MeshyAI

Full-stack Engineer

• Collaborate with cross-functional teams to deliver high-quality, user-facing features on time.
• Lead detailed design, implementation, and unit testing across both frontend and backend.
• Build, maintain, and improve distributed, scalable backend services running on Kubernetes.
• Develop clean, maintainable, and fast front-end and back-end code with modern tooling.
• Participate in code reviews and help elevate team engineering standards and best practices.
• Contribute to product experimentation, A/B tests, and analytics instrumentation to support growth initiatives.
• Support and debug production issues, including participation in on-call rotations.

Full Stack Engineer

Security Engineer

• Monitor alerts and notifications from cloud services, security tools, and our SOC/MSSP partners.
• Triage and analyze potential security incidents, determine severity and scope, and coordinate response and remediation.
• Maintain and improve incident response processes, runbooks, and documentation.
• Provide clear communication and reporting during and after incidents.
• Track and manage vulnerabilities across cloud infrastructure, applications, endpoints, and internal SaaS systems.
• Work with engineering and IT teams to prioritize and remediate findings from scanners, CNAPP/CSPM tools, pentests, and bug reports.
• Identify trends and systemic risks, and drive long-term improvements.
• Help maintain secure configurations for our cloud environment (AWS/Azure/GCP).
• Operate and tune cloud and enterprise security platforms such as CSPM, CNAPP, CIEM, EDR/MDM, and SIEM tools.
• Contribute to secure patterns for IAM, network architecture, secrets management, and CI/CD pipelines.
• Partner with engineering on secure design and architecture decisions.
• Establish and enforce security standards, guidelines, and best practices across product, engineering, and IT.
• Drive adoption of secure development practices and cloud security guardrails.
• Support security awareness initiatives and promote a strong security culture company-wide.
• Support security compliance programs such as SOC 2, ISO 27001, and customer due diligence needs.
• Maintain policies, controls, and evidence to satisfy audit and regulatory requirements.
• Coordinate with external security vendors, penetration testers, and GRC partners; ensure findings are processed and resolved.

Product Manager

• Own and drive key enterprise and commercial product areas including API, security, access control, and enterprise analytics, in partnership with our engineering and design teams
• Partner closely with sales, support, and marketing to understand enterprise requirements and support deal cycles
• Collaborate with platform teams to optimize our GTM workflows and platforms
• Identify and prioritize key enterprise workflows and integration points that drive organizational value and expansion

Product Manager, Enterprise and Commercial

Data Analyst

• Build, monitor, and continuously optimize the full-funnel growth process from acquisition, activation, and retention to monetization and referral.
• Analyze conversion rates across funnel stages, identify growth bottlenecks, and deliver actionable optimization recommendations.
• Evaluate A/B tests and product launches, assessing their impact on key growth metrics to guide product iteration.
• Develop and refine user segmentation models based on behavior, lifecycle stage, and business value.
• Identify and profile key user cohorts such as high-value users and at-risk churn users, uncovering their characteristics and needs.
• Partner closely with operations, marketing, and product teams to provide data support and strategic input for initiatives like user segmentation and pricing.
• Measure and optimize the effectiveness of user-focused operational strategies.
• Track and analyze campaign performance across acquisition channels, providing insights for budget allocation and optimization.
• Establish frameworks to evaluate KOL marketing ROI and provide data-driven guidance for influencer and content strategies.
• Help define and maintain core business metrics, and build dashboards to ensure efficient access to insights.
• Collaborate with data engineers to ensure data accuracy, completeness, and continuous improvement of growth-related data models.

Senior Data Analyst

3D Artist

• Build future's 3D tool: Develop 3D creative workflow features based on generative AI, including but not limited to interactive editing tools, character animation, procedural asset generation, etc.
• Make AI-generated assets truly production-ready: Maintain and improve geometry, texture, material, and animation pipelines for 3D asset generation.
• Become the go-to expert for creative solutions: collaborate with art, product, and research teams to design 3D GenAI technical solutions for our users in various industries.

Technical Artist

Sales

• Build and lead Meshy’s B2B sales motion across SMB, Mid-Market, and Enterprise segments.
• Personally drive key strategic deals end-to-end while shaping a repeatable sales process around it.
• Hire, coach, and develop a high-performing sales team (AEs, AMs, SDRs).
• Define ICPs, territories, pricing, and quota structures to support predictable growth.
• Partner with Product and Marketing on messaging, lead generation, and customer feedback loops.
• Create a data-driven sales process — from pipeline management to forecasting and win/loss insights.
• Collaborate with leadership on strategic partnerships, expansion plays, and revenue strategy.

