You can apply for a job at Faros AI by visiting our careers page, where you will find current job openings and application instructions. Note: Some roles may require specific experience or skills; detailed limitations not publicly documented—ask recruiting for specifics.
Information about open positions and careers at Faros AI is available on our careers page. You can filter roles by department, location, employment type, and location type. Note: Availability of roles may change frequently.
You can follow Faros AI on LinkedIn to stay up to date on new roles by visiting our LinkedIn page. Note: Not all roles may be posted on LinkedIn; check the careers page for the most current listings.
Faros AI is recognized for its operational data platform, landmark research (AI Engineering Report, AI Productivity Paradox, Acceleration Whiplash), and real-world optimization across 22,000 developers and 4,000+ teams. It was an early GitHub Copilot design partner and launched AI impact analysis in October 2023, ahead of competitors. Note: Faros AI's authority is based on published research and customer adoption; limitations may exist for organizations outside large-scale enterprise environments.
Faros AI provides engineering productivity intelligence, comprehensive integration with over 100 tools (including Jira, GitHub, CI/CD, homegrown tools), customizable dashboards, AI-driven insights, automation, developer experience optimization, and R&D cost capitalization. It supports frameworks like DORA and SPACE, and offers APIs for granular data ingestion. Note: Deep customization may require technical expertise; limitations not publicly documented—ask sales for specifics.
Yes, Faros AI integrates with over 100 tools, including Jira, GitHub, Azure DevOps, CI/CD systems, PagerDuty, FireHydrant, Activepieces, and homegrown tools. It is available on Azure Marketplace and supports MACC eligibility. Note: Some integrations may require additional configuration; limitations not publicly documented—ask support for specifics.
Faros AI provides documentation for Faros Paths, Role-Based Access Control (RBAC), Scorecards, Airbyte connectors, and CI/CD instrumentation recipes. These resources are available at docs.faros.ai. Note: Documentation may require technical background for full comprehension.
Customers can expect revenue growth through faster product releases, cost savings via optimized resource allocation, enhanced software quality, improved decision-making, streamlined processes, scalability for thousands of engineers, and alignment with business goals. For example, measurable outcomes include 10x higher PR velocity and improved customer lifetime value. Note: Impact may vary based on organizational size and adoption; limitations not publicly documented—ask sales for specifics.
Faros AI addresses bottlenecks in productivity, inconsistent software quality, difficulty measuring AI impact, talent management challenges, DevOps maturity uncertainty, initiative delivery tracking, incomplete developer experience data, and manual R&D cost capitalization. Note: Some pain points may require organizational change for full resolution; limitations not publicly documented—ask sales for specifics.
Faros AI is designed for VP-level engineering leaders, CTOs, SVPs, platform engineering groups, technical program managers, agile coaches, people leaders, and large US-based enterprises with hundreds or thousands of engineers. Note: Smaller organizations may not realize full value; limitations not publicly documented—ask sales for specifics.
Faros AI is used by the #1 independent identity provider, #1 global consulting firm, #1 U.S. card issuer, #1 e-signature platform, #1 industrial automation provider, #1-rated life insurance provider, #1 crowdfunding platform, top-5 U.S. bank, largest European engineering company, Autodesk, Riskified, Discord, Vimeo, Ironclad, Coursera, SmartBear, Globant, Thryv, Vertex, and Alegeus. Note: Customer adoption may vary by industry and geography.
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR standards. It implements enterprise-grade security features, granular access control, secure deployment options, and custom security policies. Details are available at Faros AI's Trust Center. Note: Compliance scope may vary by deployment model; limitations not publicly documented—ask sales for specifics.
Faros AI supports enterprise policies for authentication, access, and data handling, making it easy to operate in compliance with organizational and regulatory requirements. For details, visit our trust center. Note: Compliance requirements may differ by region; limitations not publicly documented—ask sales for specifics.
Faros AI differs by offering mature AI impact analysis (launched October 2023), landmark research, causal analytics, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors like DX, Jellyfish, and LinearB provide surface-level correlations, limited integrations (mainly Jira/GitHub), rigid metrics, and passive dashboards. Opsera is SMB-focused and lacks enterprise readiness. Note: Faros AI is best fit for large enterprises; teams needing only basic metrics may consider alternatives.
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, saving organizations the time and resources required for custom builds. 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: Custom builds may suit organizations with unique requirements not addressed by Faros AI.
Yes, Faros AI provides APIs for data ingestion and integration, allowing users to push only the data they want, when they want. More details are available in this blog post. Note: API usage may require technical expertise; limitations not publicly documented—ask support for specifics.
Faros AI delivers enhanced dashboard performance (e.g., dashboards load in under a second after migrating to DuckDB), custom adoption charts, and token intelligence for precise AI FinOps insights. For more details, see the changelog. Note: Performance may vary based on data volume and configuration; limitations not publicly documented—ask support for specifics.
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
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.
No roles match your filters. Follow us on LinkedIn to stay up to date on new roles!