Director of Engineering (AI)

Ultimate Staffing is seeking Director of Engieneering in Salt Lake City UT

The Director of Engineering who serves as a strategic leader with client's Engineering organization, responsible for delivering

scalable, reliable, AI-powered consumer experiences. This role is accountable for execution quality, technical direction, team

performance, and operational excellence across one or more product or platform domains. A top priority for this leader is

driving client's transition to an AI-first engineering model, ensuring teams systematically leverage AI-assisted development,

automation, deep learning capabilities, and modern developer productivity tools to improve engineering velocity, product

quality, experimentation, and innovation. This role requires a hands-on technical leader with strong computer science

fundamentals, AI fluency, and experience building high-volume consumer products. The Director will partner closely with

Product, Design, Data, Research, and Operations to translate business priorities into clear engineering plans and durable

technical systems.

Scope & Leveling Indicators

Scope of Ownership: Owns engineering delivery, operational reliability, technical quality, and team effectiveness across one or

more product or platform domains.

Decision Authority: Makes decisions on technical direction, delivery planning, staffing, prioritization, engineering process, and

operational practices.

Autonomy: Operates independently within organizational goals and strategic direction established by the CTO and executive

engineering leadership.

Cross-Functional Influence: Partners closely with Product, Design, Data, Research, and Operations to align roadmap

execution, AI initiatives, platform work, and technical investments with business priorities.

People Leadership: Leads and develops engineering teams, including Software Engineers, QA Engineers, Technical Leads, and

Engineering Managers.

Typical Experience: 8+ years in software engineering, with significant people management, technical leadership, and

AI-enabled product or engineering transformation responsibilities.

Key Responsibilities

Lead engineering teams and managers to deliver product and platform roadmaps with high execution quality, operational

reliability, and team performance.

Drive client's AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep

learning systems, and modern developer productivity tools into daily engineering workflows.

Evaluate and adopt emerging AI, deep learning, and software engineering technologies that improve product innovation,

platform scalability, and engineering productivity.

Partner with Product, Design, Data, Research, and technical leaders on roadmap planning, prioritization, release execution, AI

initiatives, platform modernization, and technical debt reduction.

Establish and uphold engineering standards for architecture, code quality, testing, security, documentation, observability, and

production readiness.

Define and track engineering KPIs for delivery velocity, product quality, system reliability, operational health, and team

effectiveness.

Build and develop high-performing engineering teams through hiring, coaching, performance management, succession

planning, and leadership development.

Lead operational reviews, incident follow-ups, and continuous improvements to engineering execution, reliability, and

readiness.

client's · Internal Role Definition

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Required Qualifications

Bachelor's degree in Computer Science or a closely related technical field.

8+ years of progressive software engineering experience, including technical leadership and people management

responsibilities.

3+ years leading engineering teams, including Software Engineers, Technical Leads, and/or

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.