Xplore Inc

Role Description We are looking for a Sales Account Specialists to join our team in either our Fredericton / Woodstock, New Brunswick, office and or remotely from a home-based office in Canada. In this position, you will manage customer profiles, cross-sell initiatives, and acquisition activities. You will be responsible for generating sales activity to fulfill new and existing customer’s internet and product needs. You will also support the inbound queue and complete follow-up activity on sales leads. The Sales Account Specialists will provide support to our in-field installers to facilitate sales and value-added service requests. - Sales activities to increase internet and value-added service revenue - Acquisition and cross-sell initiatives - Lead follow-up activities - Support in-field sales requests - Supporting the inbound call queue as required (overflow) Qualifications - Demonstrated decision-making skills - Proven record of excellent people skills, including good interpersonal skills - Excellent communication skills, both spoken and written - Excellent listening skills - Ability to adapt to an ever-changing environment - Professionalism and tact in representing the organization - Strong work ethic - Experience in a customer-focused role or a combination of skills and experience that clearly demonstrate success - Comfortable working under pressure in a fast-paced, dynamic environment - Strong time management and organizational skills - Ability to multi-task with attention to detail - Ability to work independently or as part of a team Requirements - This position is subject to the successful completion of a Criminal Background Check. Benefits - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process.

Role Description The Senior Manager, Contracts & Vendor Management leads the execution, governance, and continuous improvement of contract and vendor management practices across a multi-vendor environment. This role is accountable for driving team performance, strengthening vendor relationships, and ensuring contracts are executed with consistency, quality, and commercial discipline. This is a high-impact leadership opportunity to shape contract and vendor strategy within a rapidly scaling national telecom organization, directly influencing how critical infrastructure gets built and delivered. Leading a team of Contracts Managers, this role balances people leadership with operational oversight, elevating team capability, improving vendor engagement, and ensuring the organization is viewed as a professional and reliable partner. The successful candidate will be a hands-on leader who brings structure, clarity, and a focus on execution. This individual is proactive, detail-oriented, and motivated by improving both team effectiveness and external partner relationships. - Team Leadership & Performance - Lead, coach, and develop a team of Contracts Managers, driving accountability and high performance - Set clear expectations, monitor performance, and provide ongoing feedback and development - Foster a culture of ownership, urgency, and solution-oriented execution - Vendor Management - Oversee vendor relationships to ensure effective, professional, and collaborative engagement - Address vendor performance issues and drive accountability where required - Ensure consistency and quality in all vendor-facing interactions - Strengthen the organization’s reputation as a preferred partner - Contract Oversight & Governance - Provide oversight on contract execution, compliance, and risk management - Partner with internal stakeholders (including Legal) on contract review and issue resolution - Support negotiation strategies aligned with business objectives - Ensure accuracy, consistency, and quality across all contract documentation - Process Improvement & Operations - Identify and implement improvements to workflows, tools, and team efficiency - Standardize templates, processes, and documentation - Ensure clarity in roles, responsibilities, and deliverables across the team - Act as an escalation point for complex contract or vendor issues - Success Measures - Improved team performance, accountability, and engagement - Stronger, more effective vendor relationships - Increased consistency, efficiency, and quality in contract management - High standard of documentation and communication Qualifications - Experience leading teams in contracts management, vendor management, or similar functions - Strong people leadership skills with a track record of improving team performance - Experience operating in multi-vendor, stakeholder-heavy environments - Ability to influence, coach, and drive behavioural change - High attention to detail and commitment to quality - Background in telecom, infrastructure, construction, or related industries is an asset Requirements - As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. Benefits - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description We are looking for a Digital Sales Specialist based remotely. You will be part of a sales force responsible for growing Xplore’s customer base and providing win-win