Principal Product Manager

Summary

Join our innovative AI Research team as a Senior Product Manager to drive our AI-powered fraud detection/prevention platform. Translate cutting-edge research in agentic AI and multimodal analysis into impactful products. Partner with PhD-level AI engineers to build agentic AI systems protecting millions of users and enhancing team efficiency. Ship impactful products quickly, focusing on AI innovation and user needs. This role involves managing product roadmaps, backlogs, and sprint planning, while also researching emerging AI technologies and analyzing market trends. You will collaborate with technical teams, define success metrics, and ensure AI products meet quality standards.

Requirements

• 2-5 years of product management with 2+ years in AI/ML products
• Proven track record shipping AI features from concept to production with well known LLMs/ML Models
• Experience with B2B SaaS products and understanding of enterprise workflows
• Success working with technical teams (data scientists, ML engineers)
• Strong understanding of AI/ML concepts: LLMs, embeddings, RAG systems
• Familiarity with agentic AI frameworks and multi-agent orchestration
• Ability to evaluate AI model performance and make data-driven decisions
• Experience with APIs, integrations, and workflow automation tools
• Excellence in writing PRDs, user stories, and technical specifications
• Strong analytical skills with experience in A/B testing and metrics analysis
• Proficiency with product management tools (Jira, Confluence, analytics platforms)
• Agile/Scrum experience with distributed teams

Responsibilities

• Own product roadmaps for AI-powered tools
• Manage product backlogs, prioritizing features that balance AI innovation with user needs
• Define requirements for agentic AI systems that automate complex workflows
• Lead sprint planning and coordinate releases with engineering and AI research teams
• Identify opportunities where agentic AI can transform internal processes
• Research emerging AI technologies (RAG systems, multi-agent frameworks) for product integration
• Analyze market trends to position our AI capabilities against competitors
• Partner with internal teams to identify automation opportunities and measure efficiency gains
• Collaborate with AI engineers on agentic system architectures
• Define success metrics for both model performance and business impact
• Ensure AI products meet accuracy, latency, and scalability requirements
• Manage the iterative improvement of AI models based on real-world performance

Preferred Qualifications

• MSc or Phd Preferred
• Experience in cybersecurity, ad tech, or fraud detection domains
• Background building internal tools or automation platforms
• Understanding of multimodal AI (text, image, video analysis)
• Technical degree or certifications in AI/ML
• Experience with low-code AI platforms (Vertex AI, Azure AI)

Benefits

• Extremely competitive salary
• Outstanding benefits
• Monthly internet reimbursement
• Casual, remote work environment
• Hybrid, flexible hours
• Opportunity for advancement
• Fun annual team events
• Being part of a high performing team that wants to win and have fun doing it
• Extremely competitive compensation