Faros, Redwood City
Join our AI team to build Lighthouse AI – the intelligence engine that helps engineering leaders understand organizational bottlenecks and improve performance in an age where AI is redefining the engineering craft. You'll work on natural language interfaces, causal analysis models, and ML-driven insights that impact how thousands of engineers work at companies like Autodesk, Discord, and Vimeo.
Beyond generating insights, you will help pioneer how AI agents operate safely and effectively inside complex enterprise engineering environments. This includes designing the operational context, evaluation frameworks, and feedback loops that allow agents to reason over real engineering workflows, measure the quality and impact of their actions, and continuously improve over time. You will work at the intersection of data infrastructure, AI systems, and engineering operations, helping define how humans and AI collaborate to build software together.
Our team meets in-person several days a week in San Mateo, CA.
Full-Time – $210,000–$250,000 On Target Earnings Annually.
At Faros, we are building the engineering intelligence platform for the AI era. We help engineering organizations understand the impact of AI on software delivery while providing the operational context that enables AI agents to operate with greater accuracy, relevance, and trust in complex enterprise environments. Our platform is used by some of the most sophisticated engineering teams in the world, ranging from fast-growing technology companies to F500 enterprises. We believe the future of software development will be built by humans and AI working together, and we're building the foundation that makes that possible.
LightfieldHQ: San Francisco
$220K–$300K / yr
Posted Sep 23, 2026
Eloquent AISan Francisco, California
$150K–$250K / yr
Posted Jul 24, 2025
$215K–$250K / yr
Posted 22 days ago
Eloquent AISan Francisco
Pay not posted
Posted Aug 22, 2025
Pay not posted
Posted Oct 27, 2025
Pay not posted
Posted Feb 19, 2026
Source: the Faros Ashby job board. We last checked this job 10 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
This base pay is near the median for senior ML and AI engineering jobs in the Bay Area.
We compare the middle of each posted range. This is base pay as posted. The group does not include this job.