AI-Native Builder

FarosSan Mateo, CA
$200,000 - $250,000

About The Position

Software engineering is undergoing the largest transformation in its history. As organizations invest heavily in AI for software development, they're facing a new set of questions: Where is AI actually being used? What impact is it having? Which investments are creating value? Where are teams getting stuck? And how do humans and AI work together effectively at scale? Faros helps organizations answer those questions. We sit at the center of the engineering operating system, connecting data across code, pull requests, deployments, work tracking systems, developer workflows, and AI tools. This gives us a uniquely rich view into how software is being built, how AI is being adopted, and what outcomes organizations are actually getting from those investments. That same operational context is also what makes AI effective in large, complex enterprises. AI performs best when it understands the systems, people, processes, codebases, and business context surrounding a decision. Faros helps create and organize that context, enabling AI systems to operate with greater accuracy, relevance, and trust in environments that are often fragmented, messy, and difficult to navigate. We believe the next generation of engineering organizations will be powered by a combination of human judgment, AI capabilities, and rich operational context. Faros is building the foundation that helps all three work together. Our customers include some of the world's most sophisticated engineering organizations, including Autodesk, Discord, Coursera, and others.

Requirements

  • Strong software engineering fundamentals
  • A history of building products, systems, tools, automation, workflows, or side projects
  • Demonstrated ability to learn new technologies quickly and independently
  • Experience using AI to accelerate development, research, analysis, or decision-making
  • Strong problem-solving skills and comfort operating in ambiguous environments
  • Ability to rapidly move from idea to implementation
  • Evidence of curiosity, initiative, and self-directed learning
  • Excellent written and verbal communication skills
  • Strong judgment and an ability to reason through tradeoffs
  • A bias toward action and experimentation

Nice To Haves

  • Built systems, platforms, tools, or workflows adopted by teams or organizations
  • Designed AI agents, agentic workflows, evaluation frameworks, or AI-powered products
  • Built automation that significantly improved organizational productivity
  • Open-source contributions, hackathon projects, startups, research projects, or other evidence of self-directed building
  • Deep experimentation with modern AI models, agents, developer tools, or emerging technologies
  • Experience navigating major technology shifts and helping others adapt
  • A track record of identifying important opportunities before they become obvious

Responsibilities

  • Build the intelligence layer that helps engineering organizations understand how work happens across people, code, systems, and AI
  • Create agents and workflows that use Faros's operational context to assist with engineering planning, delivery, review, quality, reliability, and decision-making
  • Design the context systems, memory, tooling, and retrieval capabilities that allow AI to operate accurately within the messy realities of enterprise software development
  • Build evaluation frameworks that measure the effectiveness of humans, AI, and human-AI systems against real engineering outcomes
  • Develop reusable platform capabilities that make it easier for customers to build, deploy, govern, and improve AI-powered engineering workflows
  • Rapidly experiment with emerging models, tools, and techniques, turning promising ideas into customer-facing capabilities
  • Use data and evidence to identify bottlenecks in software delivery and create products that help organizations continuously improve
  • Help define what great engineering looks like in a world where humans and AI build software together
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