So, what’s the role all about?

As a rapidly growing business, we are further expanding the team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and much more to clients across the globe.

Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.

How will you make an impact?

• Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
• Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
• Train team members, partners, and clients on the available data structures and reporting tools.
• Conduct research and perform data analysis to identify root causes of issues, assess impact, and uncover anomalies or inconsistencies within the data.
• Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and produce insightful reports and dashboards.
• Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
• Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
• Support data governance efforts by documenting processes, maintaining a knowledge base, and contributing to data security best practices.
• Understand, propose, improve, implement processes (what processes? Very vague)
• Write efficient and optimized SQL and scripts to extract, transform, analyze, and present data in meaningful formats.
• Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
• Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
• Provide on-call support to global customers
• And other responsibilities

Have you got what it takes?

Basic Qualifications:

• 6+ years experience in a consulting / data engineering / professional services role
• 3+ years experience in senior/leadership roles
• Ability to influence stakeholders and customers on project management and related topics.
• Experience working with databases (relational and non-relational) at scale (ex: MySQL, Redshift, PostgreSQL, MongoDB, Redis, Cassandra, etc.)
• Experience working with data warehouses and data lakes, including the associated ETL, reporting and data visualization tools (example: Looker, Power BI, Tableau, etc.)
• Experience writing complex queries (SQL/NoSQL)
• Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex)
• Expert understanding of Professional Services Project Management Policies and Processes
• Develop processes and process improvements to ensure high-quality and cost effectiveness
• Excel in the ability to identify areas of concern based on documentation based on product knowledge, the needs of the stakeholders/customer, and other factors
• Analytical mindset with excellent problem-solving and troubleshooting skills.
• Willingness and enthusiasm to learn complex AI-driven platforms and tools.
• Ability to successfully work in a team-oriented, highly collaborative environment
• Ability to clearly communicate and present to stakeholders (internal and external)
• Amenable to work shifting schedules

Nice to Have:

• Familiarity with AI/ML-driven data solutions, or interest in learning.
• Experience working in cloud environments (Example: Azure, AWS, or GCP).
• Exposure to Python, R, or other scripting languages for data analysis.
• Understanding of data privacy, security, and governance frameworks.

Requisition ID: 9104

Reporting into: Manager, Professional Services
Role Type: Individual Contributor

So, what’s the role all about?

The Professional Services Engineer is a customer-facing, billable role responsible for delivering specialized expertise and solutions for NICE products and services. This includes implementing, configuring, and optimizing AI-driven applications, such as chatbots, knowledge assistants, and other CXone digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions.

As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.  

Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.

How will you make an impact?

• Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
• Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
• Collaborate with clients to understand their business requirements, workflows, and data needs, translating these into effective BI solutions.
• Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and build data-driven solutions.
• Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
• Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
• Create and maintain technical documentation including data models, system architecture, and implementation guides for clients and internal teams and support data governance efforts by documenting processes, maintaining knowledge bases, and contributing to data security best practices.
• Write efficient and optimized SQL and query language scripts to extract, transform, analyze, and present data in meaningful formats.
• Troubleshoot and resolve technical issues related to BI tools, data pipelines, and system integrations during the implementation process.
• Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
• Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
• Ensure the delivery of BI solutions on time, within scope, and within budget while maintaining high-quality standards.
• Share expertise and foster a collaborative work environment.
• Provide on-call support to global customers.

Have you got what it takes?

• 3+ years experience in a consulting / data engineering / professional services role.
• Experience in working with databases (relational and non-relational) at scale (ex: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, etc.).
• Experience in working with data warehouse, data lakes, and the associated ETL and reporting tools (example: Looker, Power BI, Tableau, Redshift, etc.).
• Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex).
• Proven experience with Query Languages (SQL/NoSQL), data visualization tools (e.g., Power BI, Tableau, or Looker), and report/dashboard development.
• Analytical mindset with excellent problem-solving and troubleshooting skills.
• Willingness and enthusiasm to learn complex AI-driven platforms and tools.
• Ability to successfully work in a team-oriented, highly collaborative environment.
• Ability to clearly communicate and present to stakeholders (internal and external).
• Amenable to work shifting schedules & Hybrid (2x onsite).

Nice to have:

• Familiarity with AI/ML-driven data solutions, or interest in learning.
• Experience working in cloud environments (Example: Azure, AWS, or GCP).
• Exposure to Python, R, or other scripting languages for data analysis.
• Understanding of data privacy, security, and governance frameworks.

Requisition ID: 9424

Reporting into: Manager, Professional Services
Role Type: Individual Contributor

Who we are:

Acqueon's conversational engagement software lets customer-centric brands orchestrate campaigns and proactively engage with consumers using voice, messaging, and email channels. Acqueon leverages a rich data platform, statistical and predictive models, and intelligent workflows to let enterprises maximize the potential of every customer conversation. Acqueon is trusted by 200 clients across industries to increase sales, drive proactive service, improve collections, and develop loyalty.

At our core, Acqueon is a customer-centric company with a burning desire (backed by asuite of awesome, AI-powered technology) to help businesses provide friction-free, delightful, and referral-worthy customer experiences.

For NOC Engineers, Acqueon offers a dynamic environment focused on 24/7 infrastructure and application monitoring, incident response, service reliability, and continuous improvement. Engineers work with enterprise-scale systems, ensuring uptime, optimizing performance, and maintaining strict SLA and compliance standards in a fast-paced SaaS ecosystem.

Key Responsibilities

• Ensure high availability and maximum uptime in SaaS environments by proactively monitoring and managing infrastructure, applications, and network systems using tools like Zabbix, Grafana, Prometheus, Sumo Logic, and Amazon CloudWatch.
• Proactively identify anomalies, threshold breaches, and performance bottlenecks to prevent potential incidents.
• Respond to alerts and incidents in real time, perform initial triage and troubleshooting across Windows/Linux servers, applications, and network components, validate service health (APIs/endpoints), and escalate complex issues with detailed analysis.
• Validate application availability through endpoint checks, API monitoring, and service health verification.
• Execute routine operations including system health checks, patching, maintenance, backups, and disaster recovery using cloud-native tools (e.g., AWS Backup, S3, RDS), while also monitoring resource utilization and supporting cost optimization initiatives
• Contribute to the creation, review, and continuous improvement of SOPs, runbooks, and knowledge base articles.
• Participate in Change Management and Change Control processes by implementing approved changes, validating deployments, and minimizing risk to production systems.
• Maintain accurate records in ticketing systems, ensuring proper documentation aligned with ITIL processes and audit requirements
• Participate in shift handovers, ensuring clear communication of ongoing incidents, system status, and pending actions
• Ensure strict adherence to SLAs, operational processes, security guidelines, and compliance standards

Required Qualifications

• Associate’s or Bachelor’s degree in Information Technology, Networking, or a related field (or equivalent practical experience)
• 2–5 years of experience in a NOC, Cloud Operations, or Network Support environment
• Solid understanding of networking fundamentals, including TCP/IP, DNS, DHCP, and VPN concepts
• Strong knowledge of operating systems, particularly Linux and Windows environments
• Hands-on experience or familiarity with monitoring and observability tools such as Zabbix, Grafana, Prometheus, Sumo Logic, Datadog, ELK stack … