VP Engineering

We are seeking a passionate technologist with a background in building SaaS tech experience and products for a unique opportunity to lead Engineering for an AI-powered Financial Operations platform. This platform aims to seamlessly monitor, optimize, reconcile, and forecast cashflow with ease. This role offers a rare opportunity for a VP Engineering to join a top-tier incubated VC SaaS startup with an exceptional management team. The product is currently in the build stage with a solid design partners pipeline of approximately $250K and is soon raising a pre-seed/seed round with marquee investors. As the VP Engineering, your responsibilities will include developing and implementing the company's technical strategy and roadmap to ensure alignment with overall business objectives. You will be tasked with managing and optimizing technical resources, such as staffing, software, hardware, and infrastructure, to ensure effective and efficient utilization. Collaborating with the founding team and executives, you will identify opportunities for innovation and new technology solutions, evaluating their feasibility and impact on the business. Leading the engineering function, you will oversee the development and deployment of high-quality software products and solutions that meet or exceed customer requirements and industry standards. Analysis and evaluation of technical data and metrics will be essential to identify areas for improvement and drive efficiency and effectiveness. Additionally, ensuring compliance with legal and regulatory requirements, including data privacy and security regulations, will be a key aspect of this role. The ideal candidate should have at least 6 years of experience in developing scalable SaaS products and a strong technical background with a focus on SaaS, AI, and finance software. Prior experience in leadership roles and an entrepreneurial mindset are highly desirable, with a strong desire to innovate and grow a startup from the ground up. Perks of this role include vested equity, ownership in the company, and the opportunity to work alongside passionate and intelligent individuals. Key Skills: SaaS, Engineering Management, Artificial Intelligence (AI), Data Engineering, Financial Services.,