solutions which enhance our customer’s experience. Achieving and exceeding your sales targets by responding to our customer initiated digital form requests. You will identify and fulfill our potential new and existing customer’s needs with Xplore’s products and services. Through performing needs assessments, you will offer innovative broadband solutions to enhance the customer’s lifestyle at work, home and play. Responding to customer-initiated requests you will serve as the first impression of customer experiences and ensure customers are engaged and are confident in their solutions. We are searching for a highly motivated, self-directed sales person. You are as enthusiastic about sales as we are, or even more. Key responsibilities include: - Completing outbound sales calls to potential customers when requested through digital channels by the customer. - Playing an instrumental role in bringing in new customers and customer leads by interacting with potential customers living in rural Canada to identify opportunities, use information provided to tailor offers to suit customer needs, provide features and benefits, and secure new business. - Responding to digital form submissions initiated from potential customers on the Xplore Website and Marketing initiated landing pages to present the value of Xplore Services. - Confidently and effectively handling and overcoming objections. - Working with internal and external partners to schedule customer installation appointments. - Managing your individual sales pipeline, including follow up activities through email as well as inbound and outbound phone calls. - Interacting with the existing customer base to inform and educate regarding value added services (VAS) solutions, identify opportunities, provide features and benefits, and complete requests to increase the average revenue per user (ARPU). - Back-up support for the inbound sales queue when needed. - Working independently towards individual and team measures to deliver excellent customer service. - Follow up on installation appointments where necessary via contact with the customer, dealer and/or District Manager. - Work closely with control center agents to determine dealers when none are mapped to the dealer locator, and also when needed to get quotes for enhanced installs/mileage for customers. - Off phone tasks when requested. - Working with Control Center or District Managers to complete reassignments when dealers decline work/have too much work. - Work with dealer support for customers inquiring about technical specifications required for their service. - Communicate with Marketing team on what’s working and driving viable sales forms and what would improve customer response rate. Qualifications - Bilingualism (French/English) is required. - 1+ years’ experience in a customer focused sales role or a combination of skills and experience that clearly demonstrate success. - Sales experience within a call center/office environment would be considered an asset. - Excellent communication skills, verbal and written, with strong closing techniques. - Provide accurate, timely, and professionally written responses to chats & emails. - Strong time management and organizational skills. - Exceptional attention to detail. - Must have the ability to multi-task and alternate between high volumes of channels (chats, emails, calls). - Comfortable working in a fast-paced, dynamic environment. - Maintain up to date and comprehensive knowledge of Xplore services, products, and procedures. - Demonstrated sales acumen with a competitive drive and a strong work ethic. - Ability to work independently or as part of a team. - Intrinsically self-motivated and able to maintain a high measure of productivity. - Ability to handle and de-escalate conflict verbally and in written correspondence. - Working knowledge of Microsoft Office software and Internet browsers. - Familiarity with basic use of voice mail and electronic mail systems. Requirements - As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities across Fiber, Fixed Wireless, and Satellite platforms in both cloud and on-prem environments. You will design and operate the Bronze-to-Silver-to-Gold medallion pipelines for all network telemetry domains, ensuring that on-premise network modeling outputs are reliably structured, governed, and delivered as trusted enterprise Gold-tier assets. This role spans both cloud and on-premises platforms, including building, maintaining, and optimizing data pipelines and supporting infrastructure on-prem—not just migrating workloads to the cloud. Your work directly underpins predictive analytics, ML model training, and operational dashboards consumed by network engineering, operations, and executive audiences. You will work in a cross-functional squad alongside the Network Intelligence & Automation Specialist, Data Scientists, and value-stream AI/Observability engineers, contributing to platform standards and mentoring intermediate engineers on the team. - Design and build production-grade ELT pipelines in Databricks (PySpark, Delta Live Tables, Databricks Workflows) ingesting telemetry from