Manager of Engineering

Future Secure AI; Austin (TX); On-site; USD 200,000 - 320,000; Full time

Job summary

Future Secure AI is seeking a visionary VP of Platform Engineering to own execution across the engineering organization, leading Platform Engineering, DevOps, Cloud, and Data Platforms for an enterprise AI platform. You will ensure delivery, reliability, and operational integrity while balancing velocity with rigorous security and regulatory compliance.

This leader will build a scalable organization, drive capacity planning and budgeting, and own customer relationships through reviews and

Qualifications

• 12+ years of software engineering experience including senior leadership roles.
• Experience shipping platform or infrastructure software into regulated environments with strong security requirements.

Responsibilities

• Lead Platform Engineering, DevOps, Cloud, and ML across multiple teams.
• Coach engineering managers and principals to scale leadership and accountability.
• Own delivery outcomes for the platform roadmap including predictability and velocity.
• Establish scalable development and release processes across the organization.
• Partner with Architecture to ensure alignment with reference architecture and platform direction.
• Own platform strategy and modularity decisions for customer environments.
• Set and uphold standards for code quality, testing, observability, and production readiness.
• Ensure security red lines and tenant isolation meet enterprise expectations.
• Lead incident response and drive durable fixes and governance.
• Collaborate with Product/Architecture/SA to translate customer signals into work.
• Support active enterprise accounts through deployment and governance decisions.
• Communicate tradeoffs honestly to leadership.

Skills

Leadership

Strategic planning

Cross-team collaboration

Delivery management

Cloud infrastructure

Security/compliance

Tools

AWS

Azure

GCP

Kubernetes

GitOps

CI/CD

Job description

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

We are hiring a VP of Platform Engineering to own execution across the FSAI engineering organization, leading Platform Engineering, DevOps, Cloud, and Data Platforms. This leader is accountable for the delivery, reliability, and operational integrity of our enterprise AI Co-Worker platform serving regulated large enterprises and regulated industries. The VP scales the organization and its delivery discipline while keeping engineering execution aligned to platform architecture, security red lines, and enterprise customer commitments, balancing velocity with the production guarantees that regulated buyers require.

This role owns predictable, on-time delivery against customer and roadmap timelines, builds the management layer so Principal Engineers stop being the bottleneck, and drives operational rigor across SLOs, incidents, and quality without suffocating velocity. You’ll find and clear bottlenecks, run capacity planning, own people management and eng budget, and own the delivery relationship with customers through operational reviews.

Responsibilities

• Build and lead a high-performing, multi-team engineering organization spanning Platform Engineering, DevOps, Cloud, and ML
• Hire, develop, and retain senior and principal engineers, establishing leveling, career paths, and clear expectations
• Coach engineering managers and technical leads to scale leadership, ownership, and accountability, fostering a culture of quality, operational rigor, and continuous improvement
• Own delivery outcomes for the platform roadmap, including predictability, quality, and velocity across quarterly commitments
• Establish and evolve development and release processes that scale with the organization and the customer portfolio
• Drive clarity on ownership, cross-team dependencies, and delivery commitments to leadership and customers, ensuring teams execute independently while aligning to shared platform standards
• Partner with Architecture to ensure implementation aligns with the platform reference architecture and long-term platform direction
• Own execution of the platform strategy, including the clean separation of FSAI-owned components from customer-owned infrastructure, and support the modularity decisions that come with serving heterogeneous customer environments
• Set and uphold standards for code quality, testing, observability, and operational readiness in production
• Treat security red lines and tenant isolation as non-negotiable delivery constraints, partnering with Architecture, Security, and Legal so engineering workflows meet enterprise and regulatory expectations
• Lead incident response from an execution and learning perspective, driving durable fixes and policy improvements, and ensure auditability and governance controls are first-class properties of what the organization ships
• Work with Product, Architecture, and the SA function to convert customer signal into prioritized, deliverable engineering work
• Support active enterprise accounts through deployment, escalation, and governance decisions without compromising platform integrity
• Communicate tradeoffs honestly to the leadership team as decisions they own

Minimum Qualifications

• 12+ years of software engineering experience, including senior engineering leadership roles
• Proven track record building and scaling multi-team engineering organizations
• Deep fluency in cloud infrastructure (AWS, Azure, GCP), Kubernetes, and modern GitOps and CI/CD practices
• Experience shipping platform or infrastructure software into regulated or enterprise environments with strong security and compliance requirements
• Ability to operate effectively between strategic planning and hands-on execution

Preferred Qualifications

• Background in AI/ML platforms, agentic systems, or developer platforms
• Experience supporting customer-deployed or hybrid deployment models
• Exposure to a pre-IPO scaling environment

Why Join Us?

• A high-performance culture
• State-of-the-art technology
• Experience world-class leadership
• Scale of impact and purpose
• A competitive salary and a huge growth trajectory
• Work with the best in the industry
• Flexible work environment
• Diversity and creativity