Product Engineer - Member of Technical Staff

As a Product Engineer – Member of Technical Staff, you will be responsible for building the platform that harnesses our core foundation model. This isn't just about building a UI; it’s about designing the infrastructure and interfaces that enable complex, multi-agent simulations for the world’s most sophisticated organizations.

We are looking for full-stack engineers who can bridge the gap between cutting-edge AI research and production-grade enterprise software. You will design and scale the systems that allow customers to orchestrate thousands of generative agents, observe emergent behaviors, and derive actionable insights from simulated societies.

• End-to-End Ownership: Own the development lifecycle for new enterprise products, from initial design and backend services to user-facing components and APIs.
• Product Collaboration: Partner closely with product managers, designers, and external customers to translate complex human-behavior simulations into simple, usable interfaces.
• System Evolution: Build and iterate on systems that drive customer workflows, ensuring they are reliable, performant, and scalable as we model human behavior at a global scale.
• Technical Excellence: Write clean, well-tested code and participate in rigorous code reviews to maintain high system quality and safety in production.
• Pragmatic Shipping: Balance long-term technical architecture with the need to ship incrementally and learn from real-world usage.

• Experience: 5+ years of professional engineering experience (excluding internships) at tech and product-driven companies.
• Full-Stack Proficiency: Strong command of TypeScript and React for the frontend, and proficiency in at least one backend language (e.g., Python, Go, Rust, or Node.js).
• 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.
• Systems Fundamentals: Experience with relational databases (e.g., Postgres/MySQL) and a solid understanding of distributed systems concepts.
• Adaptability: Proven ability to thrive in a fast-growing environment by navigating loosely defined tasks and managing competing priorities effectively.

• Foundational Experience: Former founder or early startup engineer who has built and scaled a product from scratch.
• AI/ML Interest: While direct experience isn't required, a deep interest in how generative agents and foundation models can be surfaced to users is a major plus.
• High-Stakes Reliability: Experience building systems where reliability, safety, and performance are mission-critical.

We prioritize thoughtful conversations and clear examples of past work. Our hiring journey is designed to help both sides align on fit, working style, and expectations.

Reapplication Policy: To ensure a fair and thorough evaluation for all applicants, Simile observes a 90-day waiting period before reconsidering candidates for the same role.

At Simile, we provide competitive compensation packages that include base salary, equity, and comprehensive benefits.

• Salary Range: $200,000 – $400,000 USD
• Note: Final offers are based on experience, specialized skills, interview performance, and relevant training.
• Equity: Grants are available for eligible roles, subject to board approval.
• Health & Wellness: Comprehensive medical, dental, and vision coverage.
• Time Off: Flexible time off policies to support work-life balance.

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.