RAN, transport, core, and cloud network platforms. - Own and maintain Bronze, Silver, and Gold tier datasets for all network domains, including schema governance, SLA adherence, and data quality standards in Unity Catalog. - Design, build, and maintain data pipelines and supporting components across both cloud and on-premises environments, including new on-prem solutions required for network telemetry and analytics workloads—not only cloud migration initiatives. - Deliver structured Bronze and Silver tier network modeling outputs into the Corporate Enterprise Gold tier, ensuring alignment with enterprise data architecture standards. - Apply partitioning, liquid clustering, and incremental load patterns to support large-scale time-series and event-driven network telemetry data. - Define and document canonical data models for network telemetry entities: cells, sites, circuits, alarms, and performance counters. - Instrument pipelines with data quality checks, alerting, and SLA monitoring to ensure operational reliability. - Partner with Data Scientists to produce feature-engineered Gold datasets suitable for ML model training and inference pipelines. - Collaborate with the GIS Data Engineer to integrate geospatial dimensions into network telemetry datasets. - Translate network engineering data requirements into structured pipeline specifications and delivery roadmaps. Qualifications - 7+ years of experience in data engineering with production-grade pipeline development. - Expert-level Databricks experience: Spark optimization, Delta Lake, Unity Catalog, and Databricks Workflows or Delta Live Tables. - Strong Python and PySpark for production data engineering. - Solid understanding of medallion architecture (Bronze / Silver / Gold) and enterprise data governance principles. - Experience with streaming or near-real-time ingestion patterns: Kafka, Event Hubs, or Databricks Auto Loader. - Proficiency with Azure Data Lake Storage Gen2 and Azure-based data platform components. - Solid data modeling skills for time-series and high-frequency event datasets. - Strong communication skills and demonstrated mentorship experience. Preferred Qualifications - Familiarity with network telemetry data sources: SNMP, syslog, NetFlow, RAN KPIs, or equivalent. - Telecom, FWA, or infrastructure analytics domain experience. - Experience with On-Prem Kafka is a bonus. - Familiarity with Terraform or infrastructure-as-code for pipeline environment provisioning. - Databricks Certified Data Engineer (Associate or Professional). - Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Condition of Employment As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description As a Senior Data Scientist, you will develop and deploy the predictive analytics and ML models that enable Xplore's network to become self-monitoring and increasingly self-optimizing across Fiber, Fixed Wireless, and Satellite platforms. - Translate high-resolution network telemetry, operational event data, and customer experience signals into production ML models that reduce incident response times, improve capacity planning accuracy, and surface network degradation before customers are impacted. - Build and operate solutions across both cloud and on-premises environments, supporting migration initiatives and designing, developing, and deploying capabilities that run natively on-prem where needed. - All modeling work is built and served on Databricks, leveraging Gold-tier data assets and integrating with automation and observability pipelines operated by the broader network intelligence squad. - Mentor data scientists on the team and serve as the technical ML authority for the Network Intelligence domain. Key responsibilities include: - Develop and deploy ML models for anomaly detection, predictive failure, capacity forecasting, and network performance degradation using Databricks and MLflow. - Build feature engineering pipelines from network telemetry (RAN KPIs, alarms, traffic counters, customer experience data) using PySpark and Python against Gold-tier Databricks assets. - Design and maintain MLflow experiment tracking, model registries, and retraining pipelines to support production model lifecycle management. - Evaluate and apply appropriate algorithms matched to network time-series and event-driven data patterns: gradient boosting, LSTMs, isolation forest, survival models, and similar. - Build optimization and scoring frameworks to prioritize network interventions: incident severity scoring, site risk tiering, maintenance urgency ranking. - Integrate model outputs with automation pipelines so that insights translate into actionable triggers for network operations teams. - Translate complex model outputs into clear narratives, visualizations, and Databricks AI/BI dashboard inputs consumable by engineering, operations, and executive audiences. - Partner with Data Engineers to specify feature datasets, ensure data quality, and align on pipeline dependencies. - Present findings and model performance to Director and VP-level stakeholders with confidence and clarity. Qualifications - 7-10+ years of applied data