VP of Sales

Engineer

• Design and build robust, scalable tools and pipelines for 3D data editing, cleaning, and transformation.
• Enable efficient processing of large datasets, ensuring assets are optimized for downstream AI training, simulation, or rendering workflows.
• Establish and enforce standards for geometry, UV layouts, LODs, topology, textures, and asset metadata—aligned with AAA game or VFX production pipelines.
• Identify and resolve common asset quality issues like non-manifold geometry, inconsistent scales, broken UVs, missing maps, or inefficient mesh topology.
• Closely partner with research teams to align curation guidelines with model training needs; translate production requirements into actionable filtering rules and pipeline designs.
• Work hand-in-hand with the data team to implement cleaning workflows, asset validation tools, and curation strategies.
• Develop and maintain pipeline integrations between key 3D DCC tools (Houdini, Blender, Maya) and custom processing frameworks.
• Automate asset transformations such as format conversions, polygon decimation, UV re-packing, and LOD generation.

Senior 3D Graphics Pipeline Engineer

Systems Engineer

• Design, implement, and optimize recommendation and ranking algorithms.
• Analyze user behavior data to improve personalization and engagement.
• Evaluate and experiment with new ML methods to enhance recommendation quality.

Recommendation System Engineer

Infrastructure Engineer

• Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data (images, 3D/2D assets, binaries).
• Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics.
• Architect pipelines across cloud object storage (S3, GCS, Azure Blob), data lakes, and metadata catalogs.
• Optimize large-scale processing with distributed frameworks (Spark, Dask, Ray, Flink, or equivalents).
• Support preprocessing of unstructured assets (e.g., images, 3D/2D models, video) for training pipelines, including format conversion, normalization, augmentation, and metadata extraction.
• Maintain data lineage, reproducibility, and governance for datasets used in AI/ML pipelines.

Data Infrastructure Engineer

• Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data (images, 3D/2D assets, binaries).
• Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics.
• Architect pipelines across cloud object storage (S3, GCS, Azure Blob), data lakes, and metadata catalogs.
• Optimize large-scale processing with distributed frameworks (Spark, Dask, Ray, Flink, or equivalents).
• Implement partitioning, sharding, caching strategies, and observability (monitoring, logging, alerting) for reliable pipelines.
• Support preprocessing of unstructured assets (e.g., images, 3D/2D models, video) for training pipelines, including format conversion, normalization, augmentation, and metadata extraction.
• Collaborate with ML researchers to quickly adapt pipelines to evolving pretraining and evaluation needs.

• As an early career Software Engineer, work on designing scalable systems, building product features, and optimizing performance-critical code.
• Specialize in areas aligned with your strengths and interests — Machine Learning, Infrastructure, Data, Frontend, Fullstack, Backend.
• Design, develop, and maintain high-quality software across the tech stack from low-level infrastructure to user-facing products.
• Collaborate with AI researchers, engineers, product managers, and designers to deliver features and improvements.
• Write clean, efficient, and well-documented code with a focus on maintainability.
• Participate in code reviews, debugging, and performance optimization.
• Contribute ideas to shape the direction of products and technical infrastructure.
• Learn and adapt to new tools, technologies, and frameworks as needed.

Software Engineer, New Grad

Technical Recruiter

• Manage full-cycle recruiting for technical roles (engineering & research)
• Partner with hiring managers to define hiring needs and sourcing strategies
• Source and engage top talent across North America
• Ensure an exceptional candidate experience throughout the process
• Track and report recruiting metrics to improve hiring efficiency
• Identify, engage, and close exceptional candidates in AI, machine learning, and software engineering
• Work closely with hiring managers to build strategic sourcing plans and drive hiring decisions
• Shape the hiring process to scale Meshy’s research and engineering teams

• Design and implement technical growth experiments across acquisition, activation, retention, and monetization funnels.
• Build and maintain event tracking systems to capture and analyze user interactions within the platform.
• Leverage frontend (Next.js) and backend (Go) technologies to build, test, and optimize features impacting key growth metrics.
• Collaborate with marketing, product, and data teams to identify growth opportunities and implement technical solutions.
• Move quickly to validate or invalidate hypotheses with minimal viable implementations.
• Monitor and analyze user behavior to inform product decisions and growth strategies.
• Turn insights into actionable code that drives measurable business results.

Growth Engineer

• Meshy is a Silicon Valley 3D generative AI company on a mission to Unleash 3D Creativity; enables fast, affordable 3D asset generation.
• Design, implement, and optimize recommendation and ranking algorithms.
• Analyze user behavior data to improve personalization and engagement.
• Evaluate and experiment with new ML methods to enhance recommendation quality.

Full Stack Engineer

Security Engineer

Product Manager, Enterprise and Commercial

Senior Data Analyst

Senior Data Analyst

Technical Artist

VP of Sales

Senior 3D Graphics Pipeline Engineer

Recommendation System Engineer

Data Infrastructure Engineer

Data Infrastructure Engineer

Software Engineer, New Grad

Technical Recruiter

Growth Engineer

Recommendation Systems Engineer