IT Support SpecialistLocation: Phoenix, AZ (Onsite)OverviewOur client is looking for an IT Support Specialist to provide technical support for end users and maintain IT systems across the organization.Responsibilities Provide desktop and laptop support. Install and configure hardware and software. Troubleshoot Windows and Microsoft 365 issues. Manage user accounts and permissions. Document support requests and resolutions. Assist with onboarding and offboarding employees.Requirements Associate's or Bachelor's degree in IT or equivalent experience. 2+ years of technical support experience. Experience supporting Windows 10/11 environments. Knowledge of Microsoft 365 and Active Directory. Strong troubleshooting and customer service skills.Preferred Qualifications CompTIA A+ certification. Experience with Intune, SCCM, or Jamf. Basic networking knowledge (TCP/IP, DNS, DHCP).

Data EngineerLocation: Chicago, IL (Hybrid)OverviewOur client is seeking a Data Engineer to build scalable data pipelines and support business intelligence initiatives.Responsibilities Design and maintain ETL pipelines. Build and optimize data warehouses. Ensure data quality and integrity. Collaborate with analysts and data scientists. Monitor and improve pipeline performance.Requirements Bachelor's degree in Computer Science or related field. 3+ years of data engineering experience. Strong SQL skills. Experience with Python. Experience with Snowflake, Redshift, or BigQuery. Knowledge of Airflow or similar workflow tools.Preferred Qualifications Experience with Spark. Familiarity with AWS or Azure data services.

Cybersecurity AnalystLocation: Tampa, FL (Hybrid)OverviewOur client is hiring a Cybersecurity Analyst to monitor security threats, investigate incidents, and strengthen the organization's security posture.Responsibilities Monitor security alerts and investigate incidents. Perform vulnerability assessments. Maintain security documentation. Support compliance initiatives. Recommend security improvements.Requirements 2+ years of cybersecurity experience. Knowledge of SIEM tools. Understanding of network security. Experience with vulnerability management. Familiarity with Windows and Linux environments.Preferred Qualifications Security+, CySA+, or CISSP certification. Experience with Microsoft Defender or CrowdStrike.

Cloud EngineerLocation: Dallas, TX (Remote - US)OverviewOur client is seeking a Cloud Engineer to manage cloud infrastructure, improve system reliability, and support DevOps initiatives.Responsibilities Build and maintain cloud infrastructure. Automate deployments using Infrastructure as Code. Monitor system performance and security. Support CI/CD pipelines. Collaborate with engineering teams on cloud best practices.Requirements 4+ years of cloud engineering experience. Strong knowledge of AWS or Azure. Experience with Terraform or CloudFormation. Familiarity with Docker and Kubernetes. Experience with scripting using Python or Bash. Understanding of networking and security principles. Preferred Qualifications AWS or Azure certifications. Experience supporting large-scale production environments.

Software Engineer (Backend)Location: Austin, TX (Hybrid) Employment Type: Full-TimeOverviewOur client is looking for a Backend Software Engineer to build and maintain scalable web applications and APIs. This role involves collaborating with product managers, designers, and other engineers to deliver reliable software solutions.Responsibilities Design, develop, and maintain backend services and APIs. Write clean, maintainable, and well-tested code. Optimize application performance and scalability. Troubleshoot production issues and implement fixes. Participate in code reviews and technical discussions.Requirements Bachelor's degree in Computer Science or related field (or equivalent experience). 3+ years of backend development experience. Experience with Java, C#, Python, or Node.js. Knowledge of REST APIs and SQL databases. Familiarity with cloud platforms such as AWS or Azure. Experience with Git and Agile development. Preferred Qualifications Experience with Docker and Kubernetes. Knowledge of CI/CD pipelines.

