CTO - Chief Technology Officer

July 23

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Zyte

WebsiteLinkedInAll Job Openings

Web crawling • Web scraping • Scraping • Scrapy • Data Science

201 - 500 employees

Founded 2015

🔌 API

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $3M Debt Financing on 2021-12

Description

• Oversee the engineering, research and development, and IT teams to deliver high-quality, innovative solutions that align with our business needs and market demands. • Collaborate with the CEO and executive team to shape strategy, drive initiatives and ensure technology investments align with business objectives. • Ensure Zyte’s systems deliver excellent performance when collecting data from changing websites and under increasing customer workloads. • Foster a culture of continuous improvement and technical excellence. • Communicate complex technical concepts effectively internally and externally and represent the company as a thought leader.

Requirements

• Proven experience as a CTO or similar leadership role within a scaling company, preferably with a deeply technical product. • Strong strategic thinking and business acumen, with the ability to align technology initiatives with business goals. • Exceptional leadership, team-building, and mentorship skills, with a track record of managing and scaling technical teams. • Comfortable with public speaking and experienced in presenting to diverse audiences, including technical and non-technical stakeholders. • In-depth knowledge of modern software development practices, cloud infrastructure, data engineering, AI/ML and other relevant technologies. • A proactive problem solver, comfortable getting into the details when required and prepared to take decisive action to overcome technical obstacles, ensuring the seamless execution of complex projects.

Benefits

• Influence Zyte's strategic direction and shape the web data industry. • Become part of a self-motivated, progressive, multi-cultural team and have the freedom to work remotely for a remote-first company. • Join us as we are on the verge of making enormous amounts of data useful in a way that was impossible before.