Sr Technical Product Manager, Bot & AI Automation Intelligence

Overview

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.

Requirements

• 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.

Benefits

• Competitive compensation aligned with experience, location, and market benchmarks.
• Remote-friendly work environment with global collaboration across time zones.
• Opportunity to work on cutting-edge AI-driven fraud and automation intelligence systems.
• High ownership role with significant strategic and technical impact.
• Collaboration with top-tier engineering, data science, and product teams.
• Inclusive and diverse workplace culture focused on innovation and continuous learning.
• Exposure to large-scale, real-world security and fraud challenges across global platforms.
• Flexible working model supporting autonomy and distributed team productivity.

How Jobgether Works

Data Privacy Notice