Vice President, Software Engineering & Product Development MontrealOverview Our client is seeking an experienced and strategic Vice President of Software Engineering & Product Development to lead the evolution of enterprise software platforms, cloud technologies, and AI-driven solutions within a growing technology organization. This executive leadership role is responsible for overseeing engineering, product development, cloud modernization, AI strategy, platform scalability, and operational excellence across complex enterprise environments. The ideal candidate will balance innovation with stability while driving long-term technology strategy, modern architecture practices, and customer-focused product delivery. As a key member of the executive leadership team, this individual will play a critical role in shaping technology direction, product strategy, operational scalability, and organizational growth.Key Responsibilities Technology & Platform Leadership • Define and execute long-term technology and product strategies across cloud, hybrid, and enterprise software environments • Lead platform modernization initiatives including cloud-native architecture, API-first design, automation, and scalable infrastructure • Establish engineering and architectural standards focused on performance, scalability, security, and maintainability • Drive engineering excellence through DevSecOps, CI/CD, automation, observability, and modern development practices • Ensure reliable, secure, and scalable SaaS operations with strong release governance and operational discipline • Oversee the modernization of legacy platforms while minimizing customer disruption AI Strategy & Data Enablement • Develop and implement practical AI and data strategies aligned with business and customer needs • Identify and prioritize AI use cases that improve operational efficiency, automation, analytics, and decision support • Ensure data architecture and governance frameworks support scalable AI and analytics initiatives • Promote responsible AI practices including transparency, governance, privacy, and security Product & Cross-Functional Collaboration • Partner with Product Management and business leaders to align roadmaps with customer priorities and market demands • Collaborate with Customer Success, Professional Services, and Operations teams on strategic initiatives and enterprise deployments • Participate in executive-level customer engagements and long-term strategic planning • Provide technology leadership that supports customer value and business growth Leadership & Organizational Development • Lead and develop senior leaders across Engineering, Product Development, QA, DevOps, Security, Architecture, and Cloud Operations • Foster a culture of accountability, collaboration, innovation, and continuous improvement • Oversee workforce planning, recruitment, succession planning, and leadership development • Support ongoing team development in cloud technologies, AI, cybersecurity, and modern engineering practices Security, Governance & Operations • Provide executive oversight for security, compliance, risk management, and operational governance • Ensure systems and processes meet enterprise standards for resilience, privacy, and scalability • Proactively manage technical and operational risks related to infrastructure, applications, and customer environments • Lead budgeting, vendor management, and technology investment planning Executive Leadership • Represent technology and product functions at the executive leadership level • Communicate roadmap progress, priorities, risks, and strategic recommendations to stakeholders • Contribute to corporate strategy through technology, product, and innovation leadershipQualifications Required Experience • 15+ years of experience in software engineering, enterprise technology, or SaaS platform leadership • 5+ years in executive or senior technology leadership roles • Proven experience leading cloud modernization and enterprise platform transformation initiatives • Strong expertise in APIs, microservices, DevSecOps, cloud infrastructure, and enterprise integrations • Experience leading and scaling technical organizations including engineering, architecture, and operations teams • Strong understanding of enterprise software delivery and large-scale SaaS environments Preferred Experience • Experience integrating AI or machine learning capabilities into enterprise platforms • Exposure to complex enterprise ecosystems and large-scale integrations • Experience within scaling or modernization-focused technology organizations • Multi-region or international technology leadership experience Education • Bachelor’s degree in Computer Science, Software Engineering, or a related field • Master’s degree or MBA is considered an asset Preferred Certifications • Cloud architecture certifications (Azure, AWS, OCI, or equivalent) • Security certifications such as CISSP or CISM • Agile, DevOps, or product leadership certifications Tools & Technologies • Cloud platforms and enterprise infrastructure technologies • CI/CD pipelines, containerization, and orchestration tools • DevOps and observability platforms • AI-assisted development and productivity tools • Enterprise databases, analytics, and API management solutions • Project management and collaboration platforms Key Skills & Competencies • Executive leadership across large technical organizations • SaaS architecture and cloud modernization expertise • Strategic technology planning and operational governance • DevSecOps, automation, and secure development practices • AI strategy and enterprise technology innovation • Financial management, budgeting, and vendor oversight • Strong executive communication and stakeholder influence • Customer-centric and business-focused mindset • Organizational transformation and change leadership What We’re Looking For • A visionary technology leader who can balance innovation with operational excellence • A collaborative executive with strong business and technical acumen • A strategic thinker capable of driving modernization and scalable growth • A leader who can inspire teams, strengthen customer trust, and deliver measurable business impact

