Director of Financial Operations

Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.

We are hiring a Director of Financial Operations to own the financial modeling, analytics, and margin optimization of our GPU infrastructure business. This role bridges the critical gap between our fleet operations systems (including Fleet and Metronome) and the finance team’s need for complete visibility into cost structures, vendor economics, and margin performance.

You will be Parasail’s central source of truth for GPU financial performance—building the models, reports, and reconciliation processes that enable the company to understand exactly where every dollar of GPU spend goes and how every contract, vendor, and capacity decision impacts margin. You will partner with purchasing on supplier contract negotiations and work closely with Engineering, Product, and leadership to align pricing, vendor economics, and financial strategy.

This is a finance and analytics role at its core. The ideal candidate is an exceptionally detail-oriented financial operator—someone with a controller’s rigor, expert-level Excel proficiency, and the analytical obsessiveness to track down a spreadsheet discrepancy. You should be as comfortable building complex financial models as you are writing SQL queries to pull data from operational systems.

• Build and maintain comprehensive financial models for GPU unit economics: cost per GPU-hour, marginal cost, blended vendor rates, cost leakage, and margin by contract type.
• Model the financial impact of capacity decisions including contract mix changes, vendor shifts, utilization improvements, and pricing adjustments.
• Develop scenario analyses for vendor negotiations, new contract structures, and capacity expansion plans.
• Identify and quantify margin expansion levers: vendor renegotiation, contract rebalancing, utilization gains, and pricing optimization.
• Own gross margin analysis and provide actionable recommendations to leadership on improving unit economics.

• Bridge the gap between fleet operations systems (Fleet, Metronome) and finance team visibility—ensuring accurate, timely, and complete financial reporting on GPU spend and revenue.
• Build and maintain reconciliation processes between vendor invoices, internal usage tracking, and customer billing data.
• Develop automated reporting pipelines to track cost per GPU hour, vendor performance, contract utilization, and margin trends.
• Produce monthly and quarterly reporting on supply-side cost trends, margin performance, and financial KPIs.
• Create dashboards and business intelligence tools that give leadership real-time visibility into GPU financial performance.

• Partner with purchasing to support supplier contract negotiations with detailed financial analysis and benchmarking.
• Analyze vendor pricing competitiveness, contract terms, and total cost of ownership across the multi-vendor fleet.
• Model the financial impact of SLA terms, commitment levels, contractual flexibility, and scaling provisions.
• Build vendor cost scorecards and comparative analyses to inform sourcing decisions.
• Track and report on contract utilization rates, commitment burn-down, and cost exposure by vendor.

• Serve as the organization’s analytics expert for all GPU financial and operational data.
• Write SQL queries to extract, transform, and analyze data from fleet management systems, billing platforms, and vendor systems.
• Build and maintain Excel-based models and dashboards for rapid analysis and executive reporting.
• Develop KPIs and metrics frameworks for measuring fleet financial health, vendor performance, and cost efficiency.
• Identify data quality issues, gaps in financial visibility, and opportunities to improve reporting infrastructure.

• Partner with Engineering to ensure fleet operations data flows accurately into financial systems and reports.
• Work with Product to align customer pricing with underlying vendor economics and margin targets.
• Support Sales & GTM with deal-level margin analysis and pricing guidance for large customer engagements.
• Advise leadership on financial risks, cost trends, and strategic opportunities in GPU supply economics.
• Collaborate with purchasing and vendor management teams to ensure financial considerations drive sourcing decisions.

• 7+ years in financial operations, FP&A, financial analytics, controllership, or FinOps roles—ideally in infrastructure, cloud, or technology companies.
• Exceptional analytical skills: this is the most critical capability. You must be a natural modeler, comfortable building complex financial frameworks from scratch.
• Expert-level Excel/Google Sheets proficiency—the kind of user who navigates entirely by keyboard shortcuts and builds sophisticated models with ease.
• SQL proficiency for querying operational databases, billing systems, and building analytical datasets.
• Extreme attention to detail and a numbers-obsessed mentality—you are the person who catches the $0.01 discrepancy others miss.
• Experience with financial reconciliation across multiple data sources, vendor invoices, and billing platforms.
• Demonstrated ability to translate complex operational data into clear financial insights and actionable recommendations.
• Experience supporting or leading vendor/supplier contract negotiations with financial analysis and benchmarking.
• Strong cross-functional communication; able to work effectively with engineering, product, and executive teams.
• Comfortable in fast-moving, high-stakes, high-ambiguity startup environments.

• Experience in cloud infrastructure, GPU computing, or AI/ML infrastructure finance.
• Familiarity with FinOps frameworks, cloud cost management, or infrastructure unit economics.
• Experience with business intelligence tools (Looker, Tableau, Grafana) for building financial dashboards.
• Background in accounting, controllership, or finance at a high-growth technology company.
• Experience with billing and metering platforms (e.g., Metronome, Stripe Billing, or similar usage-based billing systems).

• Own the financial analytics function that directly drives Parasail’s margin performance and scaling decisions.
• Build the financial visibility layer for one of the fastest-moving companies in the AI infrastructure ecosystem.
• Work closely with a world-class engineering team building real-time AI systems.
• High impact, high visibility role with direct access to leadership and significant autonomy.
• Competitive compensation, meaningful equity, and a chance to build a function from the ground up.