Senior Platform Product Manager
Hyperproof, a governance-risk-compliance (GRC) SaaS company, is hiring a Principal Platform Product Manager to own its end-to-end AI platform strategy — building agentic systems, LLM-driven workflows, eval benchmarks, and AI safety/auditability guardrails that automate compliance work for enterprise customers. Fully remote within the US.
- Compensation
- $142K–$189K / yr
- Location
- United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 1+ years
- Category
- Product
- Posted
Skills
Must have
- 8+ years of product management experience scaling enterprise SaaS platforms
- 2+ years of direct experience shipping production-grade AI/LLM products and agentic systems
- Strong product leadership in AI application
- Ability to act as a principal advisor resolving critical organizational issues and broad design challenges across engineering and product
- Exceptional communication skills bridging technical depth (engineering specs, model evals) with executive strategy and enterprise customer alignment
- Demonstrated experience establishing AI safety, governance, verifiable results, and precision guardrails in production software
- Bachelor's degree in Computer Science, Mathematics, Engineering, or related technical field (or equivalent practical experience)
Nice to have
- Deep understanding of GRC problem ownership, grounding, trust frameworks, auditability requirements, and eval-driven product development methodologies
- Hands-on technical background in software engineering, spec-driven development, or data science
- Domain experience in Governance, Risk, and Compliance (GRC), cybersecurity, or highly regulated enterprise environments
- Hands-on familiarity with agent measurement tools, Claude Code, or developer-centric AI tooling
Full description
About us
Hyperproof is on a mission to transform the Governance, Risk, and Compliance (GRC) world with a powerful new software platform. With Hyperproof, companies can save time and money while also operating their programs at a much higher level of effectiveness and accountability. We envision a world where organizations we depend on are truly trustworthy - and Hyperproof is the platform that will get them there.
We have a great team and culture - picture yourself in a highly collaborative startup environment where you can make a real impact on something truly important. It’s an exciting time to be at Hyperproof; we raised our Series B round in 2023, validating our teamwork and company vision, and we continue to grow rapidly.
We are seeking a visionary and hands-on Senior Platform Product Manager to serve as a product leader and GRC domain strategy owner across our platform. In this high-impact individual contributor role, you will define and execute our holistic AI product strategy, driving the next generation of agentic systems, trustworthy automation, and eval-driven GRC workflows. You will focus on high-impact problem selection, grounding, and auditability to ensure our intelligent features deliver provable value and measurable time-bound outcomes within rigorous compliance guardrails.
WHAT YOU WILL DO
- AI Product Vision & Strategy: Own the end-to-end strategy, architecture, roadmap, and execution for Hyperproof’s platform AI capabilities, intelligent agents, and automated workflows covering the full spectrum of the platform capabilities.
- Eval-Driven & Strategic Product Leadership: Partner directly with engineering and GRC subject matter experts to author detailed product requirements, establish trust and grounding frameworks, define rigorous eval-driven development benchmarks, and maintain strict auditability and AI safety guardrails.
- Agentic Workflows & Automation: Lead the innovation of customer-facing AI agents and backend service integrations that automate complex, everyday GRC tasks for enterprise customers.
- Cross-Functional Architecture Alignment: Collaborate with executive stakeholders, engineering, design, and GRC domain experts to define constraint spaces, evaluation frameworks, and model integration standards across the platform. Ensure continuous partnership and alignment with go-to-market teams and establish strong customer relationships that drive product innovation aligned with the most important customer use cases.
- Data-Driven & Experimental Validation: Build rapid functional prototypes, analyze product usage metrics, establish rigorous eval benchmarks, and leverage customer feedback to continuously validate and improve AI features in production.