Sr Technical Product Manager, Bot & AI Automation Intelligence

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.

This listing is from ats_lever. View original listing ↗