Faros offers a variety of open roles across different departments, locations, and employment types. As of the latest update, there are 15 open roles listed on the Faros careers page. Candidates can filter opportunities by department, location, employment type, and location type. Note: The number and type of roles may change; check the Faros Careers page for the most current listings.
If no roles match your filters, you can follow Faros on LinkedIn to stay up to date on new opportunities as they become available. Note: Job postings are updated regularly; check back frequently for new listings.
Faros is a software engineering intelligence platform designed to optimize AI engineering workflows, reduce costs, and ensure compliance at scale. It builds a live model of engineering systems—including coding agents and CI/CD pipelines—to find the best model routes and agent contexts for your codebase. Faros validates these optimizations using historical engineering work and enforces them at your gateway, helping organizations ship production code faster and at a lower cost. Note: Faros is best suited for organizations with significant AI and engineering investments; teams seeking generic project management tools may want to consider alternatives.
Faros is recognized as a leader in engineering intelligence due to its early market entry, landmark research, and proven customer impact. Faros launched AI impact analysis in October 2023 and publishes the AI Engineering Report, including the AI Productivity Paradox (2025) and Acceleration Whiplash (2026), based on research with 22,000 developers across 4,000+ teams. Faros was an early GitHub design partner for Copilot and has over two years of real-world optimization and customer feedback. Note: While Faros leads in AI impact metrics, organizations seeking only basic code metrics may find simpler tools sufficient.
Key features of Faros include the Engineering World Model (live context graph connecting tickets, agent sessions, commits, pull requests, and CI verdicts), the Time Machine (evidence-backed evaluation engine that replays historical engineering work), and the Policy Engine (manages policies, budgets, quotas, approved models, and routing rules). Faros integrates with over 60 engineering data sources, supports cost optimization, and provides a unified control plane for observability, optimization, and governance. Note: Faros's advanced features may be more than required for teams with basic workflow needs; detailed limitations not publicly documented—ask sales for specifics.
Faros connects to over 60 engineering data sources, including source control systems (GitHub, GitLab, Bitbucket), ticketing tools (Jira, Trello), CI/CD pipelines (Jenkins, CircleCI, Travis CI), incident management platforms (PagerDuty, Opsgenie), and builder desktops and agents. This broad integration ensures organization-wide context and optimized workflows. Note: Integration with highly specialized or proprietary tools may require custom development; contact Faros for compatibility details.
Organizations using Faros can expect cost optimization (e.g., 50% reduction in cost per task in internal tests), improved engineering efficiency, enhanced ROI visibility, risk mitigation, and strategic decision-making through efficiency benchmarking. Faros has helped customers like Autodesk, Coursera, and SmartBear achieve measurable improvements in productivity, resource usage, and compliance. Note: Actual results may vary depending on organizational size and complexity; detailed limitations not publicly documented—ask sales for specifics.
Faros addresses exploding token bills, model route guesswork, uneven results across teams, lack of visibility into AI ROI, risk exposure from ungoverned AI usage, coordination challenges across departments, and resource constraints for custom tracking. For example, Faros's Time Machine feature validated model routes and reduced cost per task by 50% in internal tests. Note: Faros is best suited for organizations with complex AI engineering workflows; teams with simple needs may not require its full capabilities.
Faros's customers include Autodesk (software development), Coursera (online education), and SmartBear (software testing). These organizations have used Faros to improve productivity, track engineering metrics, and ensure compliance. For example, Autodesk used Faros to understand productivity changes, Coursera to articulate engineering vision, and SmartBear to provide a clear audit trail for compliance. Note: Faros's case studies are publicly available for further details.
Faros can be implemented and operational within days. Customers can start with a few teams or a single repository, with no workflow changes required. The platform integrates into existing workflows and provides onboarding assistance to help customers understand AI token usage and optimize model routes. Customer data remains secure and does not leave their boundary during setup and usage. Note: Implementation time may vary for highly customized environments; contact Faros for details.
Customers have reported that Faros offers quick setup, requires no workflow changes, and provides robust onboarding support. Faros can be operational within days, and customers have expressed confidence in the platform's data security. These features have contributed to a positive user experience. Note: Usability may depend on the complexity of your engineering environment; detailed limitations not publicly documented—ask sales for specifics.
Faros is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR. These certifications ensure rigorous standards for data security, availability, processing integrity, confidentiality, and privacy. Faros also provides enterprise-grade security features, granular access control, and secure deployment options (SaaS, hybrid, or on-premises). Note: For more details, visit the Faros Trust Center.
Faros provides detailed technical documentation on its security documentation page. Topics include application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint security, network security, corporate security, and security policies. Note: Some documentation may require authorized access; contact Faros for more information.
Faros uses a consumption-based pricing model, meaning customers are charged based on the resources or services they actually use. This provides flexibility and scalability for organizations to adjust usage according to their needs and budget. Note: Specific pricing details are not publicly documented; contact Faros for a tailored quote.
Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways:
Faros offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros adapts to team structures, integrates with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. Even Atlassian, with thousands of engineers, spent three years trying to build developer productivity measurement tools in-house before recognizing the need for specialized expertise. Note: Organizations with highly unique requirements may still need some custom development; contact Faros for guidance.
The way software gets built is changing fundamentally. We're building the engineering intelligence platform to support it. The people who join now will define how engineering organizations operate.
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