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# Technical Product Manager, Bot & AI Automation Intelligence

- **Company:** Flight Centre Travel Group
- **Location:** Barcelona, Spain
- **Contract:** Internship / Graduate position
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Client Server Models, Fraud Prevention and Detection, Intrusion Detection and Prevention, Performance Tuning, Data Management, Web Technologies
- **Published:** September 24, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

We are looking for an experienced technical product leader with strong expertise in fraud detection, bot management, or security-focused platforms. Ideal candidates will bring a mix of product thinking, technical depth, and cross-functional leadership experience:
3+ years of experience in bot management, fraud prevention, abuse detection, or related security/data platforms.
Proven ability to define product strategy, manage roadmaps, and deliver complex technical products in fast-paced environments.
Strong understanding of web technologies, automation techniques, APIs, and adversarial detection systems.
Experience working with data science and engineering teams on ML/heuristic-based detection systems, including measurement frameworks and performance optimization.
Deep familiarity with detection metrics such as false positives, false negatives, precision/recall tradeoffs, and system evaluation methods.
Strong analytical mindset with ability to define success metrics and interpret data-driven insights.
Knowledge of privacy regulations such as GDPR and CCPA as they apply to data signals and detection systems.
Excellent communication skills, with the ability to translate technical complexity into clear product direction and customer value.
Bonus: experience with network/IP intelligence, proxy detection, client-server signal pipelines, and build-vs-buy decisions in security domains.

## Description

This is a high-impact senior product leadership role focused on shaping the future of bot detection and automation intelligence in an increasingly AI-driven digital ecosystem. You will define the strategy and roadmap for next-generation fraud and automation detection systems, expanding beyond traditional bot management into AI agents, automated traffic, and adversarial behavior detection. Working in a globally distributed, remote-first environment, you will collaborate closely with engineering, data science, and go-to-market teams to build scalable, developer-centric products. The role combines deep technical understanding with strong product vision, requiring you to translate evolving threat landscapes into actionable detection capabilities. You will also own customer-facing experiences, including APIs and dashboards, ensuring usability and adoption across diverse clients. This position plays a critical role in strengthening trust, security, and intelligence across digital
interactions worldwide.
Accountabilities:
In this role, you will take ownership of the end-to-end product strategy and execution for bot detection and automation intelligence, ensuring strong alignment across technical, product, and commercial functions. Your responsibilities will include:
Defining the vision, strategy, and roadmap for bot detection as a core product line, including its evolution into broader automation and intent intelligence.
Driving development of advanced detection capabilities, including AI assistants, bot patterns, spoofing techniques, and adversarial automation behaviors.
Partnering with engineering and data science teams to design evaluation frameworks, improve detection accuracy, and continuously optimize precision and recall.
Leading the design of taxonomy and classification models that define automation types, identity patterns, and trust signals.
Owning the strategy for non-JavaScript and server-side detection via APIs and edge-based intelligence systems.
Shaping customer-facing experiences, including dashboards, APIs, schemas, and developer workflows for fraud and automation decisioning.
Supporting commercialization efforts by collaborating with GTM teams on positioning, packaging, customer feedback loops, and product adoption strategies.
Driving cross-functional execution as the single-threaded owner, ensuring alignment across engineering, design, analytics, and GTM stakeholders.