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Senior Product Manager, LLM Post-Training & Evaluation

Centific

🌍 North America 🏠 Remote ⏱ Full-time 💼 Senior 🗓 5 days ago

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Senior Product Manager, LLM Post-Training & Evaluation Company: Centific Location: Palo Alto, CA or Seattle, WA (Hybrid/Remote) Type: Full-time Role Overview As the Senior Product Manager, LLM Post-Training & Evaluation , you will own the product strategy, roadmap, and go-to-market execution for Centific’s platform capabilities in large language model post-training and evaluation. This is a high-impact, technically demanding PM role at the intersection of cutting-edge AI research and enterprise product delivery. You will translate complex customer requirements from leading AI labs, enterprise teams, and foundation model builders into a coherent product vision — spanning evaluation frameworks, benchmark infrastructure, human-in-the-loop workflows, and post-training pipelines. You will work hand-in-hand ...

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