science or ML engineering experience in a production environment. - Strong proficiency in Python for data science: pandas, scikit-learn, XGBoost, and PyTorch or TensorFlow. - Hands-on experience building and deploying data science or ML solutions across both cloud and on-premises environments, including Databricks for model development, MLflow for experiment tracking, and Delta Lake for feature management. - Solid foundation in statistical modeling, time-series analysis, and anomaly detection methods. - Experience working with large-scale, high-frequency telemetry or event-driven datasets. - Familiarity with SHAP or other model explainability frameworks for stakeholder communication. - Ability to frame business problems as ML problems and communicate results clearly to non-technical audiences. - Strong communication skills and demonstrated mentorship experience. Preferred Qualifications - Background in network operations, telecommunications, or infrastructure analytics. - Familiarity with network performance metrics: throughput, latency, packet loss, RSRP/RSRQ, SINR, or equivalent RAN KPIs. - Exposure to reinforcement learning or simulation-based optimization for network decisioning. - Experience with Databricks Feature Store or equivalent feature platform tooling. - Databricks Certified Machine Learning Professional. - Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field. Requirements - As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description As an Analytics Engineer for Network Intelligence on the Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve analytics that engineering, operations, and leadership teams rely on daily. You will own the semantic layer, curated Gold-tier analytical datasets across both on-prem and cloud data platforms, and Databricks AI/BI dashboards that surface real-time and historical network intelligence across Fiber, Fixed Wireless, and Satellite domains. This role is not limited to cloud migration work; it also requires designing, building, and operating analytical datasets, transformations, and reporting assets directly on-prem where business and operational needs require it. Unlike a pure data engineer who focuses on pipeline infrastructure, or a data scientist focused on modeling, your specialty is making data reliable, understood, and usable by the widest possible audience: you own metric definitions, dashboard governance, and the translation of operational data needs into clean, documented analytical assets. - Define, document, and maintain canonical KPI and metric definitions for network health, incident volume, capacity utilization, and customer experience indicators in Unity Catalog. - Build and own the semantic layer (Databricks AI/BI datasets) underpinning self-serve analytics for network operations, engineering, and leadership stakeholders. - Design and build operational and executive dashboards in Databricks AI/BI covering real-time network health, incident trends, performance benchmarks, and customer impact metrics. - Develop automated alerting and correlation views that reduce noise for network operations teams and accelerate root cause identification. - Build curated Gold-tier analytical tables and transformation layers across both on-prem and cloud platforms using SQL and PySpark, applying business logic, aggregations, and dimensional modeling patterns. - Implement data quality checks and automated validation to ensure analytical outputs are accurate before reaching business consumers. - Partner with Data Engineers to surface upstream data quality issues and define requirements for Silver-to-Gold transformations. - Act as the subject matter expert for network and operations data consumers, supporting self-serve analytics adoption across engineering and ops teams. - Produce clear data dictionaries, lineage documentation, and onboarding guides for all owned analytical assets. - Support executive-level reporting with accurate, clearly structured KPI outputs tied to network quality and customer experience. Qualifications - 5+ years of analytics engineering, BI development, or data analysis experience in a data-intensive environment. - Expert SQL skills: complex analytical queries, window functions, dimensional modeling, and metric grain definitions at scale. - Hands-on Databricks experience: SQL Warehouses, AI/BI Dashboards, and Unity Catalog; or equivalent modern data stack experience (Snowflake, BigQuery + Looker or dbt). - Strong understanding of data modeling concepts: star schema, slowly changing dimensions, and single-source-of-truth metric governance. - Demonstrated ability to translate ambiguous business questions into well-defined analytical datasets and dashboard specifications. - Proficiency in Python for lightweight transformations and pipeline scripting. - Excellent written and verbal communication skills; comfort presenting analytical findings to Director and VP-level audiences. Preferred Qualifications - Experience building and supporting analytics or transformation layers on-prem as well as in Databricks/cloud environments; not limited to migration initiatives. - Background in network