
Senior Director, Product Management β Identity Digital Intelligence
Posted Sep 17

Posted Sep 17
This is a fully remote position, open to applicants in Texas.
β’ Establish the global vision, strategy, and roadmap for Digital Intelligence encompassing web, mobile, and API products.
β’ Define the collection, scoring, and delivery processes for device, behavioral, agent, and network-risk signals.
β’ Oversee the SDK, tag, mobile collection, and API roadmap, which includes versioning, migration, and deprecation practices.
β’ Direct the detection strategy for bot abuse, account takeovers, synthetic identities, and new-account fraud.
β’ Enhance agent intelligence by distinguishing between legitimate automated agents, genuine users, and harmful automation.
β’ Lead a multi-region product management team and coordinate with global partners on roadmap priorities, governance, and product standards.
β’ Collaborate with Engineering, Data Science, Design, Privacy, Legal, and go-to-market teams.
β’ Balance considerations of coverage, accuracy, latency, consent, and regulatory compliance across various markets.
β’ Take responsibility for portfolio adoption, retention, attributable revenue, pricing, and packaging.
β’ Utilize AI-assisted discovery, prototyping, and evaluation techniques to enhance product decisions and delivery.
β’ Report directly to the Senior Vice President of Product Management.
β’ Over 10 years of experience in product management.
β’ Demonstrated experience in leading product teams or product leaders.
β’ Proven track record in overseeing or developing a device intelligence, device-fingerprinting, or SDK-based signal product at scale.
β’ Experience in building device and network-risk capabilities, including device reputation or fingerprinting and risk signals related to IP, proxy, VPN, TOR, connection, or ASN.
β’ Practical product experience with behavioral and device signals, such as spoofing, emulator, virtual-machine, or headless-browser detection, and ensuring signal stability over time.
β’ Background in fraud prevention, focusing on bot abuse, account takeover, synthetic identity, or new-account fraud.
β’ Experience in defining or assessing AI-powered product capabilities, including agent or tool-use workflows, evaluation frameworks, guardrails, and human oversight.
β’ Experience collaborating with globally distributed product, engineering, data science, legal/privacy, and go-to-market teams.
β’ Proven ability to manage commercial outcomes such as adoption, retention, revenue, pricing, or packaging.
β’ Competitive compensation package along with a bonus plan.
β’ Comprehensive medical, dental, and vision benefits.
β’ 401K matching.
β’ Flexible work environment with options for remote, hybrid, or in-office work.
β’ Flexible time off policy including volunteer time, vacation, sick leave, and 12 paid holidays.
β’ An inclusive and purpose-driven organizational culture.
β’ Support for disability accommodations.
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