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Future Secure Ai

60 Future Secure Ai Jobs Hiring Near You

Future Secure AI

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

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 ...

Future Secure AI

AI Engineer, Software

Austin, TX · On-site

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 ...

Future Secure AI

AI Engineer, Software

Austin, TX · On-site

Future Secure AI is building innovative solutions in the AI space, seeking AI Engineers to develop their product and platform. The role involves leading customer engagements, enhancing tech solutions ...

Future Secure AI

Head of Product Operations

Austin, TX · On-site

$231K - $241K/yr

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 ...

Future Secure AI

Sr. AI/ML Engineer, Platform

Manhattan, NY · On-site

$115K - $158K/yr

Future Secure AI is building innovative solutions at the frontier of AI, tackling real-world problems for global enterprises. They are seeking a highly skilled Sr. AI/ML Software Engineer to ...

Future Secure AI

Platform Technical Program Manager

Austin, TX · On-site

$127K - $165K/yr

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 ...

Future Secure AI

Sr. AI/ML Engineer, Platform

Austin, TX · On-site

$103K - $142K/yr

Future Secure AI is building innovative solutions at the frontier of AI, and they are seeking a highly skilled Sr. AI/ML Software Engineer to join their core Platform Team. This role involves ...

Future Secure AI

Platform Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

Future Secure AI is a company focused on building innovative AI solutions for global enterprises. They are seeking a talented Infrastructure Engineer to design, build, and maintain the infrastructure ...

Future Secure AI

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Future Secure AI is building innovative solutions at the forefront of AI technology, seeking a Site Reliability Engineer to design, build, and operate the platforms that power AI Co-Workers. The role ...

Future Secure AI

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 ...

Future Secure AI

Platform Solutions Architect

Austin, TX · On-site

$62.50 - $82.25/hr

Future Secure AI is a company focused on building innovative solutions at the frontier of AI. They are seeking a talented Solutions Architect to design, build, and maintain the infrastructure for ...

Future Secure AI

Manager of Engineering

Austin, TX · On-site

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 ...

Future Secure AI

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

Future Secure AI is building innovative solutions at the forefront of AI technology. They are seeking a Site Reliability Engineer to design, build, and operate platforms that support AI Co-Workers ...

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Future Secure Ai Jobs Information

Infographic showing various job openings at Future Secure Ai in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, and 29% Remote job distribution.

Senior Product Manager- AI & Agentic

Austin, TX • On-site

Future Secure AI
See more jobs at Future Secure AIexternal

$125K - $165K/yr

Full-time

Re-posted 22 days ago

Job description

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
Future Secure AI is looking for a Senior Product Manager to own the AI layer of our enterprise agentic AI platform. You will be responsible for the evaluation of capability, trust and governance posture, observability and explainability primitives, and the agent-design patterns that engineering teams use to build AI Co-Workers for enterprise customers. Your goal is to make the AI layer reliable, auditable, and adoptable in regulated environments, so every AI Co-Worker built on the platform inherits enterprise-grade quality. You will operate as a peer of engineering and AI/ML leadership, with direct impact on whether AI Co-Workers reach scale in regulated industries.
Responsibilities
  • Own the platform's evaluation capability and the quality bar that every AI Co-Worker must meet before it ships, spanning offline, online, regression, and rubric-based dimensions
  • Advance the platform's AI governance posture covering trust, explainability, observability, and audit to meet the bar set by enterprise compliance reviews across regulated industries
  • Own the platform's agent-design primitives (planning, tool use, memory, retries, circuit breakers, human-in-loop checkpoints) and the patterns that guide engineering teams to use them well
  • Own the model and prompt lifecycle: how versions are introduced, evaluated, promoted, and retired, with change management appropriate to enterprise customers
  • Drive discovery through interviews with platform engineers, production behavior analysis, frontier research, and enterprise customer conversations, and prototype eval and guardrail primitives before committing engineering capacity
  • Partner closely with engineering leadership to ensure the platform delivers a reliable, intuitive experience for teams building agentic AI Co-Workers
  • Own value risk and viability risk: ensure engineering teams adopt your primitives as the fastest path to a reliable AI Co-Worker, and that governance, observability, and audit features satisfy enterprise compliance requirements

Minimum Qualifications
  • Demonstrated experience building or owning an evaluation suite for an AI feature in production, including offline benchmarks, online evals, regression evals, and rubric-based grading
  • Nuanced understanding of foundation models, agent architectures, and AI evaluation, with the ability to simplify that complexity for executive, business, and regulated-customer audiences
  • Direct experience with non-determinism in AI systems; able to write acceptance criteria that hold up under flaky model behavior and set quality SLAs that do not break the team
  • Experience shipping or working closely on a production agent system, with informed opinions on planning loops, tool use, memory, retries, guardrails, and when an agent is the wrong abstraction
  • Familiarity with NIST AI RMF and the EU AI Act, and the ability to map enterprise compliance requirements across banking, insurance, and healthcare to platform primitives
  • Experience living through an AI incident, root-causing it, and shipping the fix into the platform so downstream teams inherit the improvement

Preferred Qualifications
  • Background as an AI or ML PM at an enterprise AI platform, an AI tooling vendor, or a model lab
  • Experience in a product role at a regulated-industry AI team that has shipped to production
  • Familiarity with RAG patterns, eval tooling, agent frameworks, and the broader AI tools landscape
  • ML-leaning PM background at a company that has matured past the prototype phase

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

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.
Future Secure AI Privacy Policy
At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

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