operations, telecommunications, or infrastructure analytics. - Familiarity with Grafana, Datadog, or Prometheus as complementary network observability tools. - Experience designing role-based access controls and data governance frameworks in a cloud or on-prem data platform. - Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field. Requirements - As a condition of employment and in order to comply with industry-related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description We are looking for Bilingual Inside Sales Specialists to join our team remotely from Canada. You will be part of an enthusiastic sales team responsible for growing Xplore’s customer base and providing win-win solutions that enhance our customer’s experience. As an Inside Sales Specialist, you will contribute to Xplore’s success by answering inbound calls from potential customers and guiding them through the decision-making process. You will be responsible for offering Xplore’s innovative broadband and value-added service solutions to help enhance the customer’s lifestyle at work, home, and play. Key responsibilities include: - Answering inbound calls from potential customers to present the value of Xplore Internet Services - no cold calling! - Being the first impression for potential customers driven to contact us through our marketing efforts. - Actively listening to potential customers, analyzing their needs, and offering customized solutions. - Offering additional Xplore products and services. - Using effective relationship-building skills and probing abilities to successfully close the sale. - Working with partners and tools provided to schedule customer installation appointments. - Managing your individual prospects via follow-up calls and emails. - Working independently towards individual and team objectives. - Base hourly rate plus an on-target monthly bonus of 30-50% of your base wage that is uncapped. - Every sale contributes to your monthly bonus. - Shift bids weighted heavily on performance. - Regular sales incentive programs/contests with prizes. - Outbound calls to existing leads offering premium internet solutions. Qualifications - Bilingualism (French/English) is required. - Excellent communication skills, verbal and written, with strong closing techniques. - Excellent listening skills, know when to suggest additional products/services to increase customer satisfaction. - Strong time management and organizational skills. - Ability to multi-task with attention to detail. - Professionalism and tact in representing the organization. - Focus and self-motivation in accomplishing work objectives. - Working knowledge of Microsoft Office software and Internet browsers. - Familiarity with basic use of voice mail and electronic mail systems. Benefits - Base hourly rate plus an on-target monthly bonus of 30-50% of your base wage that is uncapped. - Every sale contributes to your monthly bonus. - Shift bids weighted heavily on performance. - Regular sales incentive programs/contests with prizes.

Role Description As a Senior GIS Data Engineer, you will play a key role in designing, building, and optimizing Xplore’s enterprise data lakehouse platform and Machine Learning stack. This is a remote role and open to candidates based anywhere within Canada. You’ll own the end-to-end GIS data engineering function in the Data & AI team, from spatial data ingestion through publishing to ArcGIS, with primary accountability for the eCoverage platform and spatial feature pipelines that feed ML, analytics, and serviceability decisioning. You will mentor intermediate and junior engineers, contribute to platform standards, and partner with analytics and AI teams to deliver high-quality, trusted workflows. - Own and operate GIS workflows powering eCoverage qualification, including H3 indexing, framework selection, and probabilistic coverage modeling in Databricks. - Build and maintain spatial feature engineering pipelines on Databricks that supply ML models (RF propagation, churn, demand) with production-grade geospatial features. - Engineer the Databricks-to-ArcGIS publishing path, ensuring reliable, performant delivery of spatial layers into ArcGIS Online and Enterprise. - Optimize last-mile compute and cost on Databricks across Classic and Serverless, tuning Spark jobs, partitioning strategies, and spatial query performance. - Manage spatial data ingestion at scale (shapefiles, rasters, vector tiles) into Unity Catalog with governed schema and lineage. - Lead vendor engagements: scope geospatial use cases, draft data contracts and statements of work, and hold third parties to defined deliverables. - Partner with data science, analytics, and network teams to translate business requirements into spatial data products. - Implement and enforce governance, lineage, cataloging, and data quality frameworks. - Translate business requirements into scalable data engineering solutions. Qualifications - 7-10 years of experience in data engineering. - Expert-level Databricks experience, including Spark optimization, Delta Lake, and Unity Catalog governance. - Strong Python and PySpark for