Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$195к-237к/год
$200к$230кмедиана$250к
По похожим ролям (49) ~ $230к/год
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Крутая вакансия
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В Company hidden чётко описана руководящая роль на большой платформе данных, с современными технологиями и значимыми задачами в AI и блокчейне; широкий круг ответственности потребует умения расставлять приоритеты.
?Широкая зона ответственности
Современный стек
AI и блокчейн
Понятные обязанности
Продуктовая компания
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager, Software Engineering, Data Platform (Blockchain): Building and operating Circle’s data platform for production data ingestion, orchestration, warehousing, BI, real-time monitoring, and AI-agent access with an accent on data correctness, governance, and self-service infrastructure. Focus on leading senior engineers, designing agentic data capabilities, enforcing access controls and auditability, and operating reliable high-scale platform services.
Location: Remote within the United States; listed locations include San Francisco, California and other U.S. states and territories
Base pay range: $195,000–$236,667 annually
Company
hirify.global is an internet financial platform company building digital asset, payment, stablecoin, and programmable blockchain infrastructure, including USDC, hirify.global Payments Network, and Arc.
What you will do
Own the vision, architecture, and roadmap for ingestion, orchestration, warehouse, BI, and real-time data services.
Manage, coach, hire, and grow senior data platform engineers and develop senior individual contributors into technical leaders.
Lead AI-agent management, guardrails, evaluation standards, and agentic access to governed data.
Curate and govern training, fine-tuning, and evaluation datasets with provenance, labeling, versioning, access controls, and reproducibility.
Build self-service platform capabilities, data quality controls, SLOs, data contracts, lineage, and automated validation.
Operate reliable production services through design reviews, code reviews, incident response, cost planning, vendor upgrades, and cross-functional collaboration.
Requirements
4+ years managing software engineers, including hiring, performance management, coaching, and senior individual-contributor development, plus 6+ years in data, ML, and/or platform engineering.
Hands-on experience building and operating warehouse, orchestration, streaming, or ingestion platforms at scale; experience with BigQuery, Airflow, Pub/Sub, Kafka, Iceberg, or equivalents.
Experience defining data SLOs, building validation that detects real problems, and improving architecture when data is incorrect, late, or untrusted.
Experience building or leading LLM-based or agentic data systems, including natural-language analytics, semantic layers, pipeline agents, or evaluation frameworks within data access controls.
Experience designing platforms adopted by other teams, reducing bespoke requests, and measuring adoption.
Track record of owning high-impact platform projects end to end with successful releases.
Recent hands-on technical work involving code and design review, difficult pipeline or warehouse debugging, prototyping, or production development.
Strong written and verbal communication with analysts, scientists, engineers, finance partners, and leaders.
Understanding of model training and evaluation, including training and fine-tuning corpora, labeled evaluation sets, data versioning, label-noise prevention, leakage prevention, and distribution-drift measurement.
Nice to have
Blockchain data experience at scale, including indexing networks, chain reorganizations, balance reconciliation, and near-real-time on-chain monitoring.
Experience in fintech, crypto, payments, or another regulated environment with auditability, restricted data handling, and operational controls.
Streaming and stateful processing experience for transaction-centric, low-latency monitoring.
Familiarity with data catalog and lineage tools, cloud-warehouse access governance, and shared-compute cost attribution.
Experience with Python, Go, or Java services and agent frameworks or protocols such as LangGraph or MCP.
Experience leading a geographically distributed team.
Culture & Benefits
Flexible work environment with an emphasis on transparency, integrity, future-focused thinking, and excellence.
Remote work is available within the listed United States locations.
Compensation varies based on experience, skills, qualifications, business needs, and location.
Equal-opportunity workplace with accommodations available during the interview process.
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