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Описание вакансии
Текст:
TL;DR
Engineering Manager, Cost Intelligence (Cloud Cost Management/Data Platforms): Building data products, APIs, and platform services that help customers understand, monitor, and optimize Snowflake consumption and spend with an accent on cost allocation, budgeting, anomaly detection, and optimization recommendations. Focus on leading engineers, defining scalable backend and data pipeline architecture, and delivering multi-quarter technical roadmaps for reliable, low-latency systems.
Location: Hybrid in Bellevue, Washington, United States
Salary: $236,000–$339,200 per year
Company
Snowflake provides a cloud data platform and is building AI-enabled capabilities for the agentic enterprise.
What you will do
- Lead and grow a team of software engineers while fostering technical excellence, ownership, and continuous learning.
- Own the technical vision and execution for Cost Intelligence features covering cost allocation, resource budgeting, anomaly detection, and optimization recommendations.
- Define technical strategy for scalable backend systems, data pipelines, and APIs that provide cost and usage insights.
- Manage delivery end to end, from planning and design reviews through launch, iteration, and customer feedback.
- Partner with Product Management, Design, Data Science, and engineering teams to deliver integrations and customer outcomes.
- Represent the team in broader technical discussions and contribute to engineering-wide best practices.
Requirements
- 8+ years of software engineering experience, including 3+ years in an engineering management role.
- Strong foundation in distributed systems, data engineering, or cloud-native backend development.
- Experience defining and executing multi-quarter technical roadmaps while balancing delivery and platform health.
- Experience building cost management, budgeting, billing, or FinOps tools in AWS, Azure, or GCP environments.
- Experience with anomaly detection, time-series analysis, or ML-driven cost optimization products.
- Strong communication, hiring, talent development, and hands-on system design skills; BS, MS, PhD in Computer Science or equivalent experience.
Culture & Benefits
- AI-native, experimental approach to solving problems and accelerating impact.
- Low-ego environment focused on ownership, continuous learning, and technical excellence.
- Fast-growing engineering organization focused on innovation and scalable customer-facing products.
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