Engineering Manager, Automation Intelligence

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engineering Manager, Automation Intelligence based in Saudi Arabia. Lead the development of an innovative intelligence platform designed to differentiate legitimate AI agents and automated traffic from malicious bots and other online threats. In this role, you will manage a high-impact engineering team responsible for delivering advanced detection capabilities, classification systems, and APIs that help organizations navigate an increasingly automated internet. You will guide the product from beta through general availability and commercial launch, ensuring exceptional detection accuracy, reliability and scalability. Combining strategic leadership with strong technical judgment, you will create quality-driven engineering practices that support an original AI-driven development model powered by coding agents and automated reviews. You will also build a high-performance team with the autonomy to innovate, deliver services independently and continuously improve. This fully remote opportunity provides direct collaboration with engineering leadership and the opportunity to shape a strategically important product and the future of software engineering practice. ### Responsibilities: Product Delivery and Launch Readiness: Own the engineering roadmap from beta to public availability and standalone commercial launch, and partner with product management on requirements, estimates, prioritization, delivery sequence, and launch readiness criteria. Service Reliability and Performance: Definition and validation of service operational limits These capabilities, including throughput, latency, rate limiting, availability goals, and service level objectives (SLOs), ensure the platform meets production requirements. Detection Quality and Accuracy: Establish a continuous detection quality framework using representative test data sets, false positive and false negative tests, regression sets, and monitoring to maintain and improve detection performance. Automation and classification coverage: Directing the detection capabilities of AI agents, assistants, stealth automation, headless browsers, and other emerging frameworks. Develop classification systems to provide detailed context, trust levels, identity verification status, and reason codes. Secure deployment and continuous improvement: Manage phased deployments of detection updates using feature flags, rollback actions, and measurable release criteria. Incorporate customer feedback and reported detection errors into prioritized engineering improvements. Team Leadership and Development: Lead, coach and develop a small team of senior engineers, manage recruitment as the team grows, and create clear ownership, accountability and opportunities for professional growth. Engineering Standards and Operational Excellence: Deliver effective engineering practices, including technical specifications, code review standards, warehouse ownership, and performance standards covering delivery speed, productivity, predictability, failure rates, and recovery time. Cross-team collaboration: Create effective working agreements with neighboring engineering teams, clarify shared responsibilities, and gradually reduce dependencies that prevent independent development and deployment. The original engineering leadership of AI: Lead an agent-first development workflow where AI tools support specifications, coding, review, and security checks, with appropriate human oversight for critical changes. Maintain and improve tools, instructions and review frameworks that enable this approach. Measure and share knowledge: Evaluate the effectiveness of AI-assisted development against established engineering baselines, conduct regular performance reviews, and document lessons learned to inform broader engineering practices. API design and integration standards: Ensure that all product interfaces follow a contract-first approach, with OpenAPI specifications, automatic change detection, generated documentation and SDKs, and APIs that the bot can access for developers and AI agents. Observability and Executive Communication: Service-specific observability through logs, metrics, traces, and service level modules. Clearly communicate engineering progress, technical trade-offs, detection quality, and release readiness to leadership, product partners, and customer-facing teams. ##