Senior Director of Sales MontrealOverview Our client is seeking a strategic and results-driven Senior Director of Sales to lead and scale a high-performing enterprise sales organization. This leadership role is responsible for driving revenue growth, expanding market presence, and optimizing sales performance across enterprise accounts and strategic markets. The ideal candidate is an experienced sales executive with a strong background in enterprise software, SaaS, or technology-driven solutions. This individual will oversee sales strategy, pipeline management, forecasting, team leadership, and go-to-market execution while collaborating closely with cross-functional teams to drive long-term business growth.Key Responsibilities Sales Strategy & Revenue Growth • Develop and execute sales strategies aligned with company growth objectives • Drive revenue generation through new business acquisition, account expansion, renewals, and upsell opportunities • Translate organizational goals into actionable sales plans, quotas, and execution frameworks • Ensure disciplined pipeline management, forecasting accuracy, and sales execution • Lead strategic enterprise sales initiatives and complex deal cycles Sales Leadership & Team Development • Lead, mentor, and develop Sales Managers, Account Executives, and sales leadership team members • Establish performance expectations, coaching structures, and accountability frameworks • Support hiring, onboarding, and succession planning within the sales organization • Foster a culture of collaboration, customer focus, and continuous improvement Go-to-Market Execution • Partner with Marketing and Customer Success teams to align pipeline generation and customer engagement strategies • Contribute to messaging, positioning, and account-based sales initiatives • Support product launches, industry events, and strategic growth initiatives • Ensure consistency across customer engagement and sales communication efforts Partnerships & Market Expansion • Identify and develop strategic partnerships to support market expansion and revenue growth • Support partner enablement and collaborative go-to-market initiatives • Represent the organization at industry conferences, client meetings, and executive events • Contribute to regional and international growth strategies Sales Operations & Forecasting • Define and monitor KPIs related to revenue performance, conversion rates, pipeline health, and customer growth • Own forecasting processes through data-driven pipeline analysis and sales reviews • Manage departmental budgets, sales tools, and operational investments • Deliver performance updates and strategic recommendations to executive leadership • Support scalable sales planning and operational efficiency initiatives Cross-Functional Collaboration • Work closely with Product, Marketing, Finance, Operations, and Customer Success teams • Provide customer and market feedback to support strategic planning and solution improvements • Promote strong collaboration to ensure a seamless customer journey from acquisition through retentionQualifications Required Experience • 10+ years of progressive experience in enterprise sales leadership roles • Proven track record of driving revenue growth and leading high-performing sales organizations • Experience within SaaS, enterprise software, or technology-driven environments • Strong understanding of complex enterprise sales cycles and stakeholder management • Experience leading cross-functional initiatives in fast-paced business environments Preferred Experience • Experience managing multi-region or international sales teams • Exposure to channel partnerships, alliances, or partner-led growth strategies • Experience with subscription-based business models and enterprise account management Education • Bachelor’s degree in Business, Marketing, Commerce, or a related field • MBA or equivalent advanced education is considered an asset Tools & Technologies • CRM platforms such as Salesforce, HubSpot, or equivalent • Sales forecasting and pipeline analytics tools • Microsoft 365 ecosystem including Teams, Outlook, and SharePoint • AI-assisted productivity and reporting tools • Sales enablement and partner management platforms Key Skills & Competencies • Executive-level sales leadership and strategic planning • Revenue forecasting and pipeline governance • Enterprise negotiation and stakeholder management • Strong analytical and data-driven decision-making abilities • Team leadership, coaching, and talent development • Cross-functional collaboration and executive communication • Customer-centric and growth-oriented mindset • Operational discipline and continuous improvement focus • Adaptability within high-growth and evolving environments What We’re Looking For • A strategic sales leader who thrives in a fast-paced environment • A collaborative executive with strong commercial acumen • A results-oriented professional focused on scalable growth and customer success • A leader who can inspire teams, strengthen partnerships, and drive measurable business impact

