AI Product Manager

HCLTech

Santa Clara (CA)

On-site

USD 200,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

10 days of paid time off per year

Job summary

A leading technology company is seeking a skilled AI Product Manager in Santa Clara, CA. This role involves defining product vision and collaborating on advanced AI/ML initiatives. Ideal candidates will have over 5 years of relevant experience and a strong understanding of AI concepts. This full-time position offers a salary range of $200,000 to $210,000 annually along with comprehensive benefits.

Qualifications

5+ years in product management, preferably in AI, ML, or Generative AI platforms.
Strong understanding of AI/ML concepts, deep learning, NLP, and LLMs.
Experience managing AI infrastructure, APIs, and developer platforms.

Responsibilities

Define and execute product vision for AI/Generative AI platforms.
Collaborate with leadership to align AI/ML initiatives.
Drive design and development of scalable AI/ML infrastructure.

Skills

Product management in AI/ML

Understanding of AI/ML concepts

Experience with MLOps

Knowledge of cloud AI platforms

Strong stakeholder management

Tools

Kubernetes

TensorFlow

AWS SageMaker

PyTorch

Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by HCLTech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $210,000.00/yr

HCLTech is looking for a highly talented and self-motivated AI Product Manager to join it in advancing the technological world through innovation and creativity.

Job Title: AI Product Manager

Job ID: 1585225BR

Location: Santa Clara, CA & East Brunswick, NJ

Overview

Role/Responsibilities

Define and execute the product vision, strategy, and roadmap for AI/Generative AI platforms.
Prioritize features and technical investments based on market trends, customer needs, and business objectives.
Collaborate with leadership to align AI/ML initiatives with company goals.
Drive the design and development of scalable, modular, and flexible AI/ML infrastructure.
Work with engineering teams to build LLM APIs, model-serving frameworks, and AI-powered SaaS capabilities.
Define best practices for MLOps, model monitoring, and AI observability.
Partner with data scientists, ML engineers, and DevOps teams to ensure seamless AI/ML integration.
Work closely with UX, legal, compliance, and security to ensure responsible AI practices.
Collaborate with customers, developers, and stakeholders to gather feedback and iterate on features.
Technical & Business Alignment
Define AI-powered product requirements, technical specifications, and performance metrics.
Oversee model lifecycle management, from data ingestion to model deployment and fine-tuning.
Work with Cloud, API, and Data Engineering teams to optimize platform scalability and cost efficiency.
Stay ahead of AI trends (LLMs, multimodal AI, retrieval-augmented generation, AI safety).
Drive AI product experimentation (A/B testing, reinforcement learning, hyperparameter tuning).
Ensure AI solutions comply with GDPR, SOC 2, HIPAA, and Responsible AI standards.

Qualifications

5+ years in product management, preferably in AI, ML, or Generative AI platforms.
Strong understanding of AI/ML concepts, deep learning, NLP, and LLMs.
Experience with MLOps, model training, deployment (Kubernetes, MLflow, TensorFlow, PyTorch).
Knowledge of cloud AI platforms (AWS SageMaker, GCP Vertex AI, Azure AI).
Familiarity with API design, vector databases (Pinecone, Weaviate), and retrieval-augmented generation (RAG).
Hands-on experience working with Agentic AI frameworks (AutoGen, CrewAI, LangChain, LangGraph, Semantic Kernel).
Experience managing AI infrastructure, APIs, and developer platforms.
Strong ability to translate AI/ML capabilities into user-friendly product features.
Excellent stakeholder management, agile product development, and prioritization skills.

Nice-to-Have Skills

Experience with LLM fine-tuning, prompt engineering, and AI safety techniques.
Prior work in SaaS, enterprise AI platforms, or AI governance.
Background in software engineering, data science, or AI research.

Pay and Benefits

Pay Range Minimum: $200,000 per year
Pay Range Maximum: $210,000 per year
HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

Growth and Development

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

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