Data Platform Engineer

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figmas platform helps teams bring ideas to lifewhether youre brainstorming creating a prototype translating designs into code or iterating with AI. From idea to product Figma empowers teams to streamline workflows move faster and work together in real time from anywhere in the world. If youre excited to shape the future of design and collaboration join us!

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figmas next generation of AI-driven products and data experiences.

This is a unique opportunity to be an early engineer shaping Figmas ML and data platform enabling everything from self-serve analytics to production-grade AI systems. Youll work at the intersection of data infrastructure and machine learning building scalable systems that empower Data Science unlock AI capabilities across the company and bring data and models closer to the product experience.

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

What youll do at Figma:

• Lead work on Figmas AI data agent to enable self-serve analytics by owning the data-agent layer building prompt-processing pipelines instrumenting interactions and delivering prompt-based usage analytics
• Own and evolve Figmas ML and data platform including model serving feature pipelines workflow orchestration CI/CD for models and production monitoring
• Build product-facing data systems and data products so models and data become first-class components of Figmas product experience
• Ship platform tooling that enables Data Science teams to deploy iterate on and operate models effectively including feature stores rollout systems and observability
• Design and scale infrastructure for AI-assisted and natural language interfaces to data unlocking self-serve analytics across the company
• Drive cross-functional platform initiatives aligning data contracts SLAs and system design across Data Science AI/ML Infrastructure and Product
• Improve the developer experience for ML and data practitioners through robust abstractions tooling and platform capabilities

Wed love to hear from you if you have:

• 5 years of experience in data platform infrastructure or machine learning engineering with at least 1 years working on AI or ML systems
• Experience building and operating end-to-end ML systems in production (training evaluation deployment monitoring)
• Strong programming skills in Python or a similar language with proven ability to build reliable scalable systems and services
• Experience designing ML infrastructure (model serving feature pipelines workflow orchestration) and scalable system architectures
• Proven ability to work cross-functionally and drive projects across Data Science Engineering Infrastructure and Product with experience in data modeling and data product design

While its not required its an added plus if you also have:

• Experience with ML platform tooling such as MLflow Kubeflow feature stores or CI/CD for ML workflows
• Familiarity with LLMs RAG systems prompt processing or AI-native infrastructure
• Experience building self-serve analytics platforms or internal data tools
• Experience with modern data stack technologies such as Snowflake dbt or Dagster and cloud platforms such as AWS
• A strong product mindset and interest in connecting platform work to user and business impact

At Figma one of our values is Grow as you go. We believe in hiring smart curious people who are excited to learn and develop their skills. If youre excited about this role but your past experience doesnt align perfectly with the points outlined in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.

At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts experiences and opinions allows our employees our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity/expression veteran status or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories consistent with legal requirements.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role participate in the interview process perform essential job functions and receive other benefits and privileges of employment. If you require accommodation please reach out to . These modifications enable an individual with a disability to have an equal opportunity not only to get a job but successfully perform their job tasks to the same extent as people without disabilities.

Examples of accommodations include but are not limited to:

• Holding interviews in an accessible location
• Enabling closed captioning on video conferencing
• Ensuring all written communication be compatible with screen readers
• Changing the mode or format of interviews

To ensure the integrity of our hiring process and facilitate a more personal connection we require all candidates keep their cameras on during video interviews. Additionally if hired you will be required to attend in person onboarding.

By applying for this job the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figmas Candidate Privacy Notice.