Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$142к-189к/год
$180к$220кмедиана$290к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $4.5к/мес ($3.5к - $6к)
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У роли понятная зона ответственности в AI-продукте, сильный пакет льгот и прозрачный процесс собеседований, но зарплата ниже рыночного ориентира для сопоставимых senior-позиций.
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Ниже рынкаСильный пакетПонятная рольАктуальное направлениеПонятный процесс
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Platform Product Manager (AI): Defining and executing AI product strategy for intelligent agents, automated workflows, and GRC platform capabilities with an accent on trustworthy automation, grounding, auditability, and measurable outcomes. Focus on designing eval-driven development benchmarks, establishing AI safety guardrails, integrating models with backend services, and validating production features through prototypes, usage metrics, and customer feedback.
Location: Remote (US)
Salary: $142,000–$189,000 USD annually; compensation is based on experience and certifications.
Company
Cloud-based Governance, Risk, and Compliance software helps organizations streamline risk and compliance workflows and reduce manual spreadsheet-based work.
What you will do
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 define product requirements, grounding and trust frameworks, eval-driven benchmarks, auditability standards, and AI safety guardrails.
Lead customer-facing AI agents and backend service integrations that automate complex GRC tasks for enterprise customers.
Align executives, engineering, design, GRC experts, and go-to-market teams around platform constraints, evaluation frameworks, model integration standards, and customer use cases.
Build rapid functional prototypes, analyze product usage metrics, establish evaluation benchmarks, and use customer feedback to improve AI features in production.
Advise industry events, executives, and customers as a subject matter expert on AI in governance, risk, and compliance.
Requirements
8+ years of product management experience scaling enterprise SaaS platforms, including 2+ years of direct experience shipping production-grade AI/LLM products and agentic systems.
Strong product leadership in AI applications, with understanding of GRC problem ownership, grounding, trust frameworks, auditability requirements, and eval-driven product development methodologies.
Ability to act as a principal advisor and resolve critical organizational issues and broad design challenges across engineering and product teams.
Exceptional communication skills, including the ability to connect engineering specifications and model evaluations with executive strategy and enterprise customer alignment.
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 have
Hands-on technical background in software engineering, spec-driven development, or data science.
Experience in Governance, Risk, and Compliance, cybersecurity, or highly regulated enterprise environments.
Familiarity with agent measurement tools, Claude Code, or developer-centric AI tooling.
Culture & Benefits
Fully remote work with annual in-person company events and quarterly in-person connects.
Annual compensation reviews, equity, unlimited PTO, and two company-wide Hypercharge rest weeks.
Medical, dental, and vision coverage for employees and dependents, plus a 401(k) with immediate vesting and a 4% company match.
12 weeks of parental leave, a home office stipend, quarterly wellness stipend, and pet insurance discount.
Slack notifications turn off after 5 p.m. according to the employee’s time zone.
Hiring process
Five interview stages: Talent Acquisition, Hiring Manager, and three additional interviews.
Total expected interview time: 3.5 hours.
Routine verification checks, additional experience questions, and camera use without filters or visual modifications may be required for video interviews.
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