VP, Technology Engineering

Topgolf•Dallas, TX

2d•Onsite

About The Position

The Vice President, Engineering is a strategic technology leader responsible for defining the execution strategy, engineering practices, and architectural principles across our entire application landscape. In this role, you will lead, mentor, and scale high-performing, multi-pod engineering teams to deliver secure, scalable, and resilient software solutions. You will partner closely with Product Management, Security, and Infrastructure leaders to align engineering velocity with enterprise business goals, driving innovation while actively managing technical debt. Work location: This role requires in-office presence 5 days a week at our Venue support center, supporting our venues during standard business hours.

Requirements

10+ Years Minimum of 10 years of progressive software engineering experience, with at least 5+ years in an explicit senior engineering leadership or director-level capacity managing multi-tier teams.
2+ Years Experience building, evaluating and scaling AI-forward engineering tools, automated workflows, and developer-experience platforms to continuously maximize team productivity and coding efficiency.
10+ Years Deep understanding of modern software languages (e.g., Java, Python, Go, C#), event-driven or microservices architecture, and cloud ecosystems (AWS/Azure/GCP).
10+ Years Advanced proficiency in Agile, DevOps, Site Reliability Engineering (SRE), and GitOps principles.
5+ Years Proven experience building secure, enterprise-grade systems subject to data protection, compliance, and strict vulnerability management protocols.
5+ Years Exceptional ability to communicate complex technical paradigms transparently to non-technical executive stakeholders and board members.
High level of accountability with a strong bias to action and a desire to empower individuals on the team to perform at their best.
Strong understanding of product development methodologies, software engineering practices, and agile frameworks.
Excellent leadership skills with the ability to engage in both high-level product strategy discussions and detailed discussions around product development and engineering.
Excellent strategic thinking and problem-solving abilities.
Strong communication, negotiation, and presentation skills.
Ability to collaborate effectively with cross-functional teams and stakeholders.
Continuous learning and willingness and ability to discard obsolete methodologies, habits, or legacy frameworks when a more efficient or secure standard emerges.

Responsibilities

Define and execute the long-term roadmap for AI enabled software engineering initiatives, shared services, and modern application deployment.
Lead and scale multi-agent AI ecosystems and autonomous assistants across the entire SDLC; establish guardrails for AI-generated code, prompt chains, and agentic workflows to safely maximize engineering velocity.
Oversee engineering execution across multiple parallel development cycles, ensuring on-time delivery of high-quality consumer and enterprise features using Agile frameworks.
Institutionalize and enforce software engineering standards, including comprehensive CI/CD pipelines, automated coding and testing, and secure software supply chain practices.
Establish clear SLAs, technical observability standards, and root-cause analysis (RCA) metrics to guarantee system reliability and fast incident resolution.
Oversee the architectural design of high-throughput, low-latency distributed environments and services, ensuring data integrity, compliance, and privacy are baked into the SDLC.
Collaborate with Information Security and compliance teams to proactively identify, mitigate, and resolve software risks.
Act as an organization-wide mentor, coaching directors, managers, and principal engineers while fostering a high-performance, inclusive culture.
Work with Product Management and PMO to optimize IT resource capabilities and capacity across projects.
Oversee key software vendor relationships, licensing compliance, and contract negotiations to control technology spend efficiently.
Responsible for the engineering budget and execution; establish disciplined Cloud FinOps practices to optimize spend (AWS/Azure/GCP) and accurately forecast costs relative to scaling demands.
Formulate business cases for engineering modernization projects, balancing the financial impact and operational risk of technical debt against new feature delivery to maximize development ROI.