The role involves managing strategic accounts to drive retention and growth while serving as the primary subject-matter expert for workforce management solutions. You will lead client engagements, oversee project delivery, and ensure operational excellence across various WFM platforms.
The Director of AI Transformation will lead the end-to-end operations of the LaunchAI program, driving enterprise AI adoption and the deployment of AI agents. This role involves translating business needs into measurable AI solutions, managing the AI development backlog, and ensuring governance and security standards are upheld.
The Senior Program Manager acts as the primary customer focal point for coordinating system implementations, including project planning, business analysis, and design. They are responsible for managing delivery relationships, leading large-scale programs, and ensuring client stakeholder alignment and satisfaction.
The Senior Consultant will design and deploy advanced machine learning models, generative AI solutions, and autonomous agentic workflows to solve complex client business challenges. They will also lead client workshops, synthesize complex data into actionable insights, and provide technical leadership to junior team members.
You will own the full sales cycle for enterprise accounts, focusing on prospecting, executive engagement, and closing transformational deals. You will collaborate with internal teams and partners to deliver data, AI, and cloud-based solutions that address complex customer experience challenges.
Deliver contact center analyses and strategic consulting for clients, turning operational and sales data into actionable insights and recommendations. Develop measurement plans and analytical presentations, manage project delivery and client communication, and maintain SOPs and process documentation.
The Sales Executive is responsible for generating new business revenue and expanding existing client accounts within the ANZ region. They will collaborate with internal teams and Microsoft partners to develop strategic account plans and deliver innovative CX solutions.
The Senior Data Engineer will lead the design and delivery of end-to-end data platforms using the Microsoft Azure Data & AI stack. They will also mentor engineering team members and act as a technical advisor to client stakeholders.
Lead the design and delivery of end-to-end data platforms using the Microsoft Azure Data & AI stack. Mentor engineering teams and act as a technical advisor to client stakeholders regarding architecture and data strategy.
The ServiceNow Project Manager is responsible for the successful execution of consulting engagements, including managing project schedules, budgets, and resource planning. They will lead Agile and Hybrid Agile projects while coordinating cross-functional teams to ensure delivery quality and customer satisfaction.
The Director of Data Architecture will lead the design and implementation of scalable, AI-ready data platforms using Microsoft Azure and Fabric. This role involves serving as a strategic advisor to clients, managing presales activities, and providing technical leadership to engineering teams.
The Sales Executive is responsible for driving new business growth by identifying and closing enterprise-level opportunities for CCaaS and CX solutions. They will manage complex sales cycles, develop strategic account plans, and collaborate with cross-functional teams to deliver tailored customer solutions.
Manage the end-to-end delivery of NICE CCaaS solutions for enterprise clients, including project planning, status reporting, and risk mitigation. Lead cross-functional teams and maintain strong relationships with stakeholders to ensure project objectives are met within scope.
The Business Development Representative will partner with AWS Field Sellers to identify, engage, and qualify new opportunities across targeted accounts. This role involves executing multi-channel prospecting campaigns and maintaining accurate pipeline data within CRM systems.
The Salesforce Project Manager is responsible for the successful execution of consulting engagements, including managing project schedules, budgets, and resource planning. They coordinate with cross-functional teams to identify risks, resolve issues, and ensure project delivery remains aligned with contractual commitments.
The Architect leads and mentors engineering teams while driving the delivery of AI-powered customer experience and contact center solutions. They are responsible for solution design, implementation oversight, and coordinating cross-functional efforts across product, architecture, and DevOps teams.
The Architect will lead engineering teams and oversee the delivery of AI-powered customer experience solutions across the company's product portfolio. They are responsible for solution design, technical implementation, and coordinating cross-functional efforts between product, architecture, and DevOps teams.
You will design, deploy, and optimize multi-agent workflows using Google's GECX platform and custom code tools. This involves writing backend logic, managing agent hierarchies, and automating quality testing for customer-facing AI solutions.
The Sr. Sales Executive will drive new-logo growth by selling Amazon Connect and AI-powered professional services to enterprise organizations. They are responsible for the full sales cycle, including prospecting, executive discovery, and orchestrating complex transformation deals.
The Sr. Sales Executive will drive new-logo growth by prospecting and closing transformational deals for Gemini Enterprise and TTEC Digital solutions. They will manage the full sales cycle, build executive relationships, and orchestrate internal teams to deliver high-value business outcomes.
You will design, develop, and implement scalable ServiceNow solutions while collaborating with stakeholders to gather requirements and provide technical guidance. Additionally, you will support various ServiceNow modules, perform unit testing, and maintain technical documentation to ensure successful project delivery.
The QA/SDET Lead will define and execute the quality strategy for a high-velocity platform, focusing on automation-first engineering and rapid regression testing. This role involves leading a team while remaining hands-on with framework design, architecture, and solving complex technical challenges.
You will own automation coverage for squad services, including fast-turnaround regression suites and load/stress testing for high-throughput systems. The role focuses on maintaining quality signals in a weekly deployment cycle within a startup-like environment.
Design and scale production-ready Multi-Agent Systems and complex AI workflows using Google's Agent Development Kit. Integrate AI agents with enterprise datastores and APIs to move prototypes into mission-critical business systems.
Act as the technical lead for enterprise customers by scoping deployments, designing tenant configurations, and conducting live demos. Translate business requirements into technical specifications for engineering while ensuring fast customer go-live timelines.
Lead the quality assurance and SDET efforts for the development of next-generation AI CX tools. Ensure the successful deployment of automated QA and conversational analytics into large-scale enterprise environments.
Develop next-generation AI CX tools including automated QA and conversational analytics for large enterprise brands. Build and ship high-efficiency, low-latency frontend solutions and Chrome extensions within an innovation group.
Develop and maintain design systems and UX components for next-generation AI customer experience tools. Build automated QA, conversational analytics, and agentic automation tools for large enterprise clients.
Build and deploy next-generation AI CX tools including automated QA and conversational analytics for enterprise clients. Focus on shipping high-efficiency, event-driven, and low-latency distributed systems at scale.
Develop and ship next-generation AI CX tools including automated QA and conversational analytics for enterprise clients. Build high-efficiency, low-latency distributed systems to improve company trajectory and stock value.
