Lead FinOps Technical Analyst

SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt.

As SEON accelerates its global expansion and integrates high-integrity AI features into our core platform, we are seeking a Lead FinOps Technical Analyst to act as the strategic navigator for our cloud investments.

You will act as a core member of the Engineering Platform team. While this is not a hands-on infrastructure engineering role, it requires deep fluency in the software development lifecycle (SDLC). You will treat Cost as a Non-Functional Requirement (like security or latency), ensuring that our architecture is as efficient as it is resilient.

In this role, you will move beyond static reporting to democratize financial intelligence. You will own our FinOps platform (CloudZero), transforming raw billing data into actionable engineering roadmaps. Your analysis will directly guide our Engineering and Product teams to uncover an identified operational savings and navigate the complex unit economics.

This role offers flexibility and can be based in Austin with a hybrid schedule.

WHAT YOU’LL DO:

1. Cost Observability & Platform Ownership

• Manage Cost Observability: Serve as the owner/architect for CloudZero. You will ensure that every microservice, Kubernetes namespace, and shared resource is accurately mapped to its owner in the Service Catalog.

• Democratize Data: Build self-service views and dynamic dashboards that empower Engineering Leads and Executives to see their costs in near real-time. Your goal is to make cost data as accessible to developers as their operational logs.

• Architectural Variance Analysis: Investigate cost anomalies not just by dollar amount, but by system behavior. You will explain why spend deviated (e.g., "Distributed Database costs rose due to inefficient Inter-AZ data transfer patterns") rather than just reporting the financial variance to the budget.

2. Strategic Roadmapping

• Curate the Technical Debt Backlog: Analyze utilization data to identify specific targeted opportunities (e.g., storage reclamation, proxy usage optimization, instance optimizations).

• Operationalize Savings: Translate financial opportunities into actionable Jira tickets with clear acceptance criteria. Partner with Engineering Leads during planning to prioritize these tasks alongside feature work.

• Architectural Advisory: Participate in Architecture Review Boards to model the financial impact of design choices—such as Multi-AZ redundancy vs. data transfer costs—before code is written and decisions are committed.

3. AI Financial Operations

• Unit Economics Modeling: Develop models to track Cost per Token and Cost per Transaction for our high-integrity AI features.

• Margin Protection: Analyze the financial impact of "Agentic AI" loops and provide early warnings to Product Managers if usage patterns threaten gross margin targets.

4. Commercial Strategy & Guardrails

• Commitment Management: Lead the technical modeling for Reserved Instances, Savings Plans, and Enterprise Discount Programs (EDP). You will provide the data that gives Engineering the confidence to sign multi-million dollar commitments.

• SaaS & Vendor Efficiency: Monitor spend on 3rd party SaaS (e.g., Snowflake, Elastic, Clickhouse), identifying usage inefficiencies to support contract renewals.

• Establish Guardrails: Define and monitor budget thresholds and anomaly detection alerts that prevent "runaway" spend without stifling innovation.

WHAT YOU’ll BRING:

• Experience: 5+ years in Cloud Financial Management or a Technical Analyst role, with at least 2 years embedded within an Engineering, DevOps, or SRE team. Pure FP&A/Accounting experience without direct engineering interaction will not be sufficient.

• Cloud Fluency: Deep understanding of AWS cost drivers (EC2 families, Data Transfer, RDS, S3 tiers). You don't need to spin them up, but you must know exactly how they are billed and how they connect in a system diagram.

• Tooling: Expert proficiency with CloudZero (or similar FinOps platforms) and surrounding visualization suites. Familiarity with Jira and Confluence is essential—you will live in these tools alongside the engineers.

• Influence & Storytelling: Proven ability to investigate the technical root cause of a cost spike and present a compelling business case to Engineering Leadership to get the fix prioritized.

(AMAZING IF YOU ALSO HAVE):

• K8s Concepts: Ability to read a basic Kubernetes dashboard (understanding Pods, Nodes, Namespaces) to facilitate better container cost allocation discussions.

• Scripting: Familiarity with Python or Go to automate data retrieval or custom report generation is a strong plus.

• Certifications: FinOps Certified Practitioner (FOCP) or AWS Certified Cloud Practitioner

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SEON is an equal opportunity employer. We strive to embrace what makes each one of us unique; we each have our own story. Whether looking at our current staff or future team members, we believe that everyone has something to contribute, and our employment practices reflect that. We do not make an employment decision based upon race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Please let your recruiter know if you need reasonable adjustments to our recruitment process.