Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая зона ответственности на уровне principal, заметное влияние и связь с enterprise AI дают сильный технический масштаб, но ранняя стадия компании означает больше неопределённости, чем в зрелом продукте.
Principal Data Platform Engineer (AI): Building the data backbone that powers AI agents, from API ingestion and system-of-record integrations to agentic data discovery, workflows, and automation with an accent on performance, reliability, security, and data governance. Focus on designing trustworthy data layers for enterprise workflows, setting platform standards, and shaping architecture across engineering, Product, and customer engagements.
Location: Hybrid in San Francisco
Company
hirify.global builds an enterprise platform that uses continuously updated system knowledge to help IT organizations deliver business change faster through AI agents.
What you will do
Own the full data platform vertical, from API ingestion and systems of record to agentic data discovery, workflows, and automation.
Define platform standards for performance, reliability, security, data governance, SLAs, observability, and end-to-end handling of sensitive enterprise data.
Design the data layer that enables AI agents to find, understand, and act on customer data accurately and reliably.
Raise engineering standards through architecture and design reviews, technical writing, and mentorship of senior engineers.
Translate ambiguous enterprise IT and business requirements into platform strategy and represent the data platform in strategic customer and Product conversations.
Bring clarity and structure to open-ended technical problems while operating with high autonomy.
Requirements
10+ years of industry experience, including several years as the technical lead or architect of large-scale data platforms or distributed systems in production.
Experience setting technical direction for long-lived systems, platforms adopted by other teams, technical standards, and durable architecture decisions.
Experience building for enterprise customers, with security, access control, compliance, and data governance central to the design.
Ability to influence beyond the immediate team and align engineering, Product, and customers on difficult tradeoffs without formal authority.
Strong expertise in data modeling, infrastructure, and API design, supported by systems built, operated, and evolved in production.
Culture & Benefits
Early-stage AI company with meaningful technical ownership and direct access to founders.
Immediate and visible impact on products targeting the enterprise IT market.
Competitive compensation including equity and benefits.
100% employer-paid health plan coverage for employees.
Equal employment opportunity and an inclusive environment that values diverse perspectives.
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