Senior Technical Product Manager

Job Title: Senior Technical Product Manager
Location: Dallas, TX, USA
Work Model: Onsite
Employment Type: Contract
Duration: 13 Months
Shift: Regular Business Hours

Note: No H1B required for this position, only qualified Technical Product Manager candidates located near Dallas, TX will be considered due to the onsite requirement.

Position Overview
We are seeking an experienced Senior Technical Product Manager to lead the development and delivery of AI/ML-powered digital products. This role requires deep expertise in product management, AI/ML lifecycle, Large Language Models (LLMs), APIs, analytics, and telecom domain experience.
The ideal candidate will have a strong technical background, proven experience shipping AI-powered products, and the ability to translate complex technical capabilities into meaningful customer outcomes. This individual will collaborate closely with engineering, data science, design, and business teams to define product strategy and execute end-to-end product delivery.

Required Education
Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent technical background).
Background in software engineering or technical discipline preferred.

Must-Have Skills
Product Management
AI/ML Product Development
Large Language Models (LLMs)
Machine Learning
APIs
Analytics
Telecom Domain Experience
AI Models

Required Experience & Qualifications
Product Management Expertise
7+ years of product management experience building digital products.
Minimum 3+ years in a senior or lead product management role.
Proven track record of delivering successful products with measurable business and customer outcomes.
Experience owning full product lifecycle including:
Product discovery
Product strategy
Development and delivery
Performance measurement and impact analysis
Strong understanding of modern product practices including:
Continuous discovery
Assumption testing
Outcome-based roadmap planning

AI/ML Product Experience
Minimum 1+ year of hands-on experience delivering AI/ML-powered products or features.
Experience working closely with:
Data Science teams
Machine Learning Engineers
Engineering teams to deploy models in production
Understanding of AI/ML product lifecycle including:
Data requirements
Model training and evaluation
Model deployment and monitoring
Continuous model improvement
Experience with at least one of the following:
Recommendation systems
Personalization engines
Natural Language Processing (NLP) / LLMs
Predictive analytics
Conversational AI
Computer vision
Ability to translate AI/ML capabilities into real customer value.
Experience defining AI success metrics including model performance and business impact.

Generative AI and LLM Expertise
Experience working with generative AI technologies and LLM integrations such as:
GPT
Claude
Gemini
Experience building customer-facing AI-powered products.
Understanding of responsible AI practices including:
Bias detection
Fairness and transparency
Privacy and ethical AI
Experience with conversational AI, intelligent automation, or AI-powered customer engagement platforms.

Continuous Discovery & Product Innovation
Experience conducting customer interviews and user research.
Experience using frameworks such as:
Opportunity solution trees
Customer journey mapping
Experience validating ideas using:
Prototypes
Experiments
Assumption testing
Ability to work effectively in ambiguous environments.

Cross-Functional Leadership
Proven ability to influence and align stakeholders across:
Engineering teams
Executive leadership
Design teams
Business stakeholders
Experience leading cross-functional product teams.
Strong communication and stakeholder management skills.

Technical Skills & Knowledge
Understanding of modern software architecture.
Experience working with:
APIs
Cloud platforms
Data infrastructure
Analytics platforms
Ability to read and understand code and participate in technical discussions.

Preferred Experience
Telecom industry experience.
Experience building B2C, B2B2C, or enterprise SaaS products.
Experience delivering products at large scale serving millions of users.
Experience with personalization platforms, recommendation engines, or engagement platforms.
Experience with customer lifecycle management or subscription-based products.

Product Leadership & Mentorship
Experience mentoring or coaching product managers.
Experience improving product processes and product culture.
Experience leading product transformation initiatives.
Thought leadership in product management is a plus.

Core Competencies
Product Strategy & Execution
AI/ML Product Management
Generative AI & LLM Integration
Cross-functional Leadership
Technical Product Ownership
Stakeholder Management
Analytics & Data-driven Decision Making