Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Virginia Mac is a dynamic and results-oriented technology leader with over 15 years of experience in software engineering, product management, and strategic innovation. Currently based in Austin, Texas, she has a proven track record of building and scaling high-performing teams, delivering complex enterprise-level software solutions, and driving digital transformation initiatives. Virginia is passionate about leveraging emerging technologies like AI and cloud computing to solve real-world problems and create impactful user experiences. She is known for her collaborative leadership style, her ability to bridge the gap between technical and business stakeholders, and her commitment to fostering a culture of continuous learning and improvement within her organizations. Outside of her professional life, Virginia is an advocate for women in STEM and enjoys mentoring early-career professionals.
Virginia Mac's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the architecture and development of a novel SaaS platform for enterprise resource planning, which received the 'Tech Innovator of the Year' award in 2022 and grew its user base by 300% within two years of launch.
Orchestrated the successful migration of legacy infrastructure for a Fortune 500 company to a hybrid cloud environment, resulting in a 40% reduction in operational costs and a 25% improvement in system scalability and resilience.
Delivered a keynote presentation on 'The Future of AI in Business Process Automation' at the Global Tech Summit 2023, attended by over 2,000 industry leaders and C-suite executives.
Co-inventor of a patented algorithm for efficient large-scale data processing, significantly improving data analysis speeds for big data applications.
UC Irvine - Year 2008
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
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