Engineering Manager, Automation Intelligence

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the Automation Intelligence engineering team, reporting directly to the VP of Engineering.

• Guide the automation intelligence product from its Beta phase through GA to a standalone commercial launch.

• Oversee engineering readiness, encompassing scope, estimates, service reliability, operating limits, API and MCP coverage, and launch evidence.

• Define and validate throughput, latency tails, rate limiting, and availability SLOs.

• Conduct staged detection rollouts using feature flags, rollback plans, and go/no-go evidence.

• Transform design-partner feedback and customer-reported false positives into prioritized engineering tasks.

• Establish and manage a weekly detection quality loop that includes test corpora, automated FP/FN testing, regression coverage, and drift monitoring.

• Enhance coverage for AI agents, assistants, self-hosted agents, stealth and anti-detect browser automation, and agent infrastructure.

• Advance the classification contract to incorporate automation type, identity status, confidence, and reason codes.

• Manage, mentor, and develop senior engineers while recruiting additional team members.

• Set team objectives, communicate decisions, establish engineering practices, and negotiate working agreements with a sibling team.

• Implement and assess the agent-first development model, publishing the resulting playbook.

• Maintain the agent harness as infrastructure.

• Ensure contract-first APIs with OpenAPI, CI breaking-change detection, generated documentation, and SDKs.

• Own observability through logs, metrics, traces, and SLOs.

• Within the first 90 days, finalize team ownership lines, launch quality and engineering baselines, deliver Beta-gate evidence, and review the AI-native operating model.

⛳️ Requirements

• Minimum of 3 years managing software engineers, preferably with experience in senior and staff-level individual contributions.

• Proven history of shipping products successfully through launch.

• At least 8 years in software engineering, ideally alongside management experience.

• Proficient in critically reading design documents and pull requests, engaging senior engineers on architecture, and making technical decisions.

• Relevant expertise in bot detection or management, fraud or abuse prevention, web security, client-side engineering, or high-volume API services.

• Experience with measurement-driven engineering, including test corpora, precision/recall or false-positive/false-negative tracking, regression suites, and SLOs.

• Hands-on experience with AI coding agents.

• Experience collaborating with product managers, researchers, and customer-facing teams.

• Excellent written communication skills, with the ability to articulate detection quality and launch readiness to executives and customers.

• Direct experience with bot detection, management, or anti-automation products (preferred).

• Familiarity with AI agent ecosystems (preferred).

• Experience with browser internals or headless/automation frameworks (preferred).

• API-first product experience, including public OpenAPI specs, SDKs, and MCP or similar agent-facing surfaces (preferred).

• Experience in forming a new team from an existing one (preferred).

• Background in a high-growth SaaS company with enterprise customers (preferred).

• Must be authorized to work from the home location.

• No visa sponsorship is available.

🏝️ Benefits

• 100% remote work opportunity.

• Flexibility to work from nearly any country, subject to regulatory and security constraints.

• Inclusive work environment.

• Opportunity to lead AI-native engineering, contract-first APIs, and a self-directed team model.

• Direct reporting line to the VP of Engineering.

• Dedicated product manager from the outset.

• Support from product, go-to-market, and executive teams.

• No visa sponsorship; teammates must have authorization to work from their home location.