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AI-native Technical Program Manager

StoneGate-Technologies LLCDallas, TX🇺🇸United StatesPosted Sep 28, 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Dallas, TX, United States

Posted

21 hours ago

ConfluenceJiraStakeholder Management

Job Description

Job Title: AI-native Technical Program Manager

Location: Dallas , TX (Onsite)

Skills & Experience

Proven experience orchestrating large-scale technical programs by aligning architecture, engineering dependencies, and delivery across multiple teams and platforms.
Strong technical fluency in distributed systems, APIs, enterprise integrations, and cloud-based platforms to effectively manage system complexity and technical trade-offs.
Experience managing complex cross-team dependencies, technical risks, and integration challenges across enterprise systems.
Ability to partner closely with engineering leaders, architects, and product managers to translate technical strategy into executable delivery plans.
Skilled in driving program execution through clear milestones, dependency mapping, and risk mitigation strategies.
Strong analytical and problem-solving capabilities with experience using program metrics, delivery dashboards, and data insights to support decision-making.
Excellent stakeholder management and communication skills with the ability to explain complex technical programs to both engineering teams and executive leadership.
Hands-on proficiency with core program delivery tools including Jira, Confluence, and Lucid.
Demonstrated proficiency and daily hands-on use of AI productivity tools to accelerate program delivery, including LLM-based assistants (e.g., Claude, OpenAI/ChatGPT) and AI agents embedded in the Atlassian suite (e.g., Atlassian Rovo for Jira/Confluence), as well as Microsoft Copilot. Able to apply these tools for automated status and dashboard reporting, backlog and Jira setup automation, meeting/documentation summarization, and AI-assisted risk, dependency, and data analysis.

Qualifications

Bachelor s or master s degree in computer science, Information Systems, Engineering, or related technical field.
8+ years experience delivering large-scale technology programs across multiple engineering teams.
Technical background in software engineering, systems architecture, or infrastructure platforms.

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