Principal Product Manager - AI Security

Designation: Principal Product Manager - AI Security

Experience: 8 to 10+ years

Overview

• Quilr is building the security layer enterprises need to adopt GenAI safely, with real-time guardrails,

evidence-grade logging, and operational workflows that security teams can run every day.

• This role is for an AI security expert who can translate AI risks into enforceable product capabilities,

and who can partner with engineering to design telemetry, decisioning, and enforcement that works

across users, apps, agents, and tools.

• You will own the core AI security experience from discovery through response, with a high bar for

technical correctness, quality, and customer trust.

Characteristics

Product CEO ownership (vision -> outcomes)

• Acts as the mini-CEO for their product area: understands customer + business goals, sets direction,

and is accountable for results end-to-end (not just shipping tickets).

Customer + market leadership

• Deep customer empathy and discovery chops: talks to users, synthesizes feedback, anticipates needs,

and translates insights into a clear roadmap and crisp problem statements.

Technical + engineering-first execution

• Highly technical PM who can work shoulder-to-shoulder with engineering/architecture: understands

systems, tradeoffs, APIs/data flows, NFRs, and can drive high-quality solutions without hand-holding.

Operating rigor (plan, scope, risk, quality)

• Runs execution like a GM: prioritization, scope control, delivery cadence, metrics, escalation with

mitigation plans, and a high bar for quality (AC/DoD/NFRs). Cuts waste and prevents "quick hacks"

becoming permanent.

Cross-functional alignment + influence

• Connective tissue across Eng/Design/Docs/PMM/Support/Sales/Leadership: aligns stakeholders,

drives decisions, communicates clearly, and leads through influence - especially in fast-changing

environments.

What you will own

AI Security across AI usage discovery, AI asset modeling, interaction monitoring, guardrails,

detections, risk scoring, and response workflows. You will define what is risky, what is allowed, and

what happens next, and you will ensure the system is explainable and operationally usable.

Key responsibilities

• Own the AI Security roadmap across discovery, asset model, monitoring, guardrails, detections,

scoring, and response workflows.

• Translate AI risks into enforceable capabilities, including prompt injection, data leakage, policy

violations, unsafe tool use, and anomalous usage patterns.

• Partner with engineering on telemetry design, event schemas, risk scoring logic, explainability, and

enforcement integration.

• Define policy model and workflows for approvals, exceptions, user coaching, and security operations

handoffs.

• Set and enforce NFRs for latency, reliability, privacy, and evidence integrity across high-volume

interaction data.

• Drive customer discovery with CISOs, security teams, and AI platform owners to validate workflows

and prioritize coverage.

• Align Eng, Design, Docs, PMM, Support, and Sales on narratives, rollouts, and customer-facing

outcomes.

Minimum qualifications

• 8 to 10+ years of Product Management experience building enterprise security or platform products

(endpoint, SSE, identity, security analytics).

• Highly technical PM who can partner directly with engineering and architecture on systems, APIs, data

flows, and NFR tradeoffs.

• Track record shipping products that balance precision, recall, usability, and operational trust at

enterprise scale.

• Strong writing and operating discipline: clear requirements, acceptance criteria, and quality bars.

Preferred qualifications

• Hands-on familiarity with LLMs, agentic workflows, RAG, tool calling, and AI governance patterns in

enterprise settings.

• Experience with SOC workflows, investigation tooling, and high-signal alerting at scale.

• Experience designing explainable risk scoring or policy outcomes that customers can defend to

leadership and auditors.