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
Wade Lowry is a seasoned and innovative technology leader based in Austin, Texas, with approximately 15 years of distinguished experience in software engineering, specializing in Artificial Intelligence and Machine Learning. He is deeply passionate about architecting and developing scalable, high-impact solutions that address complex business challenges. Wade has a strong background in leading cross-functional teams, driving product vision from conception to deployment, and fostering a culture of technical excellence. He is recognized for his strategic thinking, problem-solving abilities, and commitment to leveraging data-driven insights to achieve tangible results. Outside of his core technical work, Wade is an advocate for continuous learning and enjoys exploring emerging technologies that can redefine user experiences and operational efficiencies.
Wade Lowry's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the development and successful deployment of a cutting-edge machine learning-based recommender system, resulting in a 25% increase in user engagement for a flagship product and a 15% uplift in conversion rates.
Spearheaded a strategic initiative to migrate critical legacy services to a modern cloud-native architecture (AWS), achieving a 40% reduction in operational costs and significantly improving system scalability and resilience.
Recognized company-wide for outstanding technical contributions and dedication to mentoring junior engineers, fostering a collaborative and high-performing engineering culture. Contributed to the skill development of over 20 engineers.
Active contributor to a popular open-source machine learning library, focusing on enhancing its natural language processing capabilities. Merged several key pull requests improving model accuracy and processing speed.
Texas A&M University - Year 2001
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.
SLB (formerly Schlumberger) is a global technology company, driving energy innovation for a balanced planet. With a global footprint in more than 100 countries and employees representing almost twice as many nationalities, SLB works each day on innovating oil and gas, delivering digital at scale, decarbonizing industries, and developing and scaling new energy systems that accelerate the energy transition. Their expertise spans from exploration and production to integrated solutions that optimize reservoir performance and sustainability.
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