Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$269к-373к/год
$200к$230кмедиана$260к
По похожим ролям (50) ~ $230к/год
89
Крутая вакансия
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У роли четкая ответственность на уровне директора и заметное влияние на развитие data- и AI-фундаментa Company hidden; при этом важно учитывать требование проводить четыре дня в офисе.
Выше рынка
Масштабное руководство
Фокус на AI
?Четыре дня в офисе
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director, Data Engineering (Fintech): Leading data foundations and insights for a financial technology platform with an accent on modern data architecture, governance, and analytics and AI use cases. Focus on setting a multi-year technical roadmap, shaping foundations for Chime's AI transformation, and balancing architecture, reliability, cost, and business outcomes at scale.
Location: San Francisco, CA, USA; onsite role with four days a week in the office and Fridays from home for employees near a hirify.global office
Base salary: $269,000–$373,000 USD annually; eligible full-time employees may also receive bonuses, equity, and benefits.
Company
hirify.global is a financial technology company providing user-friendly financial tools and platforms that help members make financial progress.
What you will do
Lead and grow an organization of engineering managers and staff engineers.
Set the multi-year technical vision and roadmap for data foundations, linking investments to business and member outcomes.
Shape data architecture supporting analytics, ML, and hirify.global's AI transformation.
Build partnerships with product, analytics, ML, risk, and business leaders while balancing competing priorities.
Hire, coach, and develop leaders while building a culture of trust, candor, and inclusion.
Requirements
Experience leading engineering organizations through managers, including managing managers and staff-level engineers.
Track record of building trusted partnerships with cross-functional partners and senior stakeholders and aligning them through competing priorities.
Deep understanding of modern data architecture, including ingestion, transformation, storage, governance, and data serving for analytics and ML/AI use cases.
Experience setting technical strategy and multi-year roadmaps and presenting investment cases to executives.
Sound judgment on architecture trade-offs at scale, including batch versus real-time, build versus buy, and cost versus reliability, with sufficient technical depth to earn credibility with staff engineers.
Clear, concise written and verbal communication with technical and non-technical audiences.
Nice to have
Experience building data foundations for AI and LLM-powered tools.
Experience working in fintech or another regulated industry.
Culture & Benefits
In-office policy with four office days and Fridays from home near company offices; a fully remote program is also available according to company policy.
Comprehensive health, financial, and wellbeing benefits, including backup care and subsidized commuter benefits for eligible employees.
Generous vacation, company-wide paid days off, an annual wellness stipend, and paid parental leave of up to 22 weeks for birthing parents and 12 weeks for non-birthing parents.
Family planning reimbursement and time off to support local community organizations.
Inclusive, entrepreneurial environment focused on integrity, collaboration, diverse perspectives, and member outcomes.
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