Staff Engineer, FinOps

Amplitude is the leading AI analytics platform helping over 4700 customersincluding Atlassian Burger King NBCUniversal and Squarebuild better products and digital experiences. With powerful AI Agents embedded across our platform teams can analyze test and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2s Winter 2026 Report Amplitude is the best-in-class solution for product data and marketing teams. Learn more at .

As an organization we deliver for our customers by living our values. We operate from a place of humility take ownership of problems and successes approach challenges with a growth mindset and put our customers at the center of everything we do.

Amplitudes Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products improves the ability to solve complex problems and drives more powerful solutions. We strive to create an environment of inclusionone focused on psychological safety empathy and human connectionthat will allow employees of all backgrounds to thrive.

About The Role & Team

Amplitude is the leading AI analytics platform and our ability to invest wisely in infrastructure and SaaS is a key part of how we keep that lead. The FinOps Engineering function sits at the intersection of engineering finance and product owning the data tooling and practices that make our cloud and vendor spend both efficient and transparent.

As a Staff FinOps Engineer you will own the technical backbone that powers Amplitudes cost visibility across major vendors (cloud hosting observability AI/ML and core SaaS) and partner directly with Engineering Finance and Product to turn that visibility into real savings and better decisions. This role is both hands-on engineer and program driver: youll design and build systems roll up your sleeves to implement optimizations and lead cross-functional initiatives reviews and long-range planning.

Youll be a small high-impact team of one with a large surface area partnering closely with leaders across Engineering Platform Finance and Product from building cost data pipelines and reporting to defining cost guardrails for new architectures to helping forecast the impact of product and infrastructure bets and handling all Engineering vendor negotiations licensing and contracts. The right person thrives in ambiguity learns new domains quickly and cares as much about business outcomes as technical elegance.

As a Staff FinOps Engineer you will:

• Own our cost & vendor data platform design build and maintain the pipelines models and storage that consolidate cost and usage data across AWS GCP Kubernetes observability tooling AI providers and other strategic vendors into a single trusted source of truth
• Turn data into decisions and savings partner with Engineering Infrastructure Product and Finance to translate raw cost and usage signals into clear insights recommendations and playbooks that influence roadmaps and architecture
• Personally implement cost optimizations dive into services workloads and vendor configurations to execute optimizations yourself when needed (e.g. rightsizing storage tiering query optimization metrics/logs reduction plan changes) not just make recommendations
• Build self-service FinOps tooling develop dashboards scorecards alerts bots and internal tools that make it easy for service owners to understand their spend identify waste and track progress against optimization goals
• Establish guardrails and best practices define and codify standards for cost-efficient architecture (e.g. instance families storage patterns data retention observability practices AI usage patterns) and embed them into infrastructure-as-code CI/CD and review processes
• Partner closely with Finance on forecasting collaborate with FP&A and vendor owners to forecast short- and long-term spend model the impact of new features and infrastructure changes and reconcile actuals against forecasts
• Lead cross-functional cost programs drive multi-quarter initiatives (e.g. Datadog/observability optimization storage lifecycle redesign AI vendor consolidation) from problem definition through design execution and ongoing measurement
• Raise the FinOps bar across Amplitude run reviews office hours and targeted trainings to help teams interpret cost data reason about trade-offs and incorporate cost as a first-class engineering and product constraint
• Instrument and measure everything define KPIs and build telemetry around cost programs (e.g. $ saved unit economics ROI impact on performance/reliability) to ensure were shipping changes that actually move the business
• Act as a subject-matter expert stay current on cloud pricing changes vendor offerings and FinOps best practices and bring pragmatic opinionated guidance back into our architecture contracts and tooling

Youll be a great addition to the team if you:

• Have 7 years of hands-on experience in FinOps SRE Platform or Infrastructure engineering with a track record of reducing spend and improving unit economics in a modern cloud environment (AWS preferred)
• Are as comfortable in code as in spreadsheets you can write production-quality code (Python TypeScript or similar) build data pipelines and dashboards and youre fluent enough with financial concepts (budgets forecasts ROI unit economics) to partner credibly with Finance
• Know how to build cost data systems youve worked with cost & usage data (e.g. AWS CUR SaaS vendor exports observability billing data) and can model it into schemas and metrics that make sense to engineers leadership and Finance
• Have shipped real optimizations yourself you can point to concrete examples where you personally changed infrastructure configurations or code to reduce spend (not just recommended changes for others to implement)
• Operate with high ownership and autonomy you like owning ambiguous cross-functional problems end-to-end from framing and alignment through technical design implementation rollout and ongoing iteration
• Balance program management with engineering depth youre comfortable driving a roadmap aligning stakeholders and tracking outcomes while also diving into details like Terraform modules Kubernetes manifests or Datadog/SaaS billing settings
• Communicate clearly with diverse audiences you can explain complex technical and financial trade-offs to engineers PMs Finance partners and executives in a way that is concise data-driven and actionable
• Have strong data and analytics instincts youre comfortable working with SQL and analytics tools and you default to instrumenting your work and validating that changes improved cost performance or reliability
• Care about reliability and developer experience you optimize cost without sacrificing performance availability or developer velocity and youre thoughtful about where to introduce friction vs. where to automate
• Are curious and fast-learning you enjoy picking up new domains (e.g. AI infra new observability vendors pricing models) and applying that knowledge quickly to make better decisions

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