Engineering Manager, Automation Intelligence

🕒 Outubro 16

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $159.000 - $215.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 4%

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Fingerprint

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2019

🔒 Cibersegurança

🔌 API

☁️ SaaS

💰 $32.000.000 Series B em 2021-11

Cybersecurity • API • SaaS

Fingerprint é uma empresa de tecnologia focada em soluções de detecção e identificação de bots. A plataforma ajuda empresas a garantir um ambiente online seguro ao identificar usuários com precisão e diferenciar entre pessoas reais e bots automatizados. Ela fornece guias para desenvolvedores e configurações de workspace para integração fácil em diversas aplicações, aumentando a segurança e a experiência do usuário.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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