AI Product Manager

Summary

Join NiCE as a Senior Product Manager and lead the development and execution of AI and analytics Anti-Fraud products. Collaborate with cross-functional teams to define product requirements, drive product development, and ensure successful market delivery. Leverage expertise in machine learning, data analytics, and product management to drive innovation and deliver value to customers. Lead product strategy and roadmap development, conduct market research, and define product priorities. Drive product planning and execution, manage the product lifecycle, and apply deep knowledge of machine learning techniques. Engage with customers, present product solutions, and travel as needed. Build strong stakeholder relationships and track product performance for optimization. This role requires a Bachelor’s or advanced degree and 7+ years of relevant experience.

Requirements

• Bachelor’s or advanced degree in computer science, engineering, data science, or related field
• Proven track record of 7+ years in product management, with a focus on SaaS \ machine learning, or analytics products
• Proven experience working directly with customers, understanding their needs, and presenting product solutions to address those needs
• Experience working with cross-functional teams in an agile development environment
• Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders
• Analytical mindset with proficiency in data analysis and problem-solving
• Demonstrated leadership abilities with a passion for driving innovation and delivering impactful products

Responsibilities

• Lead the development of the AI and analytics Fraud products and roadmap, aligning with the company's overall vision and objectives
• Conduct market research and competitive analysis to identify market trends, customer needs, and opportunities for differentiation
• Define product priorities and initiatives based on customer feedback, business goals, and technical feasibility
• Collaborate with cross-functional teams including engineering, data science, design, and marketing to define product requirements and specifications
• Drive the product development process from concept to launch, ensuring timely delivery and adherence to quality standards
• Manage the product lifecycle, including feature prioritization, release planning, and post-launch performance monitoring
• Apply deep knowledge of machine learning techniques to enhance product capabilities and drive innovation
• Leverage data analytics and visualization tools to derive insights from large datasets and inform product decisions
• Stay abreast of advancements in AI technology, industry trends, and best practices to continually improve product offerings
• Work directly with customers, including banks and financial institutions, to understand their challenges and gather actionable feedback
• Present product concepts and solutions to customers, aligning product functionality with their needs
• Travel as needed to meet with customers, participate in industry events, and ensure products address real-world fraud scenarios
• Build strong relationships with internal stakeholders, including executives, sales, professional services, and customer success teams, to ensure alignment and support for product initiatives
• Collaborate with industry experts and partners to validate product concepts and strengthen market positioning
• Define key performance indicators (KPIs) and metrics to measure the success of AI and analytics products
• Analyze product performance data, customer feedback, and market trends to identify opportunities for optimization and growth
• Iterate on product features and functionalities based on insights gained from data analysis and feedback loops

Preferred Qualifications

Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies

Benefits

2 days working from the office and 3 days of remote work, each week