Team8 Cyber Fintech Stealth Mode Startup- Head of Engineering (Core Team Position)

About The Position

We are a stealth startup led by experienced founders, backed by Team8, a leading VC firm,  building AI-powered scam prevention solutions, and we’ve just secured seed funding! 

 What you’ll do: 

• Build and lead the company’s engineering function from the ground up, including hiring a core team, defining technical strategy, and executing on the MVP roadmap
• Own the company’s engineering vision and execution, focusing on building the MVP and achieving product-market fit within 12-18 months.
• Help build, deliver against, and design the company’s product roadmap.
• Work closely with design partners and prospective customers to ensure the success of active engagement, synthesizing feedback to make needed changes and improvements to the product.
• Be an integral part of our executive team. 

Preferred Qualities:

• Passion for technology and a strong desire to build innovative and impactful products.
• A data-driven approach to decision-making with the ability to analyze data and draw meaningful insights.
• Strong motivation to be part of a cutting-edge startup redefining the future of scam prevention. 

Requirements:

• 7+ years of proven hands-on production-grade development experience.
• 5+ years of experience in managing high-performing engineering teams and delivering in Agile and Scrum methodologies. 
• Experience with scalable infrastructure and public clouds (AWS/ Azure / GCP).
• Strong understanding of data engineering, data pipelines, and MLOps
• Experience with large-scale SaaS production services, databases, and Big Data.
• Experience implementing and managing DevOps practices and CI/CD architecture.
• Experience building products that revolve around data ingest and analytics.
• Strong technical craft mastery and engineering discipline.
• Deep organization capabilities, especially regarding influence, collaboration, and communication.

Nice to have:

• Experience in fraud prevention/detection, security, or data-driven risk systems.
• Early-stage experience.