ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΎΠ΄ΠΊΠ»ΡΡΠΈΡΡ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
Hirify AI/ΠΡΠΈΠ³ΠΈΠ½Π°Π»
TL;DR
Senior Manager, Engineering, Data Engineering (Data Platforms): Leading the development and operation of data architecture, pipelines, data products, governance, and platform capabilities supporting products, reporting, analytics, and AI use cases with an accent on scalability, reliability, data quality, and technical direction. Focus on building high-performing engineering teams, modernizing enterprise data platforms, and establishing trusted, reusable data capabilities across business domains.
Location: Remote from the United States
Company
hirify.global is a technology platform that helps lifestyle creators monetize content by connecting creators, brands, and shoppers through commerce tools and a shopping app.
What you will do
Lead, coach, and develop a team of data and software engineers, including hiring, succession planning, and performance management.
Define technical direction across data architecture, modeling, ingestion, transformation, storage, APIs, and governance.
Build scalable, reusable data models and shared capabilities for multiple business domains.
Lead platform modernization, analytics enablement, data quality improvements, and migration of critical metrics to trusted sources.
Partner with Product, Analytics, Finance, Security, Legal/Privacy, TPMO, and Engineering on roadmaps, priorities, and technical tradeoffs.
Establish standards for reliability, observability, security, performance, cost efficiency, incident management, and continuous improvement.
Requirements
Bachelorβs degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
8+ years of experience in data engineering, platform engineering, or backend engineering.
3+ years of people leadership experience developing engineers, managing performance, and building high-performing teams.
Experience owning technical roadmaps and leading complex engineering initiatives.
Strong technical judgment across data architecture, distributed systems, data modeling, data pipelines, cloud platforms, and production operations.
U.S. work authorization is required; new employment visa sponsorship is not available.
Nice to have
Experience building or modernizing enterprise data platforms with data quality, lineage, ownership, privacy, and access controls.
Experience with Python, Scala, SQL, Spark, Kafka, Airflow, AWS services, Snowflake, or comparable platforms.
Culture & Benefits
Remote-first, productivity-first work environment.
Competitive compensation and benefits package.
401(k) with company matching.
Medical, vision, and dental insurance.
Paid maternity and paternity leave, Summer Fridays, and flexible PTO.
Values centered on winning, commitment, and working well together.