Simulate how real customers respond to a launch, price change, or campaign — before you ship. Built by the Stanford researchers behind generative agents. Backed by Index.
About the role
As a Data Products - Member of Technical Staff, you will build the systems that bring real human signal into Simile. Our simulations are only as good as the data behind them. The Data Products team owns how that data is collected, structured, secured, and made useful. That includes our in-house AI interview platform, which runs real-time, adaptive conversations with people at scale, as well as the infrastructure that lets the world's most security-conscious organizations trust Simile with their data. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Experience: 5+ years of professional engineering experience (excluding internships) at tech and product-driven companies, including ownership of production systems that customers depend on
- Backend & Data Proficiency: Strong command of Python and/or TypeScript, plus solid SQL and data modeling fundamentals. Experience with relational databases (e.g., Postgres) and cloud infrastructure (AWS, GCP, or Azure)
- Data Systems Experience: Hands-on experience building data pipelines or integrations, including batch and/or streaming processing, workflow orchestration (e.g., Temporal), and schema evolution
- Security Mindset: Practical experience with authentication and authorization, encryption, secrets management, multi-tenancy, and handling sensitive data in enterprise or regulated environments
- Product Thinking: A track record of balancing technical excellence with a pragmatic approach to shipping, always keeping the customer's problem at the center of the solution
- Adaptability: Proven ability to thrive in a fast-growing environment by navigating loosely defined tasks and managing competing priorities effectively
More about this role
Pilots don't train with real passengers. Actors don't rehearse with real audiences. Yet, the most consequential decisions in society are often pushed straight to production.
Simile is changing that. We have built the first AI simulation of society, populated by generative agents based on real humans. Our research pioneered the field of AI-based simulation, proving it is possible to model human behavior with high accuracy. Today, we are developing a Foundation Model to predict human behavior in any situation, at any scale.
We have raised $300M in total funding, with a $2B post-money valuation in our latest round. Our investors include Greenoaks, Index Ventures, Hanabi, A*, Bain Capital Ventures, Factory, CVS Health Ventures, and Definition.
As a Data Products - Member of Technical Staff, you will build the systems that bring real human signal into Simile. Our simulations are only as good as the data behind them. The Data Products team owns how that data is collected, structured, secured, and made useful. That includes our in-house AI interview platform, which runs real-time, adaptive conversations with people at scale, as well as the infrastructure that lets the world's most...
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