Lead Product Management & Develop
Dallas, Texas
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.
Key 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
Required Competencies:
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
Required Qualifications
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
Preferred Qualifications
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
What Success Looks Like
Scalable adoption of AI/ML, Computer Vision, and LLM platforms in production
Faster time‑to‑value for analytics, CV, and GenAI use cases
Clear linkage between AI initiatives and measurable business impact
Business and commercial acumen
Our Lead Product Management & Development earn between $143,800 - $215,800 annual. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
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
With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world.
Ready to close the deal on a career with AT&T? Apply today!
Weekly Hours:
40Time Type:
RegularLocation:
Dallas, TexasSalary Range:
$143,800.00 - $215,800.00It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Job ID R-107723 Date posted 04/21/2026
Benefits
Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits.
- Paid Time Off
- Tuition Assistance
- Medical and dental plans
- Discounts
- Training & Development
Our hiring process
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Assessments
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Interview
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