Senior Product Manager - X Stream

About the role

The Senior Technical Product Manager will own the end-to-end product roadmap for SLM fine-tuning, RLHF, evals, and ML-Ops capabilities within BAIC. They will work daily with ML engineers, platform engineers, applied scientists, and UX designers, translate advanced AI capabilities into clear platform abstractions and APIs, engage directly with strategic enterprise customers and design partners, drive build-vs-buy decisions and ecosystem integrations, define standardized, repeatable workflows for model adaptation, productize private model training and adaptation for enterprise customers with strong isolation, governance, and IP protection, lead platform support for PEFT-based fine-tuning (LoRA, QLoRA, adapters), enable human-in-the-loop learning (RLHF / RHFL) including feedback collection, labeling pipelines, and reward modeling, define and ship Eval frameworks, training, continuous fine-tuning to enable agentic workflows, operationalize trust, explainability, scale, and cost efficiency by partnering with internal and external stakeholders.

Responsibilities

• Own the end-to-end product roadmap for SLM fine-tuning, RLHF, evals, and ML-Ops capabilities within BAIC
• Work daily with ML engineers, platform engineers, applied scientists, and UX designers
• Translate advanced AI capabilities into clear platform abstractions and APIs
• Engage directly with strategic enterprise customers and design partners
• Drive build-vs-buy decisions and ecosystem integrations
• Define standardized, repeatable workflows for model adaptation
• Productize private model training and adaptation for enterprise customers with strong isolation, governance, and IP protection
• Lead platform support for PEFT-based fine-tuning (LoRA, QLoRA, adapters)
• Enable human-in-the-loop learning (RLHF / RHFL) including feedback collection, labeling pipelines, and reward modeling
• Define and ship Eval frameworks, training, continuous fine-tuning to enable agentic workflows
• Operationalize trust, explainability, scale, and cost efficiency by partnering with internal and external stakeholders

Requirements

• 5+ years of technical product management experience, with significant focus on AI/ML platforms or infrastructure
• Hands-on experience shipping products involving LLMs / SLMs, fine-tuning, RAG, or ML pipelines
• Strong understanding of: SLM fine-tuning techniques (PEFT, LoRA, QLoRA), RLHF / RHFL concepts and workflows, Model evaluation methodologies
• Experience working closely with ML, data science, and infra teams
• Ability to reason about systems, tradeoffs, and abstractions, not just features
• Strong written and verbal communication for technical and executive audiences

Preferred Qualifications

• Experience building or managing MLOps platforms (training, deployment, monitoring)
• Familiarity with tools such as PyTorch, LangChain, Kubeflow, Arize, Weights & Biases
• Experience with enterprise knowledge systems, vector databases, or Graph-based RAG
• Background in data science, ML engineering, or applied AI
• Experience shipping AI platforms for regulated or Fortune-500 environments

Benefits

Competitive base pay, annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.

Pay

$186,900 - $257,000 - for Primary Location of USA - CA - Palo Alto

Schedule

Not specified