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Job description
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 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
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
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
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 Engineering Managers.
Strong AI fluency, including practical experience applying AI-assisted development, automation, machine learning, deep learning, or AI-powered product capabilities.
Proven experience building, scaling, and operating high-volume consumer-facing products and services.
Strong technical depth in one or more areas such as mobile engineering, backend systems, cloud infrastructure, distributed systems, AI/ML platforms, or platform engineering.
Experience driving engineering transformation initiatives, including AI adoption, developer productivity improvements, automation, or platform modernization.
Deep understanding of modern software development practices, including agile delivery, CI/CD, testing automation, observability, and operational excellence.
Demonstrated ability to balance speed, quality, scalability, reliability, and business priorities.
Strong communication, stakeholder management, and cross-functional leadership skills.
Preferred Qualifications
Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.
Experience building AI-powered consumer features, deep learning systems, recommendation systems, personalization platforms, audio/video technology, or creator tools.
Experience working with globally distributed engineering organizations.
Passion for music, creativity, and social connection.
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.
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Worksite address
salt lake city, UT, 84193, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.