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NiCE

AI Solution Strategist

Department
Engineering
Job Type / Location
remote
Experience Required
3+ years
Posted On

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.

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