Senior Product Manager - X Stream

Uniphore•Palo Alto, CA

4d•Onsite

About The Position

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: Senior Technical Product Manager - AI Platform (SLM, RLHF & ML-Ops) About Uniphore: Uniphore is one of the largest B2B AI-native companies with decades of proven, built for scale, and designed for the enterprise. Our Business AI Cloud (BAIC) powers mission-critical AI deployments for Fortune 500 customers across regulated and data-intensive industries. Uniphore’s platform uniquely combines Generative AI, Knowledge AI, Emotion AI, multimodal understanding, and guided workflows to deliver trustworthy, explainable, and outcome-driven enterprise AI. We operate at production scale—across voice, video, text, and structured data—where reliability, governance, and performance matter as much as innovation. 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 This role owns the core AI platform knowledge capabilities that make all of that real. Role Overview: 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 Enterprise-grade ML Ops and inference lifecycle management 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.

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

Nice To Haves

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

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
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.

Benefits

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.

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