About the RoleAs 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 for candidates to express interest is by applying with your resume through our company website.
