Dir Software Development Engineering

UKG

About The Position

The Director, GTM Engineering, is a leadership position within UKG’s Digital group, reporting to the Vice President of GTM Product Experience. The role is pivotal in transforming the enterprise systems landscape by leveraging cutting-edge technologies to accelerate value delivery and improve efficiencies. A strong emphasis is placed on strategic thinking, technical expertise, and collaborative problem-solving with stakeholders and product teams. Experience with Salesforce implementations is mandatory for candidates. This position offers an opportunity to influence a rapidly growing and strategically important area at UKG.

Requirements

Strong interpersonal and communication skills with proven presentation abilities.
Advanced analytical, troubleshooting, and programming skills in complex technical environments.
Minimum of 15 years in enterprise-level software development, including at least 10 years managing high-energy software teams.
Bachelor’s degree in computer science or equivalent experience.
At least 3+ years in a director-level role.
Demonstrated high intellect, integrity, and positive leadership energy.
Extensive experience in software engineering for complex, scalable products across multiple technologies and platforms.
Proficiency with Agile development methodologies.
Proven success with Salesforce implementations, including Salesforce Einstein and Agentforce.

Nice To Haves

Desired experience in product integrations and API technologies.
Ability to attract and develop top talent, motivate high-performing teams, and manage change effectively.

Responsibilities

Lead by example in reinforcing company values and culture, inspiring confidence, and strengthening the management team.
Foster strong cross-functional partnerships across Sales, Engineering, Product Management, and Services.
Manage cross-geography teams to deliver a world-class GTM product experience.
Innovate by incorporating AI-driven solutions to modernize GTM systems and support scalable growth.
Apply AI technologies to: Automate seller workflows and approvals
Surface real-time insights, recommendations, and next-best actions
Reduce manual effort across quoting, ordering, and deal execution
Partner with AI, data, and platform teams to design responsible, secure, and scalable AI integrations.
Drive measurable business outcomes from AI initiatives
Design and deploy self-service tools that empower sellers and enhance sales effectiveness.
Implement systems that accelerate time to value, including AI solutions, automated workflows, and real-time analytics.
Conduct stakeholder research to inform robust architectural designs.
Oversee program execution from product definition through release and ongoing support.
Maintain deep expertise in SaaS enterprise application delivery.