F

Future Secure AI

Delivers persona-based, multi-agent enterprise AI Co-Workers

Platform Engineering Manager

Full-Time
$215k - $245k
Senior
Austin, TX, USA
In Person
Engineering ManagementEngineering Leadership

About the job

Requirements
  • At least 6 years of software engineering experience, including at least 2 years in an engineering management role.
  • A proven track record of leading and growing high-performing engineering teams.
  • Fluency in cloud infrastructure such as AWS, Azure, or GCP, Kubernetes, and modern GitOps and CI/CD practices.
  • Experience shipping platform or infrastructure software into regulated or enterprise environments with security and compliance requirements.
  • Ability to balance hands-on technical judgment with day-to-day people management.
Responsibilities
  • Lead one or more engineering teams within Platform Engineering, hiring and developing engineers at all levels.
  • Set clear expectations, career paths, and leveling guidance for team members in partnership with broader engineering leadership.
  • Own delivery outcomes for the team's portion of the platform roadmap, including predictability, quality, and velocity across quarterly commitments.
  • Run and continuously improve development and release processes for the team.
  • Clearly surface ownership, cross-team dependencies, and delivery risk to engineering leadership.
  • Partner with Architecture to ensure the team's implementation aligns with the platform reference architecture.
  • Set and uphold standards for code quality, testing, observability, and operational readiness within the team's scope.
  • Treat security red lines and tenant isolation as non-negotiable delivery constraints, partnering with Architecture and Security as needed.
  • Lead incident response for the team's systems from an execution and learning perspective, driving durable fixes.
  • Work with Product and Architecture to convert customer and roadmap signals into prioritized, deliverable engineering work.
  • Support customer escalations and operational reviews involving the team's systems.
  • Communicate tradeoffs and risks clearly to engineering leadership.
Desired 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.

About the company

Future Secure AI builds persona-based, multi-agent AI Co-Workers designed for large enterprises and private equity firms. Their core offering, Red-Zone AI Co-Workers, consists of over 100 agent personas that automate complex, high-stakes workflows. The agents integrate with a client’s core systems and governance frameworks and operate securely on the client’s network, remaining cloud- and LLM-agnostic to avoid vendor lock-in. Workflows run within a hybrid team, with AI Co-Workers reporting to human managers and maintaining human-in-the-loop oversight. The company differentiates itself by targeting mission-critical environments with on-premise deployment, strong governance, and integration into existing IT and security controls, rather than generic AI tools. Their stated goal is to deliver 10x to 20x ROI on operating costs, often paying for themselves within six months. Clients span infrastructure, services, finance, health, and connected economies.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

Get referred to Future Secure AI

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • September 2026 pre-IPO fundraising reached a $1.8 billion valuation cap.
  • April 2026 Austin HQ and triple-hiring plan signal aggressive scaling.
  • Customers cite Macquarie, Healius, FIS, and Toga for finance and operations wins.

What critics are saying

  • ServiceNow and Salesforce shipped agent platforms in 2026, compressing differentiation quickly.
  • September 2026 TTAB appeal shows trademark vulnerability around Future Secure AI branding.
  • Multi-agent systems raise security and cascading-failure risks across privileged enterprise systems.

What makes Future Secure AI unique

  • Red-Zone AI targets complex, mission-critical workflows beyond copilots or simple agents.
  • On-network, cloud-agnostic deployments with 100+ agents reduce lock-in for regulated enterprises.
  • Persona-based co-workers report to human managers, fitting hybrid enterprise teams and governance.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Flexible Work Hours