Plaid08.05.2026
FinOps Program Manager
Полная занятостьУдалёнка
Обязанности
- 01Monitors and analyzes engineering spend across cloud, AI/ML, data platforms, and SaaS, identifying trends, anomalies, and optimization opportunities.
- 02Builds and maintains forecasts for engineering spend, partnering with Finance and engineering leaders to understand drivers, assumptions, and risks.
- 03Partners with engineering, product, and TPMs to incorporate cost considerations into roadmaps, architectural decisions, and execution plans.
- 04Leads cost optimization initiatives, such as rightsizing, commitment strategies, and workload efficiency improvements, in collaboration with engineering owners.
- 05Creates and maintains dashboards and reporting that make spend understandable and actionable for both engineers and executives.
- 06Implements FinOps practices and processes, including showback/chargeback models, unit economics, and cost ownership frameworks.
- 07Partners on tooling and automation, working with data and engineering teams to improve cost visibility, forecasting accuracy, and operational efficiency.
- 08Drives alignment and behavior change, helping teams balance cost, performance, reliability, and velocity through data-driven decision making.
Требования
- 016–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.
- 02Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.
- 03Working understanding of modern cloud-native architectures, including core components such as compute, storage, networking, data pipelines, and managed services—enough to engage credibly with engineers on design, tradeoffs, and cost drivers.
- 04Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.
- 05Comfort working directly with data, including writing SQL (or effectively using AI-assisted tools to do so) to explore datasets, validate assumptions, and answer ad hoc questions.
- 06Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.
- 07Demonstrated success driving adoption and behavior change—embedding cost awareness into day-to-day engineering workflows, not just producing reports.
- 08Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.
- 09Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).
- 10Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.