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Technology Manager

Job in South Naperville Area, Will County, Illinois, 60564, USA
Listing for: Grey Parrot Systems LLC
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Grey Parrot Systems (GPARROT) is hiring a dynamic Technology Manager who can run multiple concurrent projects, lead diverse engineering teams, and drive delivery excellence across cloud, AI, and full stack client engagements.

About Grey Parrot Systems

Grey Parrot Systems (GPARROT) is a women-owned, BEP-certified IT services firm headquartered in Naperville, IL. We partner with mid-market enterprises to deliver AI-first, governance-driven digital transformation. Our team of seasoned CIO/CTO practitioners works side‑by‑side with clients across retail, logistics, manufacturing, and healthcare — and we’re growing.

About the Role

This is a hands‑on, high‑energy leadership role for a Technology Manager who thrives in complexity — running multiple projects simultaneously, context‑switching with ease, and keeping engineering teams aligned, unblocked, and shipping. You are equally comfortable discussing architecture, managing stakeholders, enforcing process, and coaching engineers. You do not get flustered when priorities shift — you recalibrate fast and keep delivery moving.

You bring strong technology breadth across cloud, full stack, AI, and enterprise platforms — enough to lead technical conversations, challenge assumptions, and make smart decisions across diverse project types. You embed AI tools into how your teams work, champion governance and quality, and hold a high bar for engineering excellence across every engagement you own.

If you are a dynamic, multi‑dimensional technology leader who has managed multiple concurrent delivery streams and loves the challenge of building great products fast — this role was built for you.

Must‑Have Skills
  • 12+ years of technology experience with 6+ years in an engineering leadership or management role
  • Proven ability to manage multiple concurrent projects — balancing priorities, resources, timelines, and quality across diverse work streams simultaneously
  • Broad technology knowledge — cloud platforms (Azure / AWS / GCP), full stack development (React / Angular / Node.js / Python / Java), APIs, microservices, and AI-integrated applications
  • Strong process and delivery management — Agile / Scrum, sprint planning, backlog grooming, release management, and CI/CD governance
  • Experience leading and directing Vibe Coding teams — engineers using AI coding agents (Claude Code, Cursor, Copilot) to ship fast
  • Experience delivering or overseeing AI-integrated applications — LLMs, RAG pipelines, agentic workflows, or AI-powered product features
  • Dynamic, adaptable leadership style — able to pivot quickly, manage ambiguity, and drive clarity across multiple teams and stakeholders simultaneously
  • Proven ability to lead, mentor, and grow diverse engineering talent — full stack, cloud, AI, QA, and Dev Ops
  • Strong client-facing skills — able to manage expectations, communicate delivery status, and build trust with senior business stakeholders
  • Excellent written and oral communication skills — clear, direct, and effective across technical and non-technical audiences
What You’ll Do
  • Own and manage multiple concurrent technology projects end-to-end — planning, execution, quality, release management, and stakeholder communication across diverse client engagements
  • Lead cross-functional engineering teams spanning full stack development, cloud architecture, AI integration, QA, and Dev Ops
  • Set technical direction across projects — guiding architecture decisions, reviewing code quality, and enforcing engineering standards without being the bottleneck
  • Drive the adoption of AI coding tools and Vibe Coding practices — Claude Code, Cursor, Git Hub Copilot — across all engineering teams to accelerate delivery
  • Oversee AI integration initiatives across projects — LLM-powered features, RAG pipelines, intelligent workflow automation, and agentic systems
  • Partner with product owners, architects, QA leads, and client stakeholders to ensure teams are aligned, prioritized, and unblocked at all times
  • Define, enforce, and continuously improve engineering process standards — delivery governance, code quality, CI/CD, and release management frameworks
  • Manage team velocity, delivery health, and engineering KPIs across multiple projects —…
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