Staff Security Manager (AI & Product Security)

1w1 week ago

Productboard

Prague, CZ · Full-time · €85,000 – €130,000

About this role

The way software is built is changing fast with AI-native product development redefining security threats. At Productboard, being AI-native is the entire focus, centered on Spark, our AI-first product management experience. We seek a Staff Security Manager to own end-to-end security posture for Productboard Spark and AI capabilities in a critical backfill role on a small, high-impact team.

You will lead security architecture for LLM-powered workflows, agents, and connectors touching sensitive data, automate security tasks using AI agents, and shape AI governance including ISO/IEC 42001 alignment. Partner directly with Engineering, Product, Legal, and Sales on Spark security from design reviews to customer due diligence. This hybrid role is based in Prague or Brno offices.

AI-first is the operating model across Engineering, Product, Design, and Security. Product teams use Spark and AI tooling for discovery, spec writing, code review, and incident response. The AI stack uses leading LLM providers with strict data controls, building AIMS aligned to ISO/IEC 42001 on SOC 2 and ISO 27001.

Spark is live with customers, tested via bug bounty, open beta, and penetration testing. Ensure this AI-first way remains secure, compliant, and explainable without slowing the organization. Build skills in AI-aware threat modeling, LLM security architecture, AI governance, secure agent workflows, and customer AI risk communication defining senior leadership.

Requirements

Deep understanding of security for AI-driven systems
Expertise in AI-aware threat modeling
Experience with LLM security architecture
Knowledge of AI governance and assurance including ISO/IEC 42001
Skills in secure agent workflows
Ability to handle customer-facing AI risk communication
Familiarity with application security reviews and threat modeling for AI integrations
Understanding of multi-tenant AI agents and trust boundaries

Responsibilities

Own product and application security for Spark and core Productboard
Lead security reviews and threat modeling for Spark Jobs, Prompts, connectors (MCP), and LLM integrations
Define and harden trust boundaries for multi-tenant AI agents that access customer feedback and product strategy docs
Partner with Engineering to build secure patterns for AI-powered document generation, retrieval-augmented generation (RAG), and agent workflows
Lead AI security architecture and governance including translating AI Management Policy (AIMS), AI Terms, and internal AI policies
Automate security operation tasks using AI agents
Shape implementation of AI governance aligned to ISO/IEC 42001
Work with Engineering, Product, Legal, and Sales on Spark-related security and customer due diligence

Benefits

Office-centric hybrid schedule
Work at intersection of application security, AI safety, governance, and customer trust
Join small, high-impact Security team
Contribute to AI Management System (AIMS) and policies