Finance Manager, VAST Data
Cost & Operations Analytics
AI operating system
Open for applications
AI operating system
1001+ employees
Open for applications
1001+ employees
Company mission
To empower intelligent agents to store, think, communicate, and act.
Role
Who you are
- This role requires a professional who thrives in an outcome-focused environment, is highly analytical and can operate independently while integrating seamlessly across cross-functional teams
- Comfortable operating in high-growth, fast-paced environments with shifting priorities
- Bachelor’s degree in Finance, Accounting, Computer Science, Mathematics, or a related field
- 5+ years of experience in COGS and inventory FP&A, ideally within a hardware supply chain environment
- Strong analytical and quantitative skills with the ability to distill complex data into actionable insights
- Proven ability to manage complex workstreams with minimal oversight, focusing on results rather than task lists
- Ability to build documentation that provides transparency and speeds up decision-making for stakeholders
- Advanced experience with transitioning from manual reporting into automated dashboards
- Excellent Excel/Google sheets skills including pivot tables, nested formulas, Index/Match, dynamic ranges etc. Macros/VBA, scenario analysis & sensitivity modeling. Driver based forecast models (lead - pipeline - sales - revenue - cash). Ability to pull from databases (NetSuite)
- Familiarity with BI tools (e.g. Tableau)
What the job involves
- VAST Data is seeking a Finance Manager to join our Operations Finance team as a core contributor in our mission to move from a reactive state to a stable, automated, and scalable infrastructure
- You will own the foundational FP&A for hardware service operations, with a primary strategic mandate to lead the transition from manual data processes to automated financial integration
- Budgeting & Tracking: Own the end-to-end FP&A for Operations, including OPEX and COGS management
- Headcount Management: Manage hiring and headcount tracking for the Operations organization
- CM Program Costs: Lead the budgeting and tracking of costs incurred at Contract Manufacturers (CMs)
- Validation: Own the actual Purchase Price Variance (PPV) analysis for vendor partners
- Close Partnership: Partner closely with accounting to ensure timely and accurate reporting of actual results
- Depot Economics: Own the Depot Economics Model and lead financial analysis for all New Depot requests
- Inventory Analysis: Manage Service Inventory financial modeling and provide insights into inventory-related costs
- Evaluate third-party service providers: Compare outsourcing versus in-house execution based on cost, efficiency, and operational impact
- Unit economics of hardware support costs
- ETL Transformation: Act as the steward for manual Extract, Transform, and Load (ETL) processes across Ops Finance, driving their integration into automated data environments
- Scalability: Partner with the Team Lead to build stable infrastructure that eliminates manual reporting and improves the accuracy of Service Ops COGS models
- Service Level Agreements: Ensure the team maintains a 24-hour SLA for hardware pricing, discounts, and CM special terms
- Special Pricing Requests: Support special pricing analysis and decision making
Our take
VAST Data is building what you might call the plumbing for the AI era - a purpose-built data platform that unifies storage, compute, and data services in a single, scalable system. With its disaggregated, shared-everything (DASE) architecture, it allows companies to scale their storage independently from compute, meaning AI workloads can grow without behind held back by infrastructure bottlenecks. And their platform delivers flash-speed performance, multi-protocol access, and enterprsie-grade reliability, all while keeping costs reasonable.
This architecture is especially relevant now and the company has recently partnered with GMI CLoud as a key data infrastructure provider for GMI's ambitious new "AI factory" in Taiwan. The data centre is expected to house 7,000 NVIDIA Blackwell GPUS and will lean on VAST's exabyte-scale storage to handle data for model training, inference, and real-time processing.
On top of this, VAST has secured some major partnerships and deals that really position it strongly for the future of AI infrastructure. In November 2025, it struck a $1.17B agreement with CoreWeave, making VASt the primary data foundation for their GPU cloud. It also expanded its collaboration with Google CLoud to offer its AI Operating System as a fully managed service, allowsing global data access across on-prem and cloud environments using VAST DataSpace. These moves suggest VAST isn't just keeping up with AI demand but shaping the infrastructure that will power the next generation of large-scale, distributed intelligent systems.
Freddie
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Dec 2023
$118m
SERIES E
May 2021
$83m
SERIES D
Total funding: $381m
Leadership
Renen Hallak
(Co-Founder & CEO)BA and an MSc in Computer Science. Prior to co-founding VAST, they led the architecture and development of an all flash array at XtremIO as VP of R&D.
Shachar Fienblit
(Co-FOunder & Chief R&D Officer)BSC in Computer Software Engineering. Prior to co-founding VAST, they were the VP of Engineering at Kaminario before being promoted to CTO.
Jeff Denworth
(Co-Founder)Prior to co-founding VAST, they were the SVP of Marketing at CTERA Networks and DDN Storage.
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