Engineering Enablement & Analytics Lead (on-site)

Ziosk

Plano (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Ziosk in Plano, TX is seeking an Engineering Enablement & Analytics Lead to enhance developer productivity and operational excellence. This role will involve leading cross-functional engineering programs, improving engineering workflows through AI and automation, and defining performance metrics.

The ideal candidate should have over 5 years of experience in program management or technical roles and a strong background in managing software releases. Join us in transforming the restaurant industry!

Qualifications

  • 5+ years of Program Management, Technical Program Management, or related experience in software development.
  • Strong experience managing software releases and cross-functional initiatives.
  • Demonstrated experience building and using AI agents in workflows.

Responsibilities

  • Lead cross-functional engineering programs and design reviews.
  • Manage initiative planning and engineering capacity.
  • Improve engineering workflows with AI and automation.

Skills

Program Management
Technical Program Management
Release Management
AI Implementation
Workflow Automation

Tools

Jira

Job description

Engineering Enablement & Analytics Lead (on-site) – Plano, TX

Welcome to Ziosk, where we’re helping restaurants focus on what matters most: their guests! Have you ever used a tablet to pay at a restaurant? We are the OGs for the pay-at-the-table concept and we’re cooking up a plan to transform the restaurant industry. Our recipe for success has been adapting and growing to exceed the needs of our clients, such as Olive Garden, Texas Roadhouse, Chili’s and more – helping them create an experience that keeps guests coming back. Today we have a full menu of solutions, from hardware to software to cloud-based products, all focused on helping them create the best guest experience possible to grow their bottom line.

Our secret sauce? Our people! They’re ordering up never‑been‑done solutions every single day and they’re the reason why we’re the leading pay‑at‑the‑table provider and only growing from there.

Want a seat at our table? We are seeking an Engineering Enablement & Analytics Lead to help teams improve delivery predictability, developer productivity, release quality, and operational excellence through analytics, tooling, automation, and process improvements. The ideal candidate combines strong technical acumen, business insight, and a passion for enabling engineering teams to operate at scale. This role will partner closely with engineering leadership to establish meaningful performance metrics, drive continuous improvement initiatives, and identify opportunities to accelerate software delivery through AI‑enabled solutions and workflow optimization.

The Main Course – Responsibilities
  • Lead cross‑functional engineering programs, release readiness activities, enhancement prioritization and design reviews.
  • Support the transition and ongoing management of initiative planning, intake processes, and engineering capacity‑management responsibilities.
  • Evaluate and improve engineering workflows, leveraging AI agents and automation to increase efficiency and reduce manual effort.
  • Build, implement, and promote the use of AI‑powered agents to streamline engineering and operational processes.
  • Define and maintain effective engineering frameworks, including developer productivity, delivery performance, quality, and operational health metrics.
  • Facilitate engineering planning processes, including roadmap alignment, capacity planning, dependency management.
  • Administer Jira, including workflows, fields, automation, dashboards, and reporting.
What You Bring To The Table – Qualifications
  • 5+ years of Program Management, Technical Program Management, Release Management, or related experience within a software development organization.
  • Strong experience managing software releases and coordinating cross‑functional initiatives.
  • Demonstrated experience building, implementing, and using AI agents within daily workflows and business processes.
  • Experience improving workflows, implementing automation, and driving operational efficiencies.
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