Principal Platform Product Manager
New
H
HyperproofGRC software
Remote USAFull-TimePrincipal
Salary$142,000 — $189,000 USD
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Job Details
- Experience
- 8+ years of product management experience scaling enterprise SaaS platforms, with 2+ years of direct experience shipping production-grade AI/LLM products, agentic systems.
- Required Skills
- Product Management
Requirements
- Have 8+ years of product management experience scaling enterprise SaaS platforms.
- Have 2+ years of direct experience shipping production-grade AI/LLM products or agentic systems.
- Bring strong product leadership in AI applications.
- Understand AI product grounding, trust frameworks, auditability requirements, and eval-driven product development methodologies.
- Be able to advise on critical organizational issues and broad design challenges across engineering and product teams.
- Demonstrate exceptional communication skills bridging technical depth with executive strategy and enterprise customer alignment.
- Have experience establishing AI safety, governance, verifiable results, and precision guardrails in production software.
- Hold a bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field, or have equivalent practical experience.
- Hands-on software engineering, spec-driven development, or data science experience is a plus.
- GRC, cybersecurity, or highly regulated enterprise domain experience is a plus.
- Familiarity with agent measurement tools, Claude Code, or developer-centric AI tooling is a plus.
Responsibilities
- Own the end-to-end strategy, architecture, roadmap, and execution for platform AI capabilities, intelligent agents, and automated workflows.
- Partner with engineering and GRC subject matter experts to author product requirements and establish trust, grounding, and auditability frameworks.
- Define evaluation benchmarks and maintain AI safety guardrails for eval-driven development.
- Lead customer-facing AI agents and backend service integrations that automate GRC tasks.
- Collaborate with executive stakeholders, engineering, design, and GRC experts on constraint spaces, evaluation frameworks, and model integration standards.
- Align with go-to-market teams and build customer relationships to guide product innovation around important use cases.
- Build rapid functional prototypes, analyze product usage metrics, and use customer feedback to validate and improve AI features in production.
- Represent the company as an AI in GRC subject matter expert at industry events, executive briefings, and customer advisory sessions.
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