Principal Platform Product Manager

Hyperproof

2d•$142,000 - $189,000•Remote

About The Position

Hyperproof is seeking a visionary, hands-on Principal Platform Product Manager to lead product strategy across its Governance, Risk, and Compliance (GRC) platform. This high-impact individual contributor role owns the holistic AI product strategy and drives the development of agentic systems, trustworthy automation, and evaluation-driven GRC workflows. The role focuses on selecting high-impact problems, grounding AI outputs, and ensuring auditability so intelligent features provide measurable value and outcomes within rigorous compliance guardrails. The Product Manager will define and execute strategy, architecture, roadmap, and delivery for platform AI capabilities, intelligent agents, and automated workflows. Working closely with engineering, GRC experts, executives, design, and go-to-market teams, the role establishes product requirements, trust and grounding frameworks, evaluation benchmarks, model integration standards, and AI safety guardrails. It also involves prototyping, analyzing usage and customer feedback, validating features in production, and representing Hyperproof’s AI and GRC expertise to customers and industry audiences. Hyperproof is a fully remote company. The listed U.S. compensation range is $142,000–$189,000, with the full compensation package based on experience and certifications. The company describes itself as a collaborative, rapidly growing startup building cloud software to streamline risk and compliance workflows.

Requirements

At least 8 years of product management experience scaling enterprise SaaS platforms.
At least 2 years of direct experience shipping production-grade AI/LLM products or agentic systems.
Strong product leadership in AI applications.
Ability to act as a principal advisor and resolve critical organizational issues and broad design challenges across engineering and product teams.
Exceptional communication skills and a track record of bridging technical detail, including engineering specifications and model evaluations, 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 a related technical field, or equivalent practical experience.

Nice To Haves

Deep understanding of GRC problem ownership, grounding, trust frameworks, auditability requirements, and evaluation-driven product development methodologies.
Hands-on technical background in software engineering, spec-driven development, or data science.
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.

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 and grounding frameworks, evaluation benchmarks, auditability, and AI safety guardrails.
Lead development of customer-facing AI agents and backend service integrations that automate complex GRC tasks for enterprise customers.
Collaborate with executive stakeholders, engineering, design, and GRC experts to define constraints, evaluation frameworks, and model integration standards across the platform.
Maintain alignment with go-to-market teams and build customer relationships to guide product innovation around important customer use cases.
Build rapid functional prototypes, analyze product usage metrics, establish evaluation benchmarks, and use customer feedback to validate and improve AI features in production.
Represent Hyperproof as an AI-in-GRC subject matter expert at industry events, executive briefings, and customer advisory sessions.
Translate emerging AI and LLM advances into defensible product opportunities and drive measurable business outcomes that improve platform efficiency and reduce manual compliance effort.
Set the strategic and technical bar for AI product development and elevate cross-functional team capabilities.

Benefits

Annual compensation reviews and equity.
Unlimited paid time off.
Medical, dental, and vision coverage for employees and dependents.
401(k) with immediate vesting and a 4% company match.
12 weeks of parental leave and one year of free diapers and wipes through Honest.
Annual company in-person events and quarterly in-person connections.
$500 home office stipend at hire; additional home office needs may be requested.
$100 quarterly paid wellness stipend.
Pet insurance discount.
Two company-wide Hypercharge weeks of rest each year, in July and December.