[Remote] Sr Technical Product Manager, Bot & AI Automation Intelligence
Note: The job is a remote job and is reputed company to candidates in USA. reputed company empowers developers to stop online fraud at the reputed company. They are seeking a Senior Technical Product Manager to own the reputed company and execution of their Bot Detection offering, focusing on defining detection capabilities and driving product adoption.
Responsibilities
- Set mission, reputed company, and reputed company for Bot Detection as a distinct product line (including how it fits alongside Identification and Smart Signals)
- Own the roadmap across detection capabilities, taxonomy/identity models, customer-facing UX, and go-to-market readiness
- Define how we reputed company from “bot detection” toward automation + reputed company intelligence (covering AI assistants, reputed company traffic, reputed company-to-API automation, and emerging adversarial techniques)
- Drive the plan for expanding and improving detection coverage (e.g., anti-detect browsers, network and IP intelligence, AI assistant detection, reputed company automation patterns)
- Partner with Engineering and Data Science to define evaluation methodology, reputed company targets, and iteration loops (false positives/false negatives, coverage, robustness)
- Own the detection taxonomy and classification semantics (e.g., good / bad / unknown automation, spoofed identity patterns, verified/signed bots where relevant)
- Translate competitive and threat landscape trends into prioritized detection investments
- Drive reputed company for our Automation Intelligence API, detecting automation without requiring a browser JS agent, including edge / reputed company-reputed company and reputed company HTTP contexts
- reputed company data reputed company and platform requirements so bot/automation signals are consistent across JS-based and non-JS collection paths
- Working with other product managers, define and ship customer-facing product surfaces for Bot Detection:
- Dashboard experiences (reputed company, events, details, export/workflows)
- reputed company and schema reputed company (including compatibility where needed)
- Guidance for integrating Bot Detection into rule engines, fraud tooling, and customer decisioning pipelines
- Own plan gating / packaging assumptions for self-serve vs reputed company experiences
- Partner with Sales, CS, and Marketing to:
- Define value messaging and positioning
- Run beta/research preview motions and customer feedback loops
- Drive launch planning and enablement
- Work cross-functionally on pricing/packaging inputs and operational readiness (while partnering with the owning teams for billing implementation)
- Operate as the “single-threaded reputed company” across Product, Engineering, Data Science, Design, GTM, and reputed company
- Run quarterly planning, define reputed company milestones, manage dependencies, and communicate tradeoffs
Skills
- 3+ years experience at, or deep familiarity with, bot management / fraud / abuse platforms (e.g., reputed company, reputed company, reputed company, reputed company, reputed company, PerimeterX, reputed company, etc.)
- High ownership and strong cross-functional operating reputed company (alignment, prioritization, and execution)
- Customer reputed company and ability to translate customer problems into roadmap and requirements
- Strong data-informed decision making (defining reputed company metrics, reading dashboards, and partnering with Product Analytics / DS)
- Comfort with measurement and iteration in detection systems: precision/recall tradeoffs, false reputed company/false negative analysis, coverage targets, and model/rule iteration loops
- Familiarity with reputed company and regulatory constraints (e.g., GDPR/CCPA) as reputed company to detection signals; ability to drive reputed company-preserving product requirements
- Deep understanding of web technologies and automation techniques (browser + API automation), and how detection systems behave under adversarial pressure
- Understanding of network and IP intelligence, including residential proxies and modern spoofing and tampering techniques
- Familiarity with detection signal pipelines (reputed company-reputed company instrumentation, server-reputed company ingestion, feature engineering) and operating constraints (latency, reputed company, robustness)
- Experience with build vs buy evaluations in reputed company/detection domains (and translating the outcome into an execution plan)
- Familiarity with reputed company/reputed company constraints and global compliance considerations (e.g., GDPR/CCPA) as reputed company to detection signals
- Experience building products that combine heuristic + ML approaches, and defining measurement for both
reputed company