Director of Product Engineering is a full-time hybrid role based in Austin, Texas, that suits an experienced technology leader with a strong background in managing multi-level engineering organizations. This position requires working onsite three days per week.
Role Overview
The Director of Product Engineering is an executive technology leader responsible for defining and executing long-term engineering strategies that align with business objectives. Based in Austin, Texas, this hybrid position involves overseeing multiple engineering organizations through engineering directors and managers to ensure scalable execution of product and platform roadmaps. The professional in this role partners with executive leadership to shape technology investments, organizational design, workforce planning, and engineering strategy while driving operational excellence and innovation.
Key Responsibilities
Develop and execute long-term engineering strategies aligned with the company vision and business objectives.
Partner with the CTO and executive leadership to define technology investments, organizational priorities, and strategic initiatives.
Lead organizational planning across multiple engineering functions to ensure resource alignment with business needs.
Establish engineering governance, operating rhythms, and decision-making frameworks to improve execution and accountability.
Champion innovation by identifying emerging technologies, artificial intelligence capabilities, and engineering best practices.
Recruit, hire, coach, develop, and retain exceptional engineering leadership and technical talent.
Drive modernization initiatives that improve platform scalability, reliability, security, performance, and developer productivity.
Set and drive the organization's artificial intelligence strategy, partnering with Product, Data, and Machine Learning teams.
Own engineering operating plans, workforce planning, and budget forecasting across multiple engineering organizations.
Establish executive-level KPIs, organizational scorecards, and performance metrics to measure engineering effectiveness.
Requirements
Twelve or more years of progressive engineering leadership experience in high-growth technology organizations.
Seven or more years leading engineering managers, directors, and multi-level engineering organizations.
Demonstrated success leading organizations of one hundred or more engineers across multiple functional areas.
Proven experience developing engineering leaders while building scalable, high-performing organizations.
Experience defining long-term engineering strategy and executing organizational transformation initiatives.
Experience partnering directly with executive leadership to influence company strategy and technology investments.
Experience owning workforce planning, organizational design, budgeting, and resource allocation.
Proven track record implementing engineering governance, operational excellence, and continuous improvement initiatives.
Experience shipping artificial intelligence and machine learning powered products including personalization, recommendations, search relevance, large language models, and artificial intelligence-native engineering practices.
Demonstrated success leveraging artificial intelligence-assisted development tools to improve engineering productivity, quality, and delivery.
Strong understanding of modern software architecture, cloud platforms, distributed systems, security, and scalable engineering practices.
Exceptional executive communication skills with the ability to influence leaders across all organizational levels.
Experience leading globally distributed engineering organizations in agile environments.
Nice to Have
Experience within marketplace, software-as-a-service, or consumer technology organizations.
Experience leading engineering organizations through rapid scale, organizational transformation, mergers, acquisitions, or initial public offering readiness.
Experience integrating third-party large language models, foundation models, and establishing responsible artificial intelligence governance.
Experience building artificial intelligence-first engineering organizations and implementing enterprise artificial intelligence strategies.
Experience presenting technology strategy and organizational performance to executive leadership, boards of directors, or investors.
Experience leading globally distributed engineering organizations across multiple regions and time zones.
Skills and Tools
Cloud platforms
Distributed systems
Large language models
Foundation models
Artificial intelligence and machine learning tools
Agile methodologies
Salary and Benefits
Base pay range of $230,060 to $259,500
About the Company
Weedmaps operates a technology ecosystem encompassing web, mobile, cloud, artificial intelligence, and machine learning platforms. The company engages in marketplace and consumer technology services, bringing together engineering, product, design, infrastructure, security, data, and operations teams.
How to Apply
Interested candidates should apply on the official company careers page.
