Senior Product Manager- AI & Agentic

Future Secure AI; Austin (TX); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible work environment

High-performance culture

State-of-the-art technology

Growth opportunities

Job summary

Future Secure AI is seeking a Senior Product Manager to oversee the AI layer's evaluation capability for their enterprise AI platform. In this role, you will define quality metrics for AI Co-Workers and ensure compliance with industry standards.

Key responsibilities include managing the evaluation lifecycle, collaborating closely with engineering teams, and ensuring that the AI design meets enterprise-grade quality. Ideal candidates will have experience in AI evaluation suites and a strong understanding of regulatory compliance.

This role offers a competitive salary, flexible work environment, and opportunities for professional growth.

Qualifications

• Demonstrated experience in evaluation suites for AI features.
• Direct experience with production agent systems.
• Familiarity with regulatory compliance across industries.

Responsibilities

• Own the evaluation capability for AI Co-Workers.
• Ensure compliance with enterprise governance standards.
• Drive discovery and prototyping for AI primitives.

Skills

Experience in AI evaluation suites

Understanding of foundation models

Experience with non-determinism in AI

Familiarity with NIST AI RMF

Experience in production agent systems

Job description

Future Secure AI is building groundbreaking solutions at the frontier of AI, tackling real‑world problems for global enterprises across multiple industries with state‑of‑the‑art technology and a culture that prizes courage, rigor, and relentless curiosity.

About the Company

Our BRAVER values are not just words on a wall—they describe the kind of people we are and the standards we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open‑door policy that means you never need to be just a number. We invest seriously in your growth because we know our success depends on yours.

About the Role

Senior Product Manager – AI Layer for our enterprise agentic AI platform. You will own the AI layer’s evaluation capability, trust and governance posture, observability and explainability primitives, and agent‑design patterns that engineering teams use to build AI Co‑Workers for our enterprise customers. Your goal is to make the AI layer reliable, auditable, and adoptable in regulated environments, ensuring every AI Co‑Worker built on the platform inherits enterprise‑grade quality. You will operate as a peer of engineering and AI/ML leadership, directly impacting 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

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.