Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$200к-250к/год
$200к$240кмедиана$260к
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Это четко описанная роль с заметным влиянием, высокой оплатой и акциями, но зарплата ниже рыночного ориентира, а работа с проблемными клиентами может быть напряженной.
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Ниже ориентираСложные клиентыЧеткая зона ответственностиСовременный AI-стекЩедрый пакетAI в HR-технологиях
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployment Product Manager (AI): Defining technical success for complex enterprise accounts, leading forward-deployed engineering squads, and building customer-facing prototypes with AI tools with an accent on enterprise deployments, executive alignment, and commercial decision gates. Focus on diagnosing ambiguous account problems, deciding what should be built or refused, validating integrations and AI behavior, and converting successful custom work into platform capabilities.
Location: Hybrid; employees must work from a US office hub at least two days per week or eight days per month. Hubs: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area.
Base salary: $200,000–$250,000 for New York City and San Francisco; $180,000–$225,000 for Austin and Arlington. Equity is offered.
Company
hirify.global provides human transformation and coaching solutions that combine human expertise with AI capabilities.
What you will do
Define technical success, write account charters, establish gates, and set clear commitments for complex enterprise accounts.
Diagnose whether blockers are technical, commercial, political, or organizational, and keep engineering focused on the right work.
Own technical relationships with CIOs, CHROs, procurement leads, security architects, customers, and internal executives.
Lead squads of two to three forward-deployed engineers without direct people management.
Build customer-facing prototypes with Claude, Cursor, Replit, and Figma Make; configure prompts, flows, LLM context, and guardrails.
Close engagements through platform graduation, paid or drawdown-funded work, or termination, while maintaining evidence on activation, utilization, and commercial influence.
Requirements
7+ years in product management, solutions architecture, or a forward-deployed role, including several years owning technical relationships for enterprise accounts with seven- or eight-figure contract values.
Experience turning around troubled accounts involving damaged trust, failed prior attempts, or incumbent competitors.
Enterprise deployment experience, including working with customer HRIS systems, security questionnaires, procurement, and stalled rollouts.
Technical depth to read API documentation, reason about data pipelines, configure LLM context and guardrails, and assess solutions against customer security requirements.
Credibility communicating with executive stakeholders on both the customer and internal sides, including delivering difficult news.
Experience in B2B2C environments serving an enterprise buyer and the people that buyer supports.
Relentless ownership, humility, judgment about what generalizes, disciplined prioritization, executive communication, AI-native fluency, and comfort making decisions with incomplete information.
Nice to have
Expertise in organizational transformation, human transformation, or talent intelligence.
Experience as a forward-deployed engineer or PM, solutions architect, sales engineer, enterprise consultant, implementation lead, founder, early startup employee, or enterprise SaaS PM focused on customer intimacy.
Culture & Benefits
Hybrid collaboration with in-person work when necessary.
Personal hirify.global coaching, including coaching access for a friend or family member, plus a development plan and trained manager.
Medical, dental, and vision insurance; flexible paid time off; federal/statutory holidays; and company-wide summer and winter breaks.
Four hirify.global Inner Workdays, five volunteer days, charitable contributions, and 401(k) self-contributions.
AI-forward environment emphasizing experimentation, continuous learning, shared discoveries, human judgment, and creativity.
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