Engineering Manager, Automation Intelligence

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. Lead the Automation Intelligence engineering team and report directly to the VP of Engineering .

Posted 10/16/2026full-timeRemote • United StatesSeniorLead💰 $159,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams, managing product launches, and ensuring engineering readiness through metrics and observability. Proficient in bot detection, automation intelligence, and API-first product development.

Highest-signal resume keywords

Team LeadershipProduct Launch ManagementBot Detection ExpertiseMeasurement-Driven EngineeringAPI-First Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAutomation IntelligenceBot ManagementAPI DevelopmentSLO DefinitionRegression TestingAI Coding AgentsDesign Document ReviewTechnical Decision MakingHigh-Volume API Services

Soft Skills

Strong Written CommunicationCoaching and MentoringNegotiation SkillsCollaboration with Product Teams

Tools & Technologies

OpenAPICI ToolsSDKsAgent InfrastructureTest Corpora

Industry Keywords

Fraud PreventionWeb SecurityHigh-Growth SaaSClient-Side EngineeringAutomation Frameworks

About the role

Key responsibilities & impact

Lead the Automation Intelligence engineering team and report directly to the VP of Engineering
Take the automation intelligence product from Beta through GA to standalone commercial launch
Own engineering readiness, including scope, estimates, service reliability, operating limits, API and MCP coverage, and launch evidence
Define and validate throughput, latency tails, rate limiting, and availability SLOs
Run staged detection rollouts with feature flags, rollback plans, and go/no-go evidence
Convert design-partner feedback and customer-reported false positives into prioritized engineering work
Establish and operate a weekly detection quality loop with test corpora, automated FP/FN testing, regression coverage, and drift monitoring
Drive coverage for AI agents, assistants, self-hosted agents, stealth and anti-detect browser automation, and agent infrastructure
Evolve the classification contract to include automation type, identity status, confidence, and reason codes
Manage, coach, and grow senior engineers; hire additional team members
Set team goals, communicate decisions, establish engineering practices, and negotiate working agreements with a sibling team
Operate and measure the agent-first development model and publish 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
In 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

What you’ll need

3+ years managing software engineers, ideally including senior and staff-level individual contributors
Track record of shipping products through launch
8+ years in software engineering before or alongside management
Ability to critically read design documents and pull requests, engage senior engineers on architecture, and make technical decisions
Relevant domain depth in bot detection or bot management, fraud or abuse prevention, web security, browser or 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 use of AI coding agents
Experience working with product managers, researchers, and customer-facing teams
Strong written communication and ability to explain detection quality and launch readiness to executives and customers
Direct bot detection, bot management, or anti-automation product experience (nice to have)
Familiarity with AI agent ecosystems (nice to have)
Browser internals or headless/automation framework experience (nice to have)
API-first product experience with public OpenAPI specs, SDKs, and MCP or similar agent-facing surfaces (nice to have)
Experience forming a new team out of an existing one (nice to have)
Experience in a high-growth SaaS company with enterprise customers (nice to have)
Must be authorized to work from the home location
No visa sponsorship provided

Benefits

Comp & perks

100% remote work
Ability to work from almost any country, subject to regulatory and security restrictions
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 day one
Product, go-to-market, and executive support
No visa sponsorship; teammates need authorization to work from their home location