18 часов назад
Engineering Manager, Data Platform (Fintech)
290 000 - 330 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, Data Platform (Fintech): Leading the development of data infrastructure, feature store and ML platform systems, and batch and real-time underwriting pipelines with an accent on technical strategy, platform reliability, and hands-on architecture. Focus on managing and growing a team of 5–6 engineers, building model training and serving lifecycles, and scaling reliable underwriting systems across 60+ partners and product lines.
Location: San Francisco, California, USA; Remote
Salary: $290,000–$330,000 per year, plus equity grant
Company
builds financial tools that help small businesses access funding, spend management, and savings products through the platforms they already use.
What you will do
- Manage and grow a team of 5–6 engineers across data infrastructure, feature store and ML platform, and underwriting platform areas.
- Set technical direction for warehouse infrastructure, ingestion, Airflow and Databricks systems, feature materialization, model lifecycles, and underwriting pipelines.
- Review designs and code, resolve complex technical issues, and personally lead architecture for high-priority initiatives.
- Own system reliability and on-call operations, including incident response, SLAs, and recoverability.
- Partner with underwriting data science and product engineering teams building on the platform.
- Represent roadmap priorities and technical trade-offs to data science, merchant decisioning, product, and risk stakeholders.
Requirements
- 5+ years of software engineering experience, including 2+ years in technical leadership or engineering management.
- Experience in data infrastructure, ML platforms, backend systems, or similar technical domains.
- Strong knowledge of Spark/PySpark, Databricks, Airflow, AWS, and modern data or lakehouse stacks.
- Experience with feature stores, model training and serving pipelines, model registries, and batch and real-time inference.
- Track record of hiring, mentoring, and developing engineers while building a healthy, high-ownership team.
- Strong judgment, operational rigor, and written and verbal communication skills for working with technical and non-technical stakeholders.
Nice to have
- Experience with the Databricks technology ecosystem.
- Startup experience.
- Fintech experience.
Culture & Benefits
- Work-from-home flexibility.
- Equity grant.
- Medical, dental, and vision insurance.
- Unlimited paid time off and paid parental leave.
- 401(k), commuter benefits, free lunches, and an employee assistance program.
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