Vice President, Professional Services MontréalOverview Our client is seeking an experienced and client-focused Vice President of Professional Services to lead customer engagement initiatives and oversee the delivery of high-impact professional services. This executive leadership role is heavily centered around relationship management, strategic consulting, and customer success, with a strong emphasis on executive-level client interaction. The ideal candidate is a strategic leader with a proven track record of building trusted client relationships, leading high-performing teams, and delivering measurable business value through professional services engagements. This individual will serve as a key advisor to clients while driving operational excellence, team development, and long-term customer success.Key Responsibilities Client Relationship Management • Serve as the primary executive point of contact for strategic client relationships • Build and maintain strong partnerships with senior stakeholders and decision-makers • Develop a deep understanding of client objectives, challenges, and business priorities • Proactively identify opportunities to enhance client outcomes and deliver additional value • Lead executive business reviews and strategic discussions to strengthen long-term partnerships • Ensure high levels of client satisfaction, retention, and engagement Customer Success & Strategic Consulting • Champion a customer-first mindset across the organization • Partner with clients to develop strategic solutions aligned with their evolving business needs • Provide guidance, insights, and thought leadership to support customer growth and success • Collaborate with internal teams to identify account expansion and service enhancement opportunities • Define and monitor customer success metrics, KPIs, and service performance indicators Leadership & Team Development • Lead and mentor a high-performing professional services team • Foster a collaborative, accountable, and customer-focused culture • Support employee growth through coaching, training, and professional development initiatives • Drive continuous improvement and innovation within the services organization Service Delivery & Operational Excellence • Oversee the successful execution of client engagements and service implementations • Ensure projects are delivered on time, within scope, and aligned with quality expectations • Establish and improve delivery methodologies, tools, and operational best practices • Manage budgets, resource planning, and operational performance to support scalability and profitability • Continuously evaluate and optimize processes to improve responsiveness and service qualityQualifications Required Experience • 10+ years of experience leading professional services, consulting, customer success, or client engagement teams • Proven experience managing enterprise-level client relationships and strategic accounts • Strong background in service delivery, business consulting, and customer-facing leadership roles • Experience leading cross-functional teams in fast-paced and evolving environments • Demonstrated success driving customer satisfaction, retention, and long-term growth Leadership & Business Skills • Strong executive presence with exceptional communication and interpersonal skills • Ability to influence and engage stakeholders at all organizational levels • Excellent strategic thinking, problem-solving, and decision-making capabilities • Strong operational and financial management experience • Ability to balance client expectations with business objectives and operational priorities Education • Bachelor’s degree in Business, Technology, Engineering, or a related field • Master’s degree or MBA is considered an asset Additional Requirements • Willingness to travel as needed for client and business engagements • Bilingual communication skills are considered an asset • Experience working within technology-driven or service-oriented organizations is preferred What We’re Looking For • A relationship-driven leader who thrives in client-facing environments • A strategic thinker with a strong customer success mindset • A collaborative executive who can inspire teams and build lasting partnerships • A results-oriented professional focused on delivering measurable business value

AI Solutions Developer – AI, Machine Learning & Automation Montreal, QuébecOverview Our client is seeking an AI Solutions Developer to help design, build, and deploy practical AI, machine learning, and automation solutions across a growing organization. This is a hands-on technical role focused on applying AI technologies to real business operations, including workflow automation, intelligent document processing, data-driven insights, and process optimization. The ideal candidate is a strong developer with experience in machine learning, systems integration, and automation technologies who enjoys solving operational problems using modern AI tools. This role offers exposure across the full solution lifecycle, from identifying opportunities and designing technical solutions to implementation, deployment, and continuous improvement.Key Responsibilities AI & Machine Learning Solutions • Design and develop AI-enabled applications and automation workflows • Build solutions for document processing, data extraction, summarization, and intelligent search • Support predictive models and AI-driven decision-support tools • Assist with model selection, deployment strategies, and systems integration • Develop scalable and maintainable AI/ML pipelines Technical Development • Build and maintain machine learning and AI solution components • Prepare datasets and support model training, testing, and optimization • Develop integrations using APIs and cloud-based services • Create proof-of-concept applications and prototype solutions • Monitor and improve deployed AI systems and model performance Automation & Process Improvement • Identify opportunities to automate manual or repetitive workflows • Implement AI-enabled automation solutions • Support operational efficiency and process optimization initiatives Collaboration & Best Practices • Work closely with cross-functional teams to understand business needs • Translate operational challenges into practical AI/ML solutions • Communicate technical concepts clearly to technical and non-technical stakeholders • Apply responsible AI and machine learning best practices • Maintain technical documentation and support ongoing enhancementsQualifications Required Experience • 3–6 years of experience in software development, AI, machine learning, or automation-related roles • Hands-on experience building applications, integrations, or technical solutions • Experience working with machine learning models and real-world datasets • Strong analytical, problem-solving, and communication skills • Ability to adapt quickly within evolving technical environments Technical Skills • Strong proficiency in Python • Experience with machine learning frameworks such as Scikit-learn, PyTorch, or TensorFlow • Experience with APIs, data pipelines, and systems integration • Familiarity with Microsoft Azure and cloud-based services • Understanding of structured and unstructured data processing • Exposure to LLMs, generative AI, NLP, or AI-assisted development tools is an asset Preferred Qualifications • Bachelor’s Degree in Computer Science, or related field • Experience building AI or ML solutions in production environments • Full-stack development experience is considered an asset Tools & Technologies • Python • Microsoft Azure • REST APIs • SQL • Power Automate or similar workflow automation tools • AI/ML frameworks and LLM platforms • Microsoft 365 ecosystem What We’re Looking For • Strong interest in applied AI and automation • Practical, solution-oriented mindset • Ability to work independently and collaboratively • Strong communication and stakeholder engagement skills • Passion for leveraging AI to solve real business challenges

