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Leads a customer service team in a BPO contact center, driving KPI performance, coaching employees, managing escalations, improving quality, and ensuring service-level compliance. The role oversees attendance, adherence, reporting, onboarding support, performance improvement plans, and collaboration with Operations, HR, QA, Training, and Workforce Management teams.

Provides advanced technical support for EV charging software and electrical infrastructure. Troubleshoots escalated customer and field issues, analyzes logs and diagnostics, identifies root causes, coordinates with engineering teams, and drives permanent fixes. Develops Python and Shell automation scripts, improves support processes, tracks issue trends, generates performance reports, and communicates resolution updates to customers and site hosts.

Manage daily contact centre operations, leading Team Leaders and multiple teams to achieve service levels, quality standards, KPIs, and client objectives. Oversee workforce planning, performance reporting, escalations, process improvement, training, technology usage, compliance, and stakeholder engagement. Drive continuous improvement, customer satisfaction, operational efficiency, and leadership development across the centre.

Reviews Arabic product listings, text, and images for accuracy and compliance with platform policies. Identifies intellectual property violations and prohibited or distressing content, then approves, rejects, removes, restricts, or escalates items as appropriate. Documents decisions, maintains confidentiality, meets quality and productivity standards, and adapts to changing policies and rotating onsite shifts, including nights, weekends, Fridays, and public holidays.

Design and deliver client solutions using agentic AI, multi-agent orchestration, RAG pipelines, LLMs, and knowledge graphs. Lead discovery, requirements gathering, BRD and HLD creation, architectural trade-off decisions, client presentations, and coordination across engineering, product, and PMO through implementation. Develop deep expertise in the QiQ contact-center analytics platform and progressively represent Solutions independently in client engagements.

Execute outbound B2B sales campaigns for AI-driven operational transformation solutions. Run cold calls, qualification, product deep dives, and early-stage opportunity development while engaging senior stakeholders and economic buyers. Identify genuine business pain, connect solutions to measurable outcomes, and build high-quality enterprise pipeline. The role is intended to develop into a full Account Executive position within six months, focusing on closing $200K+ opportunities.

Execute outbound B2B sales campaigns, conduct cold calls and qualification, uncover customer pain, lead initial product deep dives, create qualified opportunities, and engage senior stakeholders and economic buyers. The role carries pipeline responsibility and is expected to develop into a full Account Executive position within six months, selling AI-driven transformation, automation, CX, and operational solutions to enterprise clients.

As an Operations Associate, you'll perform data entry, back-office activities, online research, and collaborate with team leaders to meet targets in a dynamic environment.

The AI Engineer will design and develop cognitive data solutions using AI technology, manage data pipelines, and lead cross-functional teams to deliver scalable solutions.

Lead end-to-end AI engineering for products and client engagements: define architecture, select stacks/LLMs, build prototypes and POCs, set AI engineering standards, ensure scalable secure deployments, mentor developers, and drive integration and documentation across cloud-native, RAG, and vector-based solutions.