The consultant will transform data into actionable insights through recurring reporting, ad hoc analysis, and the application of AI-enabled tools. They will collaborate with cross-functional teams to build dashboards and communicate findings to support business decision-making.
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 consultant will design, configure, and implement Salesforce solutions while collaborating with cross-functional teams to improve business processes. Responsibilities include managing declarative functionality, executing various test cases, and supporting user adoption through documentation and training.
Manage the full-cycle recruiting process for sales and go-to-market positions, from intake through offer acceptance. Partner with hiring leaders to develop targeted sourcing strategies and provide market intelligence to attract top commercial talent.
The Executive Director will lead complex contact center projects and teams, acting as the primary project owner and customer-facing leader. They are responsible for driving end-to-end project success, managing budgets, and mentoring engineering and solution architecture teams.
The Senior Business Data Analyst will lead end-to-end analytics initiatives, including data extraction, transformation, and the development of predictive algorithms. They are responsible for ensuring data quality, governance, and communicating actionable insights to executive stakeholders.
The specialist will lead AI discovery workshops and design AI-enabled architectures for Amazon Connect contact center environments. They will partner with stakeholders to define use cases, develop roadmaps, and ensure AI solutions are effectively implemented by engineering teams.
The Senior Consultant designs, configures, and supports AI-enabled contact center experiences within the Amazon Connect platform. They are responsible for translating business requirements into functional contact flows, AI integrations, and operational reporting solutions.
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.
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.
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.
Manage a portfolio of low-touch and tech-touch clients to ensure high satisfaction, seamless delivery, and on-time renewals. Collaborate with cross-functional teams to resolve escalations and identify opportunities for account expansion and value adoption.
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.
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.
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.
Develop and ship next-generation AI CX tools including automated QA and conversational analytics for enterprise clients. Focus on building high-efficiency, event-driven, and low-latency distributed systems.
Develop next-generation AI CX tools including automated QA, conversational analytics, and agentic automation for enterprise clients. Build and maintain high-efficiency, event-driven, and low-latency distributed systems.
Lead the strategic growth and evolution of TTEC Digital's Azure practice, focusing on data modernization and AI enablement. Develop go-to-market strategies and manage the strategic partnership with Microsoft to drive revenue and market expansion.
Act as the primary problem solver and technical leader, owning platform architecture decisions for the C1 Platform Foundation. You will develop reference implementations and mentor engineers by writing code to unblock squads.
Lead a development squad as a player-coach, writing complex code and overseeing the delivery of real-time AI CX tools. Own the development of event-bus services, AI/ML pipelines, and connector frameworks for enterprise deployments.
Run the day-to-day engineering organization, owning delivery across all squads and managing the hiring pipeline. Translate business requirements into technical scope and ensure the consistent shipment of working software via weekly demos.
Own the platform backend, including AI services, Desktop Intercept clients, and third-party integrations for CCaaS and CRM platforms. Define API contracts, set latency and cost budgets, and establish guardrails for AI-driven customer experience tools.
Own the end-to-end agent and supervisor experience, including the Agent UI, Control UI, and Active Listening UX. Define information hierarchy and real-time UX standards to reduce cognitive load and improve agent efficiency.
The Sales Executive is responsible for generating revenue by acquiring new clients and expanding existing accounts through Microsoft digital contact center solutions. This includes developing joint target account strategies with Microsoft and presenting complex proposals to corporate decision-makers.
Drive new business growth by identifying and closing new logo opportunities within enterprise and upper mid-market organizations. Lead complex sales cycles for CCaaS, AI, and digital transformation solutions while collaborating with cross-functional teams.
The role involves leading end-to-end analytics initiatives by translating business needs into actionable insights and automating data pipelines. It also focuses on ensuring data quality, governance, and the delivery of predictive algorithms to support strategic decision-making.
Develop, test, and deliver the NICE CXone AI software platform, specifically implementing Proactive AI Agents, Cognigy, and Omilia. Responsibilities include coding, unit testing, resolving defects, and supporting the production environment within a team setting.
Lead and own multiple complex, large-scale Microsoft Azure transformation engagements while ensuring client success and meeting business objectives. Manage financial metrics, P&L across portfolios, and drive customer satisfaction through strategic relationship management.
The role involves leading a team of developers to manage, operate, and improve AWS-based solutions for clients within a managed services framework. Responsibilities include incident response, change management, infrastructure-as-code updates, and mentoring junior team members.
The Platform Adoption Specialist is responsible for independently scoping and executing configuration changes within the Genesys Cloud platform. They manage a high volume of MACD tasks while coordinating with internal teams and clients to ensure high-quality, efficient implementations.
The NICE CXone Engineer is responsible for the development, testing, and implementation of the NICE CXone software platform. This role involves collaborating with project teams to enhance software, resolve defects, and support production environments using agile or waterfall methodologies.
