--- title: 'AI-Native Builder at Faros' canonical: 'https://feeny.ai/job/ai-native-builder-faros-san-mateo-3svkxeqxp62p' type: 'job' last_seen: '2026-09-09' --- # AI-Native Builder at Faros - **Company:** Faros - **Location:** San Mateo, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-06-23 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/faros-ai/f0978123-07f9-457e-9236-dc136ac1c0e7 ## Job description ## ABOUT FAROS 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. ## ABOUT THE ROLE We are looking for AI-Native Builders. This is not a traditional software engineering role. We are not looking for people who simply use AI tools. We are looking for builders who understand that the scarce resource is no longer code — it is judgment. As an AI-Native Builder, you will identify opportunities, rapidly test ideas, build products, automate workflows, create capabilities, design evaluation systems, and help define how engineering itself evolves in the age of AI. You may build software products, internal platforms, agent workflows, evaluation frameworks, data systems, automation pipelines, prototypes, or entirely new capabilities that do not yet fit into a traditional organizational chart. Success in this role is measured by outcomes, learning velocity, and leverage — not by lines of code written. You will: - 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 ## WHAT WE VALUE Outcomes over activity The goal is not token maxxing. The goal is not more lines of code, more prompts, or more pull requests. The goal is creating value. Leverage over labor As the cost of execution falls, the ability to create leverage becomes increasingly valuable. AI-native builders create systems, workflows, context, automation, and capabilities that amplify the output of people, teams, and agents. Learning velocity over existing expertise The half-life of knowledge continues to shrink. The people who thrive won't necessarily be those who know the most today, but those who can learn, adapt, and reconfigure themselves the fastest as the landscape changes. Experiments over opinions The cost of testing ideas has never been lower. When uncertainty exists, we should prefer evidence over debate. We learn by building. Capabilities over interfaces We're no longer building exclusively for humans. Agents should be treated as first-class citizens. Great builders create capabilities that can be composed, reused, automated, and leveraged by people, agents, workflows, and systems alike. Systems over silos AI lowers the cost of operating outside your specialty, making it possible for individuals to contribute across product, design, frontend, backend, data, and operations in ways that were previously impractical. The most effective builders will combine depth in one area with the ability to navigate many others. Human judgment over human execution Humans should increasingly spend their time deciding, evaluating, designing, and guiding. Machines should increasingly spend their time executing. ## REQUIRED QUALIFICATIONS We care far more about evidence of exceptional building than specific credentials. You will likely demonstrate many of the following: - 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 ## PREFERRED QUALIFICATIONS The strongest candidates often demonstrate one or more of the following: - 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 ## About Faros ## Company Overview - **One-liner**: Faros provides an AI-native engineering intelligence platform that gives leaders visibility into how work operates across code, people, and systems, enabling them to measure quality, productivity, and AI impact. - **Entity Type**: Private (Series A) - **Headquarters**: San Mateo, California, United States - **Founded**: 2019 - **Founders**: Vitaly Gordon (CEO), Shubha Nabar (Chief Scientist), Matthew Tovbin (CTO) – all former founding team of Salesforce Einstein ## Core Business - **Primary industry**: Engineering Intelligence / Developer Productivity / AI Operations - **Target customers**: B2B, Enterprise engineering teams and leaders - **Mission**: “To forge a world where engineering moves at the speed of ideas.” – The company advances those who build, by turning engineering data into actionable insights. ## Products & Services - **Faros Platform**: An AI-powered knowledge graph that unifies engineering data (people, agents, processes, tools) to provide a single pane view of velocity, quality, goals, costs, and AI token spend. Features include DORA metrics, AI impact & ROI measurement, token intelligence, and context for AI agents. Integrates with any SDLC tool and AI agent in days. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Annual Revenue of **$4.2M** (LinkedIn estimate) / Total Funding of **$36M** - **Notable Investors/Partners**: SignalFire (led Seed round), Lobby Capital / David Hornik (led Series A); Partner mention: Microsoft Azure (case study) - **Growth Signals**: 43 employees (+38.1% YoY headcount growth); 15 active job openings; customer wins include Vimeo; published “AI Engineering Report 2026” based on data from 22,000 developers across 4,000 teams ## Competitive Advantages - **Founding team from Salesforce Einstein** – deep enterprise AI experience - **AI-native architecture** – builds a knowledge graph of how teams build software, providing context that makes AI agents more effective - **Complete vendor-agnostic integration** – works with any AI tool, SDLC, and workflow - **Proven ROI** – customers report 40% fewer failed outcomes and higher PR velocity - **Enterprise-grade security** and scalability handling thousands of engineers ## Strategic Focus - **AI Transformation**: Helping organizations trial, scale, and optimize AI by measuring its impact on productivity, quality, and developer experience - **Token Intelligence**: Tracing every AI dollar to shipped outcomes to justify investment - **Initiative Acceleration**: Using AI-powered progress and capacity insights to keep commitments on track ## Why Work Here - **Culture**: Values include Ownership, Intensity, Craftsmanship, and Transformational impact. The team acts like founders and optimizes for momentum and learning over comfort. - **Work Environment**: Hybrid/remote-friendly; headquarters in San Mateo, CA with team members across the US, Argentina, Canada, and Switzerland. - **Engineering Culture**: High-agency, data-driven, with a focus on building enterprise software that shapes how humans and AI collaborate. Opportunity to define the future of engineering operations. - **Perks & Recognition**: LinkedIn employer rating **4.5/5** (2 reviews) with perfect scores for Work-Life, Culture, and Career. Active hiring across engineering, sales, product, and design. ## Sources 1. [faros.ai](https://www.faros.ai) 2. [faros.ai - Company](https://www.faros.ai/company) 3. [faros.ai - Careers](https://www.faros.ai/company/careers) 4. [LinkedIn](https://www.linkedin.com/company/faros-ai) 5. [CB Insights](https://www.cbinsights.com/company/faros) ## Other roles at Faros - [Software Engineer - New Grad](https://feeny.ai/job/software-engineer-new-grad-faros-san-mateo-108mefw9s9jg) — San Mateo, CA - [Product Manager, AI Native Initiatives](https://feeny.ai/job/product-manager-ai-native-initiatives-faros-san-mateo-rzvn790vjx64) — San Mateo, CA - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-faros-san-mateo-raqwtga9mkvz) — San Mateo, CA - [Sales Engineer (NYC)](https://feeny.ai/job/sales-engineer-nyc-faros-new-york-dphsh0y8b38w) — New York, NY - [Sales Engineer (Bay Area)](https://feeny.ai/job/sales-engineer-bay-area-faros-san-mateo-shnxmd05520h) — San Mateo, CA - [Strategic Account Manager](https://feeny.ai/job/strategic-account-manager-faros-san-mateo-23248asaxjd7) — San Mateo, CA - [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-faros-san-mateo-y8a7ebwbfkx1) — San Mateo, CA - [AI Engineering Tech Lead / Architect](https://feeny.ai/job/ai-engineering-tech-lead-architect-faros-san-mateo-f5qvh68g3m0w) — San Mateo, CA - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-faros-san-mateo-j3sxf38yjz4g) — San Mateo, CA