MeshyAI Logo

MeshyAI

Senior Data & Analytics Engineer

Reposted 3 Days Ago
In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.
The summary above was generated by AI
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:
  • Data Ingestion – Design, build, and maintain scalable ELT & CDC pipelines.
  • 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.
  • Metrics & Dashboards – Define key metrics and build visualizations in Tableau.
  • Deep‑Dive Analysis – Analyze business data to uncover insights that drive key business decisions.
What We're looking for:
  • 5+ years designing and maintaining data‑ingestion pipelines.
  • 5+ years designing analytics schemas and building ELT on modern data stacks (dbt, etc.).
  • 5+ years building data visualizations and analyses using Tableau, Looker, or similar tools.
  • Expert in data‑querying languages (e.g., SQL) and scripting languages (e.g., Python, PySpark, Java, Scala).
  • Strong statistical fluency and expertise in statistical inference for A/B tests, growth, and model analytics.
  • Demonstrated agility—quick to adapt, versatile across toolsets, and eager to learn.
  • Proven ability to communicate ideas and analyses effectively to both technical and non‑technical audiences.
  • BS or MS in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
Nice to have:
  • Experience in the SaaS, 3D or AI industry.
  • Experience in ML / data‑science roles, especially with LLMs or NLP.
  • Prior work evaluating foundational models or working with graphics / 3‑D datasets.
  • Located in or near one of our employee hubs — Bay Area, CA; Seattle, WA; New York, NY (NJ); Vancouver or Toronto, Canada.
Our Values
  • Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
  • Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
  • Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
  • Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.
Why Join Meshy?
  • Competitive salary, equity, and benefits package.
  • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.
  • Flexible work environment, with options for remote and on-site work.
  • Opportunities for fast professional growth and development.
  • An inclusive culture that values creativity, innovation, and collaboration.
  • Unlimited, flexible time off.
Benefits
  • Stock options available for core team members.
  • 401(k) plan for employees.
  • Comprehensive health, dental, and vision insurance.
  • The latest and best office equipment.

Top Skills

Databricks
Dbt
Java
Looker
Pyspark
Python
Scala
SQL
Tableau

Similar Jobs

7 Days Ago
Remote
USA
132K-223K Annually
Senior level
132K-223K Annually
Senior level
Other • Real Estate • PropTech
The role involves creating dashboards and visual frameworks, building data pipelines, performing analyses to uncover insights, and communicating findings to stakeholders.
Top Skills: AirflowDatabricksDbtGoogle App ScriptLookerNode.jsPlotlyPythonRedshiftSnowflakeSparkSQLTableau
7 Days Ago
In-Office or Remote
Plymouth Meeting, PA, USA
Senior level
Senior level
Healthtech
The Senior Manager will lead the development of data operations, focusing on building a data warehouse, managing data quality, and supporting analytics initiatives.
Top Skills: AthenaAWSDbtDuckdbGitPythonQuicksightRedshiftS3SagemakerSnowflakeSQL
10 Days Ago
Remote
USA
97K-130K Annually
Mid level
97K-130K Annually
Mid level
Artificial Intelligence • Cloud • Information Technology • Database • Analytics • Consulting • Cybersecurity
The Senior Data Analytics Engineer analyzes, develops, and delivers business intelligence solutions, builds and maintains databases, and collaborates with clients to meet business needs.
Top Skills: Azure Data FactoryAzure DatabricksAzure SynapseFabricMicrosoft Analytics StackPythonSQL

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account