Job Opportunities API

About the Company   At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. About the Role   As an Engagement Lead at Future Secure AI, you own the full lifecycle of building and deploying an AI Co-Worker — from Discovery through Proof of Concept, MVP, production deployment, and performance monitoring. You lead the team that builds, and you are accountable for the outcome.   Working directly with enterprise clients, you will translate client needs into scoped AI solutions, design AI Co-Worker logic and user experiences, and build deployment roadmaps. You will be the face of Future Secure AI with our customers throughout the build phase, partnering closely with cross-functional teams across data science, engineering, QA, and delivery to ensure high-quality outcomes and sustained client satisfaction.   Responsibilities   Own the full engagement lifecycle from Discovery through Proof of Concept, MVP, production deployment, and performance monitoring   Translate enterprise client needs into scoped AI solutions, designing AI Co-Worker logic and user experiences   Build and manage deployment roadmaps, scoping builds and delivering under pressure across complex, multi-stakeholder environments   Serve as the primary client-facing lead throughout the build phase, maintaining strong relationships and clear communication at all levels including C-suite   Lead cross-functional delivery teams across data science, engineering, QA, and delivery, ensuring alignment and high-quality outcomes   Manage change requests and maintain delivery momentum while protecting scope and client satisfaction   Minimum Qualifications   10 years of professional work experience, including 5 years in Product or Consulting; Product Management experience highly preferred   5+ years of experience working and leading via the agile methodology   Demonstrated ability to move from strategic ambiguity to an executable plan   Confidence leading cross-functional teams and operating at C-suite level   Strong bias toward ownership, delivery, and outcomes over recommendations   Strong analytical and problem-solving skills with the ability to drive clarity from ambiguity, synthesize complex data, and articulate recommendations   Preferred Qualifications   Experience with AI, automation, or advanced analytics; hands-on technical development is not required   Why Join Us?   A high-performance culture   State-of-the-art technology   Experience world-class leadership   Scale of impact and purpose   A competitive salary, performance incentives, and equity participation   Work with the best in the industry   Flexible work environment   Diversity and creativity   Disclaimer : We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way