Senior Data Scientist – AI, Machine Learning & Generative AI Montreal, QuébecOverview Our client is seeking a Senior Data Scientist to help develop and scale advanced AI solutions across machine learning, predictive analytics, generative AI, and intelligent automation initiatives. This is a senior individual contributor role focused on designing, deploying, and optimizing AI solutions that deliver measurable business value. The successful candidate will work on both existing production AI systems and the development of new AI-driven capabilities, partnering closely with engineering, product, and business stakeholders.Key Responsibilities AI & Machine Learning Development ● Design, build, and optimize machine learning models for forecasting, prediction, classification, and business analytics ● Perform data exploration, feature engineering, model evaluation, and performance monitoring ● Develop and maintain scalable AI and machine learning pipelines ● Evaluate and implement appropriate machine learning and AI techniques based on business needs ● Support the full model lifecycle from development through deployment and continuous improvement Generative AI & Intelligent Automation ● Develop AI-powered solutions utilizing Large Language Models (LLMs) ● Build and support retrieval-augmented generation (RAG), prompt engineering, and AI workflow solutions ● Evaluate emerging AI technologies and identify practical business applications ● Contribute to the development of intelligent automation and agent-based AI capabilities Production AI & Technical Leadership ● Support production AI systems and drive continuous improvements in performance and scalability ● Collaborate with software engineering, cloud, and data teams to deploy AI solutions into production environments ● Provide technical leadership through code reviews, knowledge sharing, and best practice guidance ● Ensure solutions align with responsible AI, security, and governance standards ● Translate complex business challenges into scalable AI solutionsQualifications Required Experience ● 5+ years of industry experience in Data Science, Machine Learning, Artificial Intelligence, or related fields ● Proven experience building and deploying machine learning solutions in production environments ● Hands-on experience with predictive modeling, machine learning frameworks, and data analysis ● Experience working with Generative AI, Large Language Models (LLMs), or AI-powered applications ● Strong problem-solving skills and ability to work independently on complex initiatives Technical Skills ● Advanced Python programming skills ● Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit learn, XGBoost, or similar ● Strong SQL and data analysis capabilities ● Experience with cloud platforms such as AWS and/or Azure ● Familiarity with APIs, MLOps practices, CI/CD, Docker, and model deployment processes ● Experience with AI frameworks, LLM tools, or agent-based AI solutions is an asset Preferred Qualifications ● Master's degree or PhD in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field ● Experience with forecasting, time-series analysis, or optimization models ● Exposure to computer vision, intelligent automation, or enterprise AI applications ● Experience working with large-scale data environments and production AI systems What We're Looking For ● A highly autonomous and technically strong Data Scientist who can own projects from concept to deployment ● Strong analytical and critical-thinking abilities ● Excellent communication and stakeholder management skills ● Passion for applied AI and solving real-world business problems ● A collaborative team player who thrives in fast-paced, evolving environments ● Commitment to continuous learning and innovation

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