Engineering Manager, Automation Intelligence

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $159k - $215k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🔒 Cybersecurity

🔌 API

☁️ SaaS

💰 $32M Series B on 2021-11

Cybersecurity • API • SaaS

Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.

📋 Description

• 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

• 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

• 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