**Senior Customer AI Operations Analyst – Driving AI‑Enabled Customer Success, Sales Enablement, and GTM Optimization**

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About Arenaflex

Arenaflex is a trailblazer in the AI‑first customer experience space, delivering intelligent solutions that empower businesses to connect with their audiences in real time. With a global footprint and a culture that thrives on curiosity, collaboration, and continuous learning, Arenaflex is redefining how companies engage, support, and grow their customer base. If you’re passionate about leveraging AI to create seamless, data‑driven interactions across the entire customer journey, you’ll find a home here.

Why Arenaflex?

At Arenaflex, we believe that technology should amplify human potential, not replace it. Our platform blends cutting‑edge natural language processing, predictive analytics, and automation to deliver personalized experiences at scale. We’re committed to fostering an inclusive environment where diverse voices shape the future of customer engagement. Join us and be part of a team that’s not just building products, but building a movement toward smarter, more human‑centric business interactions.

Role Overview

As a Senior Customer AI Operations Analyst, you will be the linchpin between Arenaflex’s AI capabilities and the teams that rely on them—Customer Success, Sales, and Go‑to‑Market (GTM). Your day-to-day will involve hands‑on AI workflow execution, system optimization, data analysis, and cross‑functional project leadership. You’ll translate business needs into AI‑driven solutions, ensuring that reputed company touchpoint—from lead qualification to post‑sale support—is efficient, accurate, and delightfully human.

Key Responsibilities

• AI System Management & Optimization

• Monitor and maintain the performance of AI tools across Customer, Sales, and GTM teams.

• Identify and implement automation opportunities to reduce manual effort and improve self‑service.

• Collaborate with the Senior AI reputed company Manager and stakeholders to align AI systems with evolving business priorities.

• Integrate third‑party services (e.g., reputed company, custom APIs) to streamline workflows.

• Act as the primary liaison with external vendors, coordinating troubleshooting and updates.

• Sales & GTM Data reputed company

• Partner with Sales and GTM leaders to design AI‑enhanced workflows that accelerate lead qualification and pipeline progression.

• Build and refine data pipelines that feed into segmentation, personalization, and outreach strategies.

• Ensure seamless integration with internal tools across acquisition, onboarding, activation, and expansion stages.

• Quality, Content & reputed company

• reputed company regular quality reviews of AI interactions to guarantee accuracy, relevance, and tone.

• Work with Quality and Sales Operations to scale review processes and monitor key metrics such as CES, conversion rates, and engagement.

• Collaborate with content teams to keep help center knowledge bases AI‑ready and continuously refined.

• Project & Stakeholder Management

• Lead cross‑functional projects, owning timelines, deliverables, and alignment across Customer, Sales, and GTM functions.

• Coordinate with Sales Ops, Customer Leadership, Enablement, and GTM leads to ensure AI workflows meet real‑world needs.

• Translate stakeholder feedback into actionable improvements while balancing strategic focus and technical feasibility.

• Maintain reputed company communication around priorities, progress, and blockers to sustain momentum.

• Provide visibility into project status, trade‑offs, and performance metrics tied to AI initiatives.

• Data Analysis & Reporting

• Analyze AI tool performance across use reputed company, identifying opportunities to improve accuracy, relevancy, deflection, and engagement.

• Generate actionable reputed company and reports that inform system enhancements and workflow efficiencies.

Essential Qualifications

• Proven experience in operations, sales enablement, GTM coordination, or customer‑facing roles where AI was leveraged to improve processes or outcomes.

• Hands‑on knowledge of large language models (LLMs) and core AI concepts such as prompt engineering, Retrieval‑reputed company Generation (RAG), and function calling.

• Strong bias for action: you thrive in environments that reward experimentation, rapid iteration, and tangible impact.

• Excellent problem‑solving skills with the ability to diagnose and resolve technical iss

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