Senior Product Manager - X Stream

Senior Technical Product Manager – AI Platform (SLM, RLHF & ML‑Ops) We are hiring a Senior Technical AI Product Manager to build and scale core AI platform features that enable SLM fine‑tuning & adaptation, RLHF / RHFL workflows, model evaluation & quality measurement, and enterprise‑grade ML‑Ops and inference lifecycle management. Why This Role Matters Enterprise GenAI is moving beyond prompts and demos. Customers now demand: Private, fine‑tuned domain specific models (SLMs) Human‑in‑the‑loop learning (RLHF) with business user inputs Production‑grade evaluation, governance, and observability Repeatable and production‑grade ML‑Ops pipelines, not science projects Role Overview You will operate at the intersection of model / data science, platform engineering, and enterprise product delivery, owning foundational capabilities used by multiple product teams internally (BAIS) as well as external enterprise customers (BAIC). This is a deeply technical platform PM role, ideal for someone who has worked closely with ML engineers, data scientists, and infra teams and knows how to turn complex AI systems into reliable, scalable, and consumable enterprise platforms. What You’ll Own 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. 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. Required Qualifications 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, and model evaluation methodologies. Experience working closely with ML, data science, and infra teams. Ability to reason about systems, trade‑offs, 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. Compensation & Benefits Hiring Range: $186,900 - $257,000 - Primary Location: USA – CA – Palo Alto. Benefits include: annual incentive opportunity based on target achievement, pre‑IPO stock options, medical, dental, vision, 401(k) with match, generous paid time off, paid holidays, paid birthday day off, and other paid leave policies. Location Preference USA – CA – Palo Alto. Equal Employment Opportunity Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. #J-18808-Ljbffr