production data engineering. - Demonstrated GIS depth: PostGIS, spatial SQL, coordinate systems, and ArcGIS (Online and Enterprise) workflows. - Experience with H3 or comparable spatial indexing at scale. - Proven track record scoping and managing vendor data contracts and project deliverables. - Knowledge of CI/CD, infrastructure-as-code, and data observability solutions. - Strong communication skills and demonstrated mentorship experience. Preferred Qualifications - Telecom, FWA, or network coverage domain experience. - Familiarity with cloud-native open geospatial sources (DEM, building footprints, land cover). - Exposure to ML feature pipelines and probabilistic modeling. - Bachelor’s or Master’s degree in Computer Science, GIS Engineering, or related field. Condition of Employment As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description As a Data Scientist at Xplore, you will play a key role in developing and deploying data-driven solutions that support business growth, customer retention, and operational efficiency. You will work on impactful projects such as churn prediction, upsell targeting, and network optimization, applying advanced analytics and machine learning techniques to solve real-world problems. This role is ideal for someone who is passionate about turning data into actionable insights, enjoys hands-on modeling, and wants to grow their expertise in a collaborative environment. - Develop and implement predictive and prescriptive models like: - Customer churn and retention strategies - Upsell and cross-sell opportunity scoring - Product coverage estimation and optimization - Perform feature engineering, model training, validation, performance tuning, and deployment using advanced ML techniques - Collaborate with cross-functional teams (marketing, sales, operations, care, product) to translate business requirements into data science solutions - Support model deployment and monitoring in production environments - Conduct exploratory data analysis and provide insights to inform business decisions - Document methodologies and ensure reproducibility of work - Stay current with emerging tools and techniques in machine learning and analytics Qualifications - 3–5+ years of experience in applied data science or machine learning - Hands-on experience with predictive modeling, time-series forecasting, and statistical analysis - Proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) - Extensive experience with SQL and data manipulation in large datasets - Experience with cloud platforms and distributed computing - Strong problem-solving and analytical skills - Ability to communicate technical concepts to non-technical stakeholders - Familiarity with A/B testing and experimentation frameworks is a plus - Experience with end-to-end project ownership including deployment is an asset - Bachelor’s or Master’s in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) Requirements - As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. Benefits - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Role Description We are seeking an Enterprise Account Executive to join our dynamic Xplore Business sales team. Based out of the East Coast, this role is responsible for driving new business acquisition and growth and managing key accounts. You will build strong client relationships, manage complex sales cycles, and deliver Xplore’s suite of B2B Internet connectivity and value-added services. Supported by a rapidly expanding fibre network and best-in-class leadership, this position offers significant earning potential and career growth. - Achieve monthly and quarterly sales targets for new business and recurring revenue - Actively prospect and engage new clients through in-person and virtual channels - Manage and grow existing accounts while identifying upsell opportunities - Develop proposals and close deals using approved pricing and offers - Leverage Salesforce to maintain pipeline and forecast accurately - Collaborate with Technical Operations and other stakeholders for solution design and implementation - Attend industry events and travel within assigned territories as required - Provide market feedback and insights to support pricing and strategy decisions Qualifications - College or Bachelor’s degree in Business, Marketing, or related field - 5+ years of B2B sales experience preferably in telecommunications or ISP industry - Proven track record of exceeding quotas and managing complex deals - High relationship building skills and results orientation - Strong knowledge of fibre networks and digital transformation solutions - Ability to engage with C-Suite and key decision-makers - Excellent communication, negotiation, and relationship-building skills - Proficiency in Salesforce and Microsoft Office Suite - Analytical thinking and problem-solving abilities - Adaptability in a fast-paced, high-growth environment - Customer-first mindset and commitment to exceptional service - Frequent travel within designated territory; valid driver’s license and reliable vehicle are required Requirements - As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.