At a Glance
- Tasks: Lead the tech strategy and build a top-notch engineering team for an AI recruitment platform.
- Company: Join a fast-growing startup transforming recruitment with innovative AI technology.
- Benefits: Enjoy equity-based compensation and a competitive salary post-Series A funding.
- Why this job: Shape the future of recruitment tech while driving innovation in a dynamic environment.
- Qualifications: Proven experience in senior tech roles, especially in AI or SaaS startups.
- Other info: We value diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 43200 - 72000 £ per year.
A rapidly growing startup revolutionising the recruitment space with an innovative AI-driven platform is seeking an experienced and visionary hands-on Chief Technology Officer (CTO) to lead the technology strategy and execution. This is a unique opportunity to drive technological innovation, spearhead AI/ML integration, and build a world-class engineering team from the ground up. The CTO will play a pivotal role in scaling the platform, ensuring its security and infrastructure are robust, and aligning technology with business objectives.
Key Responsibilities:
- Define and oversee the technical vision, architecture, and execution of the AI-powered recruitment platform.
- Lead the engineering team, ensuring the platform is scalable, secure, and optimised for performance.
- Spearhead AI and machine learning initiatives to enhance job-matching accuracy and candidate recommendations.
- Manage the technical infrastructure, ensuring seamless integration of data sources and automation tools.
- Collaborate closely with product and business teams to align technological development with strategic goals.
- Represent the company’s technical vision to investors and stakeholders, supporting fundraising efforts.
- Recruit, build, and lead a high-performing engineering team, fostering a culture of innovation and excellence.
Key Requirements:
- Proven track record in a senior technical leadership role (CTO, VP of Engineering, or similar) within a high-growth AI or SaaS startup.
- Expertise in AI/ML technologies, data architecture, and scalable cloud-based applications.
- Experience with blockchain and tokenisation is desirable but not essential.
- A strong ability to lead technical teams, drive execution, and scale technology in a fast-paced environment.
- Exceptional problem-solving skills, with a strategic mindset balancing technological innovation with business priorities.
Equity-Based Compensation: A significant equity stake in the company, alongside performance-based incentives.
Salary Component: A competitive salary will be introduced upon securing Series A funding, ensuring an attractive total compensation package.
This is a rare opportunity to take on a leadership role in a cutting-edge AI-driven company and shape the future of the recruitment technology team to drive the company's technology initiatives. We encourage candidates from all backgrounds to apply, reaffirming our commitment to diversity and inclusion, and welcoming applications regardless of race, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Seniority level: Executive
Employment type: Full-time
Job function: Information Technology, Business Development, and Project Management
Industries: Investment Management, Information Services, and Investment Banking
Chief Technology Officer employer: Investinu Group
Contact Detail:
Investinu Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Technology Officer
✨Tip Number 1
Network with professionals in the AI and SaaS sectors. Attend industry conferences, webinars, and meetups to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your leadership experience by discussing past projects where you successfully led a technical team. Be prepared to share specific examples of how you drove innovation and overcame challenges in a fast-paced environment.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and machine learning, particularly in recruitment technology. Being able to discuss current advancements and how they can be applied to enhance job-matching accuracy will set you apart.
✨Tip Number 4
Prepare to articulate your vision for the company's technology strategy. Think about how you would align technological development with business objectives and be ready to present your ideas during interviews.
We think you need these skills to ace Chief Technology Officer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in senior technical leadership roles, particularly in AI or SaaS startups. Emphasise your achievements in driving technology strategy and execution.
Craft a Compelling Cover Letter: Write a cover letter that showcases your vision for the role of CTO. Discuss how your expertise in AI/ML technologies aligns with the company's goals and how you plan to lead the engineering team.
Highlight Relevant Experience: In your application, focus on specific projects where you've successfully implemented AI/ML solutions or scaled technology in a fast-paced environment. Use metrics to demonstrate your impact.
Showcase Leadership Skills: Illustrate your ability to build and lead high-performing teams. Provide examples of how you've fostered a culture of innovation and excellence in previous roles.
How to prepare for a job interview at Investinu Group
✨Showcase Your Vision
As a CTO, it's crucial to demonstrate your vision for the technology strategy. Be prepared to discuss how you would align technology with business objectives and drive innovation within the company.
✨Highlight Your Leadership Experience
Emphasise your experience in leading technical teams, especially in high-growth environments. Share specific examples of how you've built and nurtured engineering teams, fostering a culture of excellence and innovation.
✨Discuss AI/ML Expertise
Given the focus on AI and machine learning, be ready to dive deep into your expertise in these areas. Discuss past projects where you've successfully integrated AI/ML technologies and the impact they had on job-matching accuracy or candidate recommendations.
✨Prepare for Technical Questions
Expect to face technical questions that assess your knowledge of data architecture, cloud-based applications, and security measures. Brush up on relevant technologies and be ready to explain how you would manage the technical infrastructure effectively.