Senior Technical Product Manager - AI Platform (SLM, RLHF & ML-Ops)

Uniphore is seeking a Senior Technical AI Product Manager to build and scale core AI platform features for their Business AI Cloud (BAIC). This role focuses on enabling SLM fine-tuning, RLHF/RHFL workflows, model evaluation, and enterprise-grade ML Ops. The manager will work at the intersection of model/data science, platform engineering, and product delivery, owning foundational capabilities for internal teams and external enterprise customers, ensuring trustworthy, explainable, and outcome-driven enterprise AI.

Must Have

• 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
• 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)
• Strong understanding of RLHF / RHFL concepts and workflows
• Strong understanding of 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

Good to Have

• 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

Perks & Benefits

• Annual incentive opportunity based on target achievement
• Pre-IPO stock options
• Medical benefits
• Dental benefits
• Vision benefits
• 401(k) with a match
• Generous paid time off
• Paid holidays
• Paid day off for your birthday
• Other paid leave policies

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.

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
• 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

Hiring Range:

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

The specific rate will depend on the successful candidate's qualifications and prior experience.

In addition to competitive base pay, this position also includes an 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.

Location preference:

USA - CA - Palo Alto

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.

For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.