Description
In this role, you will define the future of abuse prevention by leveraging AI+Data+CRM. You will move beyond simple detection to build reusable platform services that allow product teams to innovate securely. You will partner relentlessly with Data Scientists, Engineers, Security Specialists, and compliance officers to deploy machine learning models and automation that stop threat actors in their tracks while ensuring a seamless experience for legitimate users
Key Responsibilities:
Define the Vision: Develop and execute a comprehensive multi-year roadmap for fraud detection, prevention, and case management tools. Prioritize features based on risk reduction, business value, and customer trust.
Platform Leadership: Design reusable platform services and "greenfield" abuse frameworks that allow feature teams to integrate safety measures easily, ensuring our platform is secure by default.
Ecosystem Integration: Evaluate and integrate third-party fraud tools while balancing the build-vs-buy decision to stay ahead of emerging fraud trends.
AI & ML Innovation: Partner with Data Scientists to bring new Machine Learning models (such as anomaly detection and user behavior modeling) to life, automating the prevention of fraud in real-time and asynchronous use cases.
Minimize Friction: Measure ruthlessly to minimize false positives. Ensure that abuse mitigation efforts block malicious actors without impacting the experience of legitimate customers.
Lifecycle Management: Integrate solutions into existing UX and product workflows throughout the entirety of the customer journey—from signup to account closure.
Stakeholder Alignment: Act as a trusted advisor to Security, Compliance, and Trust & Safety partners. Translate complex security risks into clear requirements for engineering teams and clear value propositions for executive leadership.
Incident Response: Collaborate with security operations on incident response to identify new abuse vectors (e.g., phishing, smishing) and rapidly close loops in product defense
Abuse Program Creation: Partner with the Platform Security Advisor (PSA) team to implement a Platform Abuse Threat Modeling Program.
Reputation Management: Partner with Marketing and Security to further build the external perception of Salesforce’s spam and phishing defenses.
Required Qualifications:
Product Experience: 10+ years of Product Management experience in enterprise-scale SaaS, with direct experience in cybersecurity, identity management, or fraud/abuse prevention.
Technical Acumen: Ability to dive into and learn nuances of messaging protocols like SMTP, SMPP, DKIM, DMARC, etc.
Data-Driven: Experience using telemetry and metrics to drive operational excellence, with a strong ability to distinguish between signal and noise in abuse detection.
Communication: Ability to simplify complex security concepts for non-technical audiences and present effectively to executive leadership.
Product Craft: Expert level experience with the full product development lifecycle for a variety of products and features including ideation, business case generation, requirements gathering, iterative build and release, go to market activities and optimization for adoption and growth.
Team Player: A team player who can collaborate and build trust with engineers, designers, data science and other cross-functional teammates.
Preferred Qualifications:
ML Knowledge: Experience with transformer-based models, text embeddings, or User Behavior Modeling for anomaly detection.
API Design: Proven experience working with engineers to build net-new APIs, including necessary guardrails to prevent abuse.
Channel Expertise: Specific experience securing multiple messaging channels (Email, SMS, Push, WhatsApp). Experiences and understanding of messaging protocols and standards, including SMTP, IMAP/POP3, DKIM, DMARC, TLS, and SMPP.