remote
AI Solution Strategist
AI Solution Strategist
The AI Solution Strategist will work at the intersection of AI product strategy, sales, and customer success, defining, developing, and launching conversational AI agents. This role involves converting business requirements into high-performing AI agents, leading complex projects, and bridging communication between technical teams and business stakeholders throughout the development lifecycle.
About the role
About the Role
You'll operate at the crossroads of AI product strategy, (pre) sales and customer success. Work hand-in-hand with Product Managers and Engineers, and go-to-market (GTM) teams, to define, develop, and launch conversational AI agents that power large volumes of live customer interactions. The role blends strategic thinking with hands-on agent design, requiring fluency in both business context and technical execution.
Responsibilities
- Serve as a strategic partner to customers, supporting the evolution, execution, and adoption of concrete AI initiatives.
- Convert business requirements into well-designed, high-performing AI agents.
- Lead delivery across multiple concurrent complex agentic projects that receive maximum visibility both from customer side as well as from the NiCE perspective.
- Bridge the gap between technical teams and business stakeholders throughout the entire development lifecycle.
- Shape agent behavior through conversational design, product intuition, and performance data.
- Surface data-driven action items and iterations that sharpen both customer outcomes and internal decision-making.
Requirements
- Bachelor's degree in Computer Science, Information Systems or a related discipline (or demonstrated equivalent experience).
- An MBA or similar experience combining technology and business operations is a notable advantage.
- Proven ability to juggle multiple high-stakes projects at once.
- History of rallying cross-functional teams toward delivery in demanding environments.
- Solid grasp of software development fundamentals, product management, and engineering workflows.
- You won't be writing code daily, but you need enough technical depth to hold your own alongside engineers and PMs.
- Capable of bridging the gap between ambitious product vision and working AI agents.
- Experience with conversational design principles and customer experience strategy.
- Practical understanding of what's involved in deploying AI that reliably serves real customers at volume.
- Skilled at using performance data to spot issues, mitigate risks, and iterate toward better outcomes.
- Sharp written and verbal communicator.
- Can distill complex technical detail into clear, actionable language for non-technical audiences.
- Strong critical thinking and comfort with ambiguity, able to make sound calls with incomplete information.
- Effective at aligning diverse stakeholders and maintaining momentum across workstreams.