CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies.

We’re on a mission to make businesses more human, and humans more impactful. We operate by our values — be intentional, pursue excellence every day, embrace the journey together, and be a good human — every day. CreatorIQ has earned the title of best companies to work for in multiple programs, including BuiltIn LA and NY. It’s been named a Fastest-Growing Company in North America on the Deloitte Technology Fast 500™ for four years, was named a leader in IDC MarketScape: Worldwide Influencer Marketing Platforms for Large Enterprises in 2025, was named a Leader by The Forrester New Wave™: Influencer Marketing Solutions, and has been consistently recognized by G2 as a Leader, and is rated 5 stars on Influencer MarketingHub. We operate in a flexible work model that combines both in-person and remote work to boost collaboration, enhance innovation, and adapt to individual work styles.

We're seeking passionate, innovative minds to join our journey. Be a part of our dynamic team and let's transform the industry together!

Senior FP&A Manager, Technology

CreatorIQ is looking for a Senior FP&A Manager, reporting to the VP of FP&A, to serve as the embedded finance partner to our Product and Engineering organizations. This is a hands-on, high-visibility role for someone who has done technology finance partnership before. You’ll own the financial lens on how CreatorIQ builds our product, on resourcing decisions across the roadmap, on cloud and infrastructure spend, and on the ROI case for major engineering investments. You’ll work directly with Product and Engineering leaders as a trusted advisor, not just a reporting function, translating technical initiatives and financial constraints into context that leadership can act on and that Product and Engineering can plan around.

What You’ll Do

Act as the primary finance business partner to Product and Engineering leadership, building the relationships and credibility to influence decisions, not just report on them after the fact.

Own budgeting, forecasting, and variance analysis for the Product and Engineering org, including headcount planning, cloud/infrastructure costs, and third-party software and tooling spend, across the strategic, annual, and quarterly planning cycles.

Partner with Engineering leaders to understand and optimize cloud hosting and infrastructure costs (e.g., AWS/GCP/Azure), identifying efficiency opportunities and tracking unit economics as the business scales into new product lines.

Build and own the forecasting model for variable, consumption-based costs across new product lines (cloud compute/storage, API and data usage, AI/LLM inference and token costs), tying usage drivers to revenue.

Develop consumption-based pricing recommendations for products or features with usage-driven cost structures, including the underlying financial plan (margin targets, breakeven usage levels, and sensitivity to customer usage patterns) to support Product and executive decision-making.

Own cost analysis specific to AI-related spend (model inference, token consumption, third-party AI vendor/API costs), tracking cost per query/output, evaluating margin impact of AI-powered features, and partnering with Engineering to find optimization opportunities as AI usage scales.

Analyze team productivity and efficiency across Product and Engineering, tracking metrics such as cost per engineer, output per engineer, and R&D spend as a percentage of revenue, to help leadership assess whether team structure and investment levels are producing the expected output.

Build and maintain ROI and business-case frameworks for major product and engineering investments (e.g., new features, platform re-architecture, build-vs-buy decisions, AI investments, M&A/tech integration) so leadership can prioritize with financial rigor.

Partner with Product and Engineering on roadmap prioritization, bringing a cost/benefit and capacity-allocation lens to planning cycles.