About Meshy
Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.
Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.
Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.
Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.
About the Role
We are hiring a Senior Data & Analytics Engineer to own pipelines, schemas, and statistical tooling that transform raw product events into trusted insights. You’ll move comfortably between deep data‑engineering (CDC pipelines, event queues, object‑store reconciliation) and analytics craft (basic statistics concepts, experiment design, BI dashboards, and insights/analysis). Your work will have a high impact and drive key decisions across data infrastructure, product, marketing, growth and finance.
What You’ll Do:
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Data Ingestion – Design, build, and maintain scalable ELT & CDC pipelines.
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Schema Building – Develop and optimize ELT processes to ensure data quality and reliability using Delta Live Tables in Databricks; enforce data documentation, lineage, tests, monitoring, alerts, access control and data governance.
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Metrics & Dashboards – Define key metrics and build visualizations in Tableau.
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Deep‑Dive Analysis – Analyze business data to uncover insights that drive key business decisions.
What We're looking for:
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5+ years designing and maintaining data‑ingestion pipelines.
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5+ years designing analytics schemas and building ELT on modern data stacks (dbt, etc.).
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5+ years building data visualizations and analyses using Tableau, Looker, or similar tools.
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Expert in data‑querying languages (e.g., SQL) and scripting languages (e.g., Python, PySpark, Java, Scala).
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Strong statistical fluency and expertise in statistical inference for A/B tests, growth, and model analytics.
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Demonstrated agility—quick to adapt, versatile across toolsets, and eager to learn.
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Proven ability to communicate ideas and analyses effectively to both technical and non‑technical audiences.
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BS or MS in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
Nice to have:
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Experience in the SaaS, 3D or AI industry.
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Experience in ML / data‑science roles, especially with LLMs or NLP.
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Prior work evaluating foundational models or working with graphics / 3‑D datasets.
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Located in or near one of our employee hubs — Bay Area, CA; Seattle, WA; New York, NY (NJ); Vancouver or Toronto, Canada.
