Lead Product Management & Develop

AT&T • Dallas, TX

1d • Onsite

About The Position

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered. Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it. We are seeking a Lead Product Owner with a strong foundation in data engineering and hands‑on experience across AI/ML, Computer Vision, and Large Language Model (LLM) platforms to lead the strategy, roadmap, and delivery of scalable data and intelligence platforms across cloud (AWS), edge, and hybrid environments. This role bridges business strategy and advanced AI execution, translating complex use cases into production‑grade analytics, ML, and GenAI solutions. We are pioneers of making connections and have been ever since Alexander Graham Bell invented the telephone and founded our company. That was nearly 150 years ago, and we haven’t stopped innovating since. At our core, we help bring families, communities, and businesses together with the products and services they need to thrive every day. From the widespread and growing availability of 5G and Fiber to working on things we once only dreamed of—at AT&T, we create connections that change the world.

Requirements

• Data Engineering & Platforms Experience with data ingestion, preprocessing, transformation, and governance pipelines
• Hands‑on familiarity with PostgreSQL and structured data modeling
• Experience supporting batch and streaming analytics workloads
• Machine Learning – Hands‑On Experience with supervised and unsupervised learning techniques
• Working knowledge of Regression, Clustering, KNN, Decision Trees, Random Forest
• Familiarity with Bagging, Boosting, and XGBoost
• Understanding of Gini Index, Entropy, and Information Gain
• Experience with model performance evaluation and improvement
• Experience with Computer Vision ML, including image/video‑based feature extraction, object detection or classification, and integrating CV models into analytics or AI workflows
• Exploratory Data Analysis Hands‑on experience with EDA, data preprocessing, and feature engineering
• Experience conducting Univariate and Bivariate Analysis
• Ability to translate analytical outputs into business recommendations
• LLM & GenAI Platforms Hands‑on experience with Large Language Models (LLMs) and GenAI workflows
• Experience using Amazon Bedrock for model access, embeddings, and orchestration
• Familiarity with Anthropic models (Claude / Sonnet or similar)
• Experience implementing Retrieval‑Augmented Generation (RAG) patterns
• Understanding of prompt engineering, grounding, and context management
• Vector & Search Systems Hands‑on experience with OpenSearch for hybrid and vector search
• Familiarity with embedding generation, storage, and similarity search
• Programming & Analytics Tools Hands‑on experience with Python
• Proficiency with NumPy, Pandas, and Seaborn
• Experience reviewing notebooks, POCs, and analytics pipelines
• Cloud, Edge & Hybrid Experience working with AWS cloud‑native services
• Familiarity with edge inference and hybrid cloud‑edge architectures
• Understanding of latency, cost, and deployment trade‑offs
• 5+ years of experience in Product Management or Product Ownership
• Strong background in data platforms, analytics, AI/ML, and GenAI systems
• Proven ability to work across business, engineering, and data science teams
• Strong communication skills with technical and executive stakeholders

Nice To Haves

• Experience with MLOps / LLMops practices
• Exposure to conversational AI, RAG systems, or agent‑based architectures
• Experience in IoT, edge AI, real‑time analytics, or computer vision domains
• Demonstrated Learn → Apply → Repeat mindset from hands‑on ML or GenAI projects

Responsibilities

• Own the end‑to‑end product lifecycle for Data, AI/ML, Computer Vision, and LLM platforms
• Define platform roadmaps aligned with business outcomes and customer value
• Translate AI/ML and GenAI capabilities into clear, actionable product requirements
• Partner with engineering, data science, and architecture teams to deliver scalable, secure platforms
• Drive prioritization, Agile execution, and outcome‑based delivery
• Evaluate build vs. buy decisions across data, ML, CV, and GenAI stacks

Benefits

• Health insurance
• Tuition reimbursement
• Paid time off
• Discounts on products and services
• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees