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Shadow Systems Jobs in Dallas, TX (NOW HIRING)

Electrical Technician IV

Fort Worth, TX · On-site

$24.75 - $33/hr

... documentation systems * Follow all safety standards, site requirements, and company procedures * Shadow and assist with lower tier technicians to share knowledge, troubleshooting techniques ...

Electrical Technician IV

Fort Worth, TX · On-site

$24.75 - $33/hr

... documentation systems * Follow all safety standards, site requirements, and company procedures * Shadow and assist with lower tier technicians to share knowledge, troubleshooting techniques ...

Customer Service Representative

Arlington, TX

$14.50 - $19.50/hr

Shadow three Implementation Specialists, gaining an understanding of the setup and training that ... As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and ...

Job shadow Operations Specialists * Identify training and cross-training needs * Conduct on-the-job ... Familiarity with warehouse management systems or Red Prairie WMS is a plus. The salary is ...

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Showing results 1-20

Shadow Systems information

See Dallas, TX salary details

$35.6K

$67.7K

$114.8K

How much do shadow systems jobs pay per year?

As of Aug 11, 2026, the average yearly pay for shadow systems in Dallas, TX is $67,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $84,100.00 per year, depending on experience, location, and employer.

What are common challenges faced by shadow systems engineers, and how can they be managed?

Shadow Systems Engineers often encounter challenges such as detecting unauthorized devices or software in large, complex networks and ensuring users adhere to established security protocols. Addressing these issues requires a proactive approach using advanced monitoring tools and clear communication with end-users and IT teams. Documenting findings and educating employees about shadow IT risks can also help mitigate recurring problems. Staying updated on evolving threats and maintaining strong relationships with other departments enables engineers to respond quickly and effectively to new developments.

What is a shadow systems?

A Shadow Systems job typically involves working with covert or classified technology, cybersecurity, or specialized IT infrastructure. Professionals in this role may focus on securing data, managing hidden networks, or supporting operations that require discretion. These positions are often found in government, defense, or private security sectors where confidentiality is crucial. Responsibilities can include ethical hacking, penetration testing, system monitoring, or intelligence analysis. Due to the sensitive nature of the work, security clearances and specialized training may be required.

What are the key skills and qualifications needed to thrive in the shadow systems position, and why are they important?

To thrive as a Shadow Systems Engineer, you need a strong background in information technology, networking, and cybersecurity, backed by a relevant degree or certifications such as CompTIA Security+ or CISSP. Proficiency with security tools, intrusion detection/prevention systems, and enterprise networking platforms is essential for monitoring and identifying unauthorized IT systems or 'shadow IT.' Attention to detail, problem-solving ability, and strong communication help identify risks while collaborating discreetly across departments. These skills are vital to maintaining organizational security and compliance by uncovering and addressing unsanctioned technology usage.

What job categories do people searching Shadow Systems jobs in Dallas, TX look for? The top searched job categories for Shadow Systems jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Shadow Systems jobs? Cities near Dallas, TX with the most Shadow Systems job openings:
Infographic showing various Shadow Systems job openings in Dallas, TX as of August 2026, with employment types broken down into 8% Internship, 75% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $67,701 per year, or $32.5 per hour.