Requirements

• ## Requirements: * **Engineering Management Experience:** At least three years of experience managing software engineers, ideally including senior and staff-level individual contributors, with a proven track record of delivering complete products to launch. Strong technical foundation: ** At least eight years of software engineering experience prior to or alongside management. Ability to critically evaluate technical designs and pull requests, participate in architectural discussions, and make sound technical decisions when trade-offs arise. Relevant Domain Experience: ** Strong experience in at least one of the following areas: bot detection or management, fraud and abuse prevention, web security, browser or client architecture, or high-volume API services. Quality-Driven Engineering: ** Experience building or running measurement-driven engineering processes, including test datasets, precision and recall metrics, false positive and negative tracking, regression testing, monitoring, and service level targets. Practical experience in AI coding: ** Regular use of AI coding operators and a working understanding of their strengths, limitations and appropriate application in software development workflow. Product and Cross-Functional Leadership: ** Demonstrated ability to collaborate closely with product managers, researchers, and customer-facing teams, building dependencies, prioritization, and explicit technical trade-offs. Communication and Decision Making: ** Excellent written and verbal communication skills, with the ability to document decisions and their reasons Explain technical performance, detection quality, and release readiness to technical and non-technical stakeholders. Team Building and Autonomy: ** Ability to develop high-performance engineering teams, establish clear ownership structures, hire effectively, and create an environment where experienced engineers can work independently and deliver services consistently. Preferred Experience in Bot Detection and Security: ** Direct experience with bot detection, bot management, anti-automation products, content delivery networks (CDNs), web application firewalls (WAFs), fraud prevention, or security platforms. Preferred AI Agent Knowledge: ** Familiarity with AI agent ecosystems, agent frameworks, verified agent protocols, and how autonomous agents interact with websites and APIs. Preferred Browser and Automation Experience: ** Understanding of browser internals, headless browsers, automation frameworks, and techniques used to detect or avoid automated activity. API and Platform experience preferred: ** Experience running API-first products with the public OpenAPI specification, software development kits (SDKs), Model Context Protocol (MCP) or similar agent-facing interfaces. Preferred Organizational Experience: ** Experience creating a new engineering team from an existing organization, separating code bases, defining ownership boundaries, and maintaining productive relationships between teams
• * **Engineering Management Experience:** At least three years of experience managing software engineers, ideally including shareholder Maine individuals are both senior and staff level, with a proven track record of delivering complete products through to launch. * **Strong technical foundation: **At least eight years of software engineering experience prior to or alongside management. Ability to critically evaluate technical designs and pull requests
• participating in architectural discussions
• And make sound technical decisions when trade-offs arise. * **Relevant Domain Experience:** Strong experience in at least one of the following areas: bot detection or management, fraud and abuse prevention, web security, browser or client architecture, or high-volume API services. Understanding adversarial environments, where automated threats are constantly evolving, is particularly valuable. * **Quality-Driven Engineering:** Experience building or running measurement-driven engineering processes, including test data sets
• precision and recall measures
• Regression testing, monitoring and service level objectives. * ** Hands-on experience in AI coding: ** Regular use of AI coding agents and a working understanding of their strengths, limitations and appropriate application in software development workflow. * **Product and Cross-Functional Leadership:** Demonstrated ability to collaborate closely with product managers, researchers, and customer-facing teams, making dependencies, priorities, and technical trade-offs clear. * **Communication and Decision Making:** Excellent written and verbal communication skills, with the ability to document decisions and their reasons and explain technical performance
• And prepare to issue to each of the owners of the The interest of technicians and non-technical people. * **Team Building and Autonomy:** Ability to develop high-performance engineering teams
• establishing clear ownership structures
• recruiting effectively
• And create an environment where experienced engineers can work independently and deliver services consistently. * ** Preferred Bot Detection and Security Experience: ** Direct experience with bot detection, bot management, anti-automation products, content delivery networks (CDNs), web application firewalls (WAFs), fraud prevention, or security platforms. * **Preferred AI Agent Knowledge:** Familiarity with AI agent ecosystems
• authorized agent protocols
• and technologies used to detect or avoid automated activity. * ** API and Platform Experience Preferred: ** Experience running API-first products with public OpenAPI specifications, software development kits (SDKs), Model Context Protocol (MCP), or similar agent-facing interfaces. * ** Preferred Organizational Experience: ** Experience creating a new engineering team from an existing organization
• Determine ownership boundaries
• Maintaining productive relationships between teams. * **Preferred Work Environment: ** Background in a high-growth SaaS company serving enterprise clients. ## Benefits: * **Fully Remote Work:** Join a globally distributed organization
• It works remotely first
• what Subject to state eligibility and local employment requirements. * ** Strategic Leadership Opportunity: ** Reports directly to the Vice President of Engineering and leads a strategically important product initiative with clear goals and significant decision-making autonomy. * **Product Ownership and Impact:** Guide an emerging product from beta to commercial launch, with dedicated product management support and a clear path to market. * **Experienced Engineering Team:** Lead a group of senior engineers, with plans to expand the A-Team and hire additional specialist talent. * ** Innovation and Technical Leadership: ** Help create an original AI-driven engineering model, with the opportunity to influence development standards and practices across the broader engineering organization. * **Professional Growth:** Develop expertise in discovering AI agents
• prevent online fraud
• and large-scale services
• And advanced engineering management. * **Inclusive Work Environment:** Join a workplace that values diverse viewpoints, professional respect and equal opportunity. * **IMPORTANT EMPLOYMENT CONSIDERATIONS:** The original post states that some countries are excluded for regulatory and security reasons and that visa sponsorship is not available. Eligibility, compensation and contractual arrangements must be confirmed in India during recruitment. **How the employer Works:** We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively and fairly against the essential requirements of the job. Our system selects the best candidates and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews and evaluations) are managed by F Their inner saliva. We appreciate your interest and wish you the best! [Why apply through the employer?]( **Data Privacy Notice:** By submitting your application
• you acknowledge that the employer will process your personal data to evaluate your candidacy and share relevant information with the employer. Such processing is based on legitimate interest and pre-contractual procedures under applicable data protection laws (including the GDPR). You can exercise your rights (access
• rectification
• erasure
• objection) at any time. LE-CL1

Skills