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Technical Product Manager AI Infrastructure & Data Platform Job Opening In Dallas – Now Hiring Select Minds LLC


Job description

Benefits:


  • ONSITE

  • Competitive salary

  • Opportunity for advancement





Technical Product Manager, AI Infrastructure & Data Platform   
Work Type: Full-Time, Onsite
Location: Dallas, Texas
Interview Mode: In-Person
Work Auth : Must be authorized to work in the U.S.
Domain: Enterprise AI / Agentic AI / AWS Bedrock


About the Role
We are looking for a Technical Product Manager, AI Infrastructure & Data Platform to lead the vision, strategy, and execution of our enterprise-scale AI infrastructure and data ecosystem.
This role blends deep technical expertise in AI/ML systems with strategic product leadership, ensuring the design and delivery of scalable, secure, and efficient data and AI platforms that power our next-generation agentic and generative AI capabilities.
You will collaborate with engineering, data science, and architecture teams to deliver reliable and high-performance foundations for AI products across the organization — spanning model orchestration, multi-agent coordination, data pipelines, and ML lifecycle management.
This position is ideal for a seasoned product leader passionate about building enterprise-grade AI infrastructure, driving platform adoption, and enabling data-driven innovation at scale.

Key Responsibilities

Platform Vision & Strategy:
 

  • Define and execute the product vision and roadmap for the AI Infrastructure & Data Platform, aligning with enterprise AI and digital transformation strategies.

  • Lead the evolution of the underlying data fabric, MLOps, and agentic infrastructure enabling large-scale AI model training, deployment, and automation.

  • Partner with engineering and architecture teams to establish standardized agent frameworks, API ecosystems, and developer-facing tools.

  • Evaluate emerging technologies (e.g., AWS Bedrock, SageMaker, LangChain, LangGraph) and integrate them into the platform strategy.

Product Delivery & Execution

  • Translate business and technical requirements into actionable epics, features, and prioritized backlogs.

  • Partner with program management on PI Planning, dependency mapping, and milestone definition for each release cycle.

  • Drive the development and adoption of reusable data pipelines, orchestration layers, and service APIs that power enterprise AI applications.

  • Collaborate with Change Management to ensure readiness for platform releases, documentation, and stakeholder training.

Data & ML Platform Enablement

  • Define and manage the data platform strategy, including ingestion, governance, lineage, cataloging, and real-time data access.

  • Enable consistent, high-quality, and auditable data pipelines for AI and ML workloads.

  • Partner with AIOps/AgentOps to build systems for agent evaluation, observability, and performance monitoring.

  • Collaborate with Security, Compliance, and Legal to uphold enterprise AI governance standards and responsible AI practices.

  • Stakeholder & Customer Engagement

  • Collaborate with enterprise teams, data scientists, and engineers to identify pain points, gather feedback, and validate product-market fit.

  • Communicate product vision and technical trade-offs effectively to executive, business, and technical audiences.

  • Ensure customer satisfaction and drive continuous platform adoption through proactive engagement and measurable impact.


Qualifications
Education

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
Experience

  • 8+ years of product management experience, with at least 3 years focused on AI/ML platforms, data infrastructure, or cloud systems.

  • Proven track record of delivering scalable platform products in complex enterprise environments.

  • Deep experience with cloud platforms (AWS, Azure, GCP), data pipeline tools, and modern MLOps ecosystems.

  • Familiarity with agentic AI frameworks, LLM architectures, RAG pipelines, and autonomous systems.

Technical Skills

  • Strong understanding of distributed systems, APIs, microservices, and data integration architectures.

  • Hands-on experience or working knowledge of:

  • AWS Bedrock, SageMaker, Lambda, ECS, EMR

  • LangChain, LangGraph, or similar agentic frameworks

  • Airflow, Databricks, Kafka, Spark, and Delta Lake

  • Monitoring and observability tools (Prometheus, Grafana, MLflow)

  • Knowledge of data governance, lineage tracking, and responsible AI frameworks.

  • Soft Skills

  • Exceptional communication, collaboration, and stakeholder-management skills.

  • Strong analytical and strategic thinking; able to balance short-term delivery with long-term platform evolution.

  • Adept at translating complex technical concepts into clear business value propositions.

  • Passionate about building developer-centric, scalable, and ethical AI systems.

Why Join Us

  • Be part of a high-impact Agentic AI initiative driving innovation across industries.

  • Work with cutting-edge AI and data technologies in a collaborative, forward-thinking environment.

  • Shape the foundation for enterprise-wide AI enablement and intelligence automation.



Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Technical Product Potential: Insight & Career Growth Guide


Real-time Technical Product Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Technical Product in Dallas, United States, highlighting market share and opportunities for professionals in Technical Product roles.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Select Minds LLC adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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3. Impartiapty

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6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Dallas. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Technical Product Manager AI Infrastructure & Data Platform Job Success

Select Minds LLC interview tips for Technical Product Manager AI Infrastructure & Data Platform

Here are some tips to help you prepare for and ace your Technical Product Manager AI Infrastructure & Data Platform job interview:

Before the Interview:

Research: Learn about the Select Minds LLC's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Technical Product Manager AI Infrastructure & Data Platform interview at Select Minds LLC, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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