Senior Product Manager, Store Systems & Operations

GameStop

Grapevine, TX • On-site

$116K - $154K/yr

Full-time

Re-posted 13 days ago


GameStop rating

4.6

Company rating: 4.6 out of 10

Based on 428 frontline employees who took The Breakroom Quiz

673rd of 732 rated retailers


Job description

As we modernize and innovate in our retail operations, we are seeking an experienced Senior Product Manager, Store Systems & Operations to lead the strategy, development, and optimization of our store systems technology. You will own the platforms and tools that power retail store operations - POS, inventory management, store communications, and operational software - enabling store teams to deliver a seamless, efficient, and engaging customer experience. You will also help evaluate and manage technology needs for current and future trading card game (TCG) ventures. This role demands a proactive, hands-on, AI-native operator who digs into complex detail independently and drives both strategic and tactical outcomes.
First-12-month outcomes you'll own: (1) a prioritized, outcome-based store-systems roadmap tied to measurable operational KPIs; (2) at least one AI/automation capability shipped into store or support workflows with proven impact; (3) a continuous-discovery and experimentation cadence with store teams.
This position sits onsite 5 days a week in Grapevine, TX.
Responsibilities:
Product Ownership:
  • Lead the vision, roadmap, and execution for store systems technology, including POS, inventory management, store communications tools, and operational software.
  • Frame the roadmap around outcomes and OKRs (operational and customer impact), not a feature output list.
  • Act as the primary business owner for store-related technology tied to new initiatives, including upcoming TCG projects.

AI-Native Product Leadership:
  • Champion an AI-native operating model - using AI for discovery synthesis, documentation, data analysis, and rapid prototyping as the default way of working.
  • Identify, evaluate, and prioritize AI and automation opportunities across store operations, support tooling, and product workflows.
  • Own outcomes for AI-powered features, including model/quality metrics (e.g., accuracy, false-positive rate, latency) and guardrails for non-deterministic behavior.
  • Define evaluation and rollout discipline for AI features - A/B tests, shadow/pilot deployments, and gradual rollouts with clear success criteria.

Operational Excellence:
  • Partner with Store Operations, IT, and other stakeholders to streamline processes, reduce operational friction, and enable store teams to deliver exceptional service.
  • Ensure store systems are stable, efficient, and aligned with compliance, security, and corporate standards.

Cross-Channel Integration:
  • Work with digital, merchandising, and supply chain teams to ensure store systems integrate effectively with ecommerce, order management, and fulfillment.

Product Development & Enhancement:
  • Manage the product lifecycle for store technology - from requirements and prioritization to testing, launch, and post-release optimization.
  • Collaborate with engineering, UX, and vendor partners to deliver reliable, user-friendly tools for store associates.
  • Run continuous discovery (not episodic) - ongoing store-team feedback, pilots, and rapid iteration to reduce decision latency.

Data-Driven Decisions:
  • Leverage operational data, store feedback, and performance metrics to identify opportunities and measure the success of system changes.
  • Define and track the small set of metrics that prove impact; be willing to kill features with evidence.

Market & Technology Awareness:
  • Stay current with retail technology trends, POS innovations, and operational best practices to inform strategy.
  • Evaluate new solutions and vendors that could enhance store operations or support TCG initiatives.

Required Skills:
  • Bachelor's degree in Business, Information Systems, Computer Science, or related field.
  • 3-5 years of product management or related experience in retail store systems, POS, or operational technology.
  • 3+ years working with cloud technology solutions (e.g., AWS, Azure, Google Cloud).
  • Proven track record managing technology products or platforms in a multi-store retail environment.
  • Strong understanding of store operations workflows and pain points.
  • Experience working with cross-functional teams including store operations, IT, merchandising, and supply chain.
  • Fluent with Agile/Scrum and tools (e.g., JIRA, Confluence), and with outcome-based roadmapping and OKRs.
  • Analytical mindset with the ability to use data to make informed product decisions.
  • Data literacy sufficient to reason about AI/ML outputs - interpreting model performance, false positives/negatives, and experiment results.
  • Excellent communication and stakeholder management skills, including the ability to say no with evidence and keep executive sponsorship.

Preferred Skills:
  • Demonstrated use of AI tools (e.g., ChatGPT, Copilot, Gemini) to improve productivity, automate documentation, analyze data, or accelerate product work - with examples of real outcomes, not just tool familiarity.
  • Comfort evaluating AI-powered vendor solutions and distinguishing genuine capability from marketing claims.
  • Experience defining or contributing to SRE or operational reliability processes for store or large-scale distributed systems.
  • Experience building or overseeing tools that support field teams, help desks, or store associates in diagnosing and resolving system issues.
  • Experience with vendor selection and management.
  • Passion for gaming, collectibles, or TCGs is highly preferred.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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