• 6–10+ years of relevant experience working at the intersection of engineering, infrastructure, data, or finance in a cloud-native or SaaS environment.
• Proven experience partnering closely with engineering teams to influence decisions involving cloud infrastructure, data platforms, AI/ML workloads, or SaaS spend.
• Experience managing AI and machine learning spend, including tracking usage costs (e.g., compute, model inference, API consumption), forecasting budgets, and identifying cost-optimization opportunities.
• Working 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.
• Strong foundation in cost analysis, forecasting, budgeting, and variance management, with the ability to translate data into clear, actionable insights.
• Comfort 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.
• Experience building clear, high-quality dashboards and BI artifacts that are not only accurate, but intuitive and delightful for engineers and leaders to use.
• Demonstrated success driving adoption and behavior change—embedding cost awareness into day-to-day engineering workflows, not just producing reports.
• Experience owning and delivering cross-functional programs end-to-end, often without direct authority or a dedicated team.
• Familiarity with FinOps principles and practices (e.g., shared ownership, showback/chargeback, unit economics, optimization strategies).
• Strong communication skills, with the ability to tailor complex technical and financial concepts for engineering, finance, and executive audiences.

Nice to Haves

• Hands-on familiarity with cloud cost management tools (e.g., AWS Cost Explorer, GCP Billing, Azure Cost Management, CloudHealth, Cloudability, or similar).
• Experience working with or supporting data platforms and AI/ML workloads, including understanding cost drivers for batch processing, streaming, storage, and model training/inference.
• Exposure to showback/chargeback models, cost allocation strategies, or product-level unit economics.
• Experience improving data models or pipelines that support analytics, reporting, or financial attribution.
• Familiarity with BI tools such as Mode, Tableau, Looker, or similar—and a strong eye for dashboard usability and design.
• Background in a technical role (e.g., engineering, TPM, infra, data, or engineering operations) before moving into a more cross-functional or business-oriented position.
• Experience operating in a high-growth or rapidly scaling environment, where cost structures and investment priorities are evolving quickly.

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

Please review our Candidate Privacy Notice here.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.