VAST Data
What's It Like to Work at VAST Data in New York?
This page summarizes recurring themes identified from responses generated by popular LLMs to common candidate questions about VAST Data and has not been reviewed or approved by VAST Data.
What's it like to work at VAST Data?
Strengths in product impact and market momentum are accompanied by a fast cadence and the coordination demands of a scaling, distributed organization. Together, these dynamics suggest the New York office offers high‑upside work in AI infrastructure while requiring comfort with pace, shifting priorities, and cross‑team complexity.
Key Insight for Candidates
NYC is a primary hub in a remote‑first, U.S–Israel org: greater access to decision‑makers and in‑person collaboration, with cross‑time‑zone meetings that can stretch beyond typical hours. For New York candidates, this yields faster impact and visibility, provided you’re comfortable with async workflows.Positive Themes About VAST Data
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Innovation & Products: The New York hub sits within a company whose platform is used for demanding AI, genomics, media, and analytics workloads, creating interesting, high‑impact problems and pride in product performance and support.
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Market Position & Stability: Momentum around an 'AI Operating System'—reinforced by substantial recent funding and marquee partnerships—gives the New York office a sense of resource‑backed growth and runway.
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Career Growth: Scaling headcount and scope in a remote‑first organization with a New York hub expands opportunities to take on broader responsibilities and advance as the company grows.
Considerations About VAST Data
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Workload & Burnout: The hypergrowth cadence is described as demanding, with blurred work/life boundaries in some groups; New York teams share in this fast tempo given the office’s hub status.
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Change Fatigue: Rapid shifts associated with expanding from storage to a broader 'AI OS' stack can lead to evolving priorities and frequent re‑alignment across teams in New York.
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Poor Collaboration: Scaling has introduced uneven processes and cross‑team coordination growing pains, which can be amplified by distributed time zones across hubs including New York.
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