Jobs at Quantanite

Provide day-to-day IT support (hardware, software, networking) for operations; maintain IT assets and records; configure user accounts, OS and security (antivirus, firewall, Active Directory); manage LAN/WAN and ISP liaison; resolve tickets per SLA; and complete technical clearance for exiting employees. May work night shifts.

Conduct end-to-end, high-volume recruitment, including sourcing, screening, interviewing, candidate assessments, interview coordination, pipeline management, vacancy advertising, and offer support. Maintain accurate recruitment records, provide hiring updates, conduct checks, and engage candidates through onboarding while meeting tight hiring targets and timelines. Collaborate with Recruitment, HR, Operations, and hiring managers to fill vacancies with quality candidates and ensure consistent recruitment processes.

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.

The role involves reviewing work trackers, retrieving documentation, renaming and uploading files, and updating internal systems. Candidates must adapt to changing work hours, primarily during the night shift.

The Tech Project Manager will define and execute the vision for generative AI products, manage cross-functional teams, and oversee project lifecycles to enhance competitiveness and user experience.

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 Associate - Operations role involves data entry, online research, and report generation while supporting client instructions in a team 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.

Provide one-to-one executive support to the COO, manage calendar and communications, coordinate and track projects, prepare briefings and reports, liaise with senior stakeholders, maintain confidential information, and improve processes to ensure timely execution of priorities.

Design and develop AI-based platforms for extracting and managing data from various sources, implementing data pipelines, and collaborating with stakeholders.

The HR Business Partner supports operational HR functions, employee relations, talent management, and compliance in a BPO environment.

Lead WFM team to design staffing forecasts, capacity plans, schedules, and space allocation to meet SLAs across global time zones. Analyze workforce metrics (adherence, occupancy, shrinkage, absenteeism, overtime) to build predictive staffing plans, manage escalations and exceptions, maintain SOPs, and report workforce status to senior leadership. Collaborate with HR, Operations, Finance, and Analytics to align hiring and capacity with demand while implementing WFM tools to automate processes.

Run structured outbound campaigns and own the full pre-sales cycle to create and qualify enterprise AI/SaaS opportunities. Engage senior stakeholders, articulate Quantanites AI-enabled value proposition, and progress deals toward high-value closes. Target $200k+ opportunities and transition into a full Account Executive within six months.

Perform disciplined outbound prospecting and run the full pre-sales cycle to create and qualify enterprise AI-driven opportunities. Engage senior stakeholders, articulate Quantanite's AI and operations value proposition, and progress deals toward $200K+ closes while learning to assume a full Account Executive role within six months.

Perform disciplined outbound prospecting and run the full pre-sales cycle from cold outreach to qualification and initial deep dives. Create and advance commercially meaningful AI/SaaS opportunities, engage senior stakeholders and economic buyers, articulate Quantanite's AI-enabled value proposition, and help convert high-value deals while maturing into a full Account Executive within six months.

The role involves validating user information, participating in client calls, and completing tasks accurately with high attention to detail and time management.