-world needs and continuous improvement. Responsibilities include defining product strategy, collaborating with various teams to refine labeling processes, anticipating product needs, partnering with engineering, identifying automation opportunities, predicting industry trends, ensuring product alignment with business goals, and monitoring product performance. The ideal candidate possesses 8+ years of product management experience, including 3+ years in AI/ML or data labeling. Additional preferred qualifications include experience scaling AI/ML products, familiarity with NLP models, and a strong understanding of RLHF and SFT.

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
• Ability to work 12 hours / day

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