Staff Engineer, FinOps & Cost Platform

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

We are looking for a Staff Engineer, FinOps & Cost Platform to build and lead our engineering cost-management capability. This is a founding individual contributor role focused on improving visibility, understanding, and optimization across all engineering-controlled spend, including cloud infrastructure and engineering-owned technical vendors.

You will build the systems, tooling, and data models required to make engineering spend attributable, explainable, and actionable. In the near term, you will drive measurable savings. Over time, you will help build showback, chargeback, and unit-cost capabilities that allow us to understand the cost of services, platforms, and customer footprint more deeply.

What You’ll Do

• build the internal cost platform and reporting model for engineering spend
• own analysis and optimization of AWS and engineering-owned vendor spend
• improve cost attribution, tagging, and data quality
• define and implement showback, chargeback, and unit-cost models
• partner with engineering teams to drive optimization opportunities
• partner with finance and procurement on forecasting, renewals, and vendor rationalization
• design telemetry-backed cost models that connect infrastructure spend to real usage
• establish governance, review cadences, and cost-aware engineering practices

What We’re Looking For

• strong infrastructure or platform engineering background
• deep experience with AWS or comparable cloud environments
• proven experience with cost optimization, capacity economics, or FinOps-like work
• strong analytical and data-modeling ability
• hands-on experience building tooling, dashboards, or internal platforms
• ability to influence cross-functional stakeholders without direct authority
• strong communication across technical and business audiences

Nice to Have

• experience with CloudZero, Apptio, CloudHealth, or similar platforms
• showback or chargeback experience
• telemetry or unit-cost modeling experience
• engineering-vendor utilization and cost-governance experience
• prior experience building a new internal capability from scratch

Benefits

• Highly competitive salary
• Retirement/ 401K/ Pension Savings globally
• Competitive Paid time off packages including birthday's off!
• Access to a comprehensive mental health care program
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, books etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• An awesome parental leave program
• A friendly, welcoming, and supportive culture
• Our social and team events!

Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

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