Senior Manager, Financial Cloud & AI Operations (FIN OPs)

Mode Analytics; Tempe (AZ); Hybrid; USD 123,000 - 176,000; Full time

Benefits offered by this job

In-office 3+ days/week

Executive exposure to leadership

Job summary

ThoughtSpot is seeking a Senior Manager of Financial Cloud & AI Operations to own the financial planning, modeling, and contracting for cloud, GPU, and AI resources. You will partner with engineering, DevOps, business analytics, and finance leadership to optimize spend, drive margin, and provide executive-level insights to the CFO and CTO. This role blends financial modeling with cloud economics and cross-functional leadership.

Qualifications

• 7+ years in financial modeling, driver-based forecasting, and budgeting at a tech company.
• 3+ years of Cloud and AI economics with cloud pricing knowledge.
• Analytical judgment to distill key variables from large datasets.
• Leadership and cross-functional collaboration across global teams.

Responsibilities

• Forecast and scenario modeling for cloud, GPU, and token spend tied to COGS.
• Develop unified demand forecast across production inference, internal research, and new product development.
• Model commitments and optimize terms for reservations and savings plans.
• Build unit economics models for AI products and pricing.
• Run FinOps governance and cost allocation reviews with leadership.
• Define operational efficiency metrics and track cost-reduction commitments.
• Deliver executive-ready financial reporting and risk assessments.

Skills

Financial modeling

Forecasting

Scenario analysis

Budgeting

Excel

SQL

BI tools

Leadership

Communication

AI tools experience

Education

Bachelor’s degree in Finance, Economics, or a technical field

Tools

BI tools

FinOps tooling

Cloud cost analysis tools

SQL

Job description

ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.

The Role

ThoughtSpot is hiring a Senior Manager of Financial Cloud & AI Operations to own the financial side of planning, modeling, and contracting for our cloud, token, and AI resources. This role is central to managing cash flow and building a profitable portfolio of AI-native cloud products. You’ll partner with Engineering, DevOps, Business Analytics, and Financial Planning, and work directly with C-level executives. Reports in to Finance team.

Usage patterns, product adoption, model mix, and vendor economics in this space change fast. You’ll turn complex data into clear recommendations, and know when a decision needs deep analysis and when the business needs a timely directional answer.

What You'll Do

• AI and cloud financial planning: Partner on forecast and scenario modeling for cloud, GPU, and token spend. Tie usage, adoption, model mix, and vendor pricing to COGS and gross margin. Monitor spend against budget, establish variance thresholds, and intervene proactively on unplanned consumption spikes.
• GPU and capacity forecasting: Partner with Engineering leadership to establish a unified demand forecast across production inference, internal research, and new product development, translating compute demand into prioritized spend and capacity plans.
• Vendor commitments and rate optimization: Model and manage commitments. Evaluate break-even horizons, stranded-commitment risks, and optimal terms for RIs, Savings Plans, CUDs, Provisioned Throughput Units (PTUs), dedicated instance hosting, and token drawdowns. Support contract negotiations with Procurement and Finance leadership.
• AI product economics: Build unit economics models for AI products and act as the finance partner to Product and Pricing, ensuring consumption-based pricing preserves gross margin targets.
• FinOps governance and reviews: Run the allocation standards, controls, and review cadence that keep cost in check while enabling adoption. Lead recurring reviews with the highest-consuming teams.
• Efficiency KPIs and savings accountability: Define operational efficiency metrics with Engineering (e.g., cluster/GPU utilization rates, cost per query, cost per million tokens). Track engineering cost-reduction commitments from initial sizing to realize billing impact, and elevate misses to leadership.
• Reporting, tooling, and C-suite visibility: Partner with Data Engineering and BI to operationalize trusted multi-cloud datasets, automated allocation pipelines, and AI-driven anomaly detection. Deliver executive-ready financial reporting, risk assessments, and strategic recommendations directly to the CFO, CTO, and executive leadership.

What You Bring

• 7+ years in financial modeling, driver-based forecasting, scenario analysis, and budgeting at an AI, SaaS, or other technology company.
• 3+ years of Cloud and AI economics: Working knowledge of cloud pricing and billing models (reserved vs. on-demand, commitments, CUR exports).
• Analytical judgment: You can pull the few variables that matter out of large, messy datasets and turn them into clear recommendations.
• Systems: Expert-level Excel, SQL knowledge, plus hands-on experience with BI tools, FinOps tooling, and cloud cost analysis tools.
• AI-driven finance: You’ve used or evaluated AI tools to improve forecasting or reporting.
• Leadership: Experience working on a globally distributed team.
• Communication: You simplify complex financial and technical topics and produce polished, executive-ready deliverables.
• Education: Bachelor’s degree in Finance, Economics, or a technical field.

In-Office at ThoughtSpot

Spotters are expected in-office 3+ days per week to be part of the energy of their local team. Momentum compounds when we're in the room together with faster decisions, sharper problem-solving, and the kind of peer learning that doesn't happen over a screen. Being in-office is our default way of working, with flexibility available where it's genuinely needed.

About ThoughtSpot

The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.

At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.

Mandatory And Required Skills For All ThoughtSpot Roles

Spotters are expected to demonstrate AI literacy and workflow integration to include to ability to:

• Comfortably and confidently integrate AI into their daily workflows to increase productivity and quality.
• Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
• Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
• Write effective prompts to get the most accurate and creative results from AI tools.

Spotters are expected to exemplify these key traits and possess an AI Mindset:

• Curiosity in exploring new AI tools
• Adaptability to quickly learn and implement new, emerging AI technologies
• Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.

AI Mindset for All Spotters

At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work.

All Spotters are expected to experiment with ThoughtSpot’s AI tools (like AgentSpot, Spotter, and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner.

We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.

ThoughtSpot for All

At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.

What Makes ThoughtSpot a Great Place to Work?

ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.

The Pay Range For This Role Is

123,200 - 176,000 USD per year (US - Phoenix)

154,000 - 220,000 USD per year (US - Mountain View )