About the Role
At NiCE, AI Product Strategists lead from the front. This means maintaining direct engagement with customers and partners, deeply understanding real-world business challenges, and translating those needs into innovative solutions. NiCE is an AI-first technology company, and AI Product Strategists are expected to actively embrace modern AI tools in their daily work — using them to accelerate discovery, prototype new ideas, and rapidly validate solutions with real users. The AI Product Strategist plays a critical role in shaping the NiCE product and solution portfolio by developing market and product requirements based on customer insights, competitive intelligence, technical considerations, and evolving market trends. This role defines rollout strategies for bringing products to market, develops product positioning, packaging, and pricing strategies, and champions the product launch process across NiCE and with potential customers. As part of NiCE’s AI-first culture, AI Product Strategists leverage modern AI development tools to rapidly test ideas and validate product concepts. This includes the ability to create early working prototypes using AI-assisted development tools (sometimes referred to as “vibe coding”) that allow teams and customers to interact with real functionality during early design stages.
A Typical Day Might Include the Following
- Work directly with partners, customers, and NiCE sales teams to understand business needs related to interaction analytics within the contact center.
- Maintain direct client engagement to validate product direction and ensure customer needs are reflected in product strategy.
- Develop and maintain Product Requirements Backlogs detailing business and technical requirements for upcoming releases.
- Assist in developing functional and technical designs for features and capabilities defined in the product requirements.
- Rapidly prototype new product ideas using AI-assisted development tools to validate concepts with internal teams and customers.
- Leverage modern AI development platforms (such as Claude Code, Manus AI, Lovable, and other emerging tools) to accelerate ideation, prototyping, and experimentation.
- Manage relationships across functional groups and influence cross-functional teams without direct hierarchical ownership.
- Prioritize and manage defects, improvements, and feature enhancements.
- Design, storyboard, and develop compelling product demonstration scenarios within the application.
- Participate in customer-facing sales meetings, events, and user conferences as a product and AI solutions expert.
- Perform competitive analysis and serve as a key internal resource for knowledge of competing products and capabilities.
- Communicate the value of GenAI and Copilot solutions to a wide range of audiences, including internal teams (sales, services, and support), customers, prospects, and partners.
- Communicate effectively and professionally with customers both inside and outside of the NiCE CXone ecosystem.
To Land This Gig You'll Need
- Bachelor’s Degree in Computer Science, Business Information Systems, Marketing, or a related field (or equivalent work experience). Master’s Degree preferred.
- 5+ years of experience in software product management, professional services, or a similar strategic role.
- Excellent written and verbal communication skills.
- Demonstrated experience advocating for customer needs and translating them into product direction.
- Strong cross-functional leadership and project management skills.
- Proven ability to take initiative and work independently in a fast-moving environment.
- Ability to thrive in dynamic and evolving business environments.
- Comfort communicating across all levels of the organization.
- Ability to partner with sales executives and support opportunities as a subject matter expert, particularly for emerging offerings.
- Contact center industry experience preferred.
- User experience or graphic design experience is a plus, but not required.
- Knowledge of telephony infrastructure is a plus, but not required.
- Experience with contact center solutions including agent interactions, automation, virtual agents, and GenAI / LLM technologies.
- Ability to manage multiple initiatives and balance competing priorities.
- Experience with software development, networking, hosted applications, telecommunications, or similar technical product environments.
- Experience working with SaaS-based product platforms.
Additional Preferred Qualifications
- Demonstrated experience working directly with enterprise customers to gather requirements and translate them into product direction.
- Comfort leveraging AI tools to accelerate product discovery, prototyping, and experimentation.
- Experience building early functional prototypes using AI-assisted development tools such as Claude Code, Manus AI, Lovable, or similar platforms.
- Curiosity and willingness to continuously experiment with emerging AI technologies to improve product development velocity and innovation.