aiproduct managementllmsaasstartupgrcai safetyagentic systemsauditabilityeval driven development
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$142к-189к/год
$180к$200кмедиана$240к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $4.8к/мес ($4к - $5.8к)
88
Крутая вакансия
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В роли понятная ответственность за важное AI-направление, сильные enterprise-сценарии и редкие для стартапа чёткие правила отдыха и коммуникации; главный компромисс - широкий масштаб задач для одной senior-позиции.
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Широкая зона ответственностиФокус на современном AIЗащита времени отдыхаПотенциал роста
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Platform Product Manager (AI): Defining and executing AI product strategy for a GRC platform, including agentic systems, intelligent agents, and automated compliance workflows with an accent on grounding, auditability, and measurable outcomes. Focus on building eval-driven development frameworks, establishing AI safety guardrails, validating production features, and translating LLM advances into enterprise product opportunities.
Location: Fully remote within the United States.
Salary: $142,000–$189,000 USD annually; full compensation package is based on candidate experience and certifications.
Company
hirify.global develops a cloud-based GRC software platform that helps organizations streamline governance, risk, and compliance workflows and reduce manual compliance effort.
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, evaluation 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 on platform constraints, model integration standards, and priority customer use cases.
Build functional prototypes, analyze product usage metrics, establish evaluation benchmarks, and use customer feedback to improve AI features in production.
Act as a subject matter expert on AI in GRC through industry events, executive briefings, and customer advisory sessions.
Requirements
8+ years of product management experience scaling enterprise SaaS platforms, including 2+ years of direct experience shipping production-grade AI/LLM products or 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 and a track record of bridging technical depth, 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 have
Hands-on technical background in software engineering, spec-driven development, or data science.
Experience in GRC, cybersecurity, or highly regulated enterprise environments.
Familiarity with agent measurement tools, Claude Code, or developer-centric AI tooling.
Culture & Benefits
Fully remote work within the United States, with annual in-person company events and quarterly in-person connections.
Annual compensation reviews, equity, unlimited PTO, and two company-wide Hypercharge rest weeks in July and December.
Medical, dental, and vision coverage for employees and dependents; 401(k) with immediate vesting and a 4% company match.
12 weeks of parental leave, one year of free diapers and wipes, a $500 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 is 3.5 hours.
Routine verification checks, additional experience questions, and on-camera video interviews without filters or visual modifications may be required; a valid non-VOIP phone number is required.
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