Senior Product Manager – Intelligence

About Intelligence Intelligence is a flagship product within Telesign’s Protect portfolio. It uses AI, data science, and real-time risk signals to help businesses detect and prevent fraud, protect their end users, reduce unnecessary friction for legitimate users, and improve the overall customer experience. As fraud threats continue to evolve globally, and as AI capabilities reshape both fraud tactics and fraud prevention, Intelligence plays a strategic role in Telesign’s growth.

The product helps businesses make smarter, faster, and more accurate trust decisions across the customer journey — from onboarding and account creation to login, transactions, and ongoing user protection. Summary We are looking for a Senior Product Manager to lead and grow Telesign’s Intelligence product. This is a full-stack product management role requiring both strong technical understanding and strong business, market, and go-to-market orientation.

The Senior Product Manager will work closely with Engineering, Data Science, Data Strategy, Sales, Customer Success, Marketing, GTM, Legal Privacy, Program Management, and Leadership teams to define the product vision, shape the roadmap, support commercial growth, and drive execution. This person will translate customer needs, fraud trends, market opportunities, competitive insights, and data-driven learnings into product strategy and measurable outcomes.

The role requires someone who can operate across technical product development, customer discovery, market research, experimentation, sales enablement, commercial planning, and GTM execution. The Senior Product Manager will be responsible for driving the continued development and differentiation of Intelligence as a strategic product within Telesign’s Digital Identity portfolio, helping strengthen Telesign’s global fraud protection solutions and support revenue growth.

Responsibilities

• Product Strategy and Vision: Contribute to the product vision and strategy for Intelligence within Telesign’s Digital Identity and Protect portfolio. Translate business priorities, customer needs, fraud trends, and competitive dynamics into a focused product direction.
• Market and Competitive Research: Continuously research fraud trends, customer needs, competitor offerings, market dynamics, and emerging AI-enabled fraud patterns. Use these insights to identify opportunities, shape product priorities, and inform investment decisions.
• Commercial and GTM Strategy: Work closely with Sales, Customer Success, Marketing, GTM, and regional teams to define product positioning, packaging, pricing inputs, commercial models, and customer-facing narratives. Support sales enablement and help translate product capabilities into clear business value.
• Roadmap Planning and Execution: Own and manage the Intelligence product roadmap, prioritizing capabilities and enhancements based on strategic goals, customer feedback, revenue opportunities, technical feasibility, market research, and product performance.
• Experimentation and Hypothesis Testing: Partner with Engineering, Data Science, and other cross-functional teams to design pilots, experiments, and proof-of-concept initiatives. Use experimentation to validate customer needs, test product hypotheses, generate learnings, and guide future product development and investment focus.
• Product Development Oversight: Maintain the product backlog and act as Product Owner for Intelligence engineering teams. Define clear requirements, prioritize work, support agile delivery, and ensure product increments are aligned with customer needs, business objectives, and the roadmap.
• Cross-Functional Collaboration: Collaborate with Engineering, Data Science, Data Strategy, Program Management, Legal Privacy, Sales, Customer Success, Marketing, GTM, and Leadership teams to drive Intelligence development from concept to launch.
• Stakeholder Management: Communicate product updates, roadmap priorities, milestones, risks, insights, and business impact to internal stakeholders, including senior leadership. Build alignment and support for product initiatives across technical, commercial, and strategic teams.
• Performance Monitoring and Optimization: Define and monitor key product success metrics. Analyze usage data, customer feedback, feature performance, commercial performance, and market feedback to identify optimization opportunities and drive continuous product improvement.