Lead Product Management & Develop
About The Position
Join AT&T and reimagine the communications and technologies that connect the world. The Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. This role is for 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. The successful candidate will lead the strategy, roadmap, and delivery of scalable data and intelligence platforms across cloud (AWS), edge, and hybrid environments. This position bridges business strategy and advanced AI execution, translating complex use cases into production-grade analytics, ML, and GenAI solutions.
Requirements
- 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
- 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
- Hands-on experience with EDA, data preprocessing, and feature engineering
- Experience conducting Univariate and Bivariate Analysis
- Ability to translate analytical outputs into business recommendations
- 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
- Hands-on experience with OpenSearch for hybrid and vector search
- Familiarity with embedding generation, storage, and similarity search
- Hands-on experience with Python
- Proficiency with NumPy, Pandas, and Seaborn
- Experience reviewing notebooks, POCs, and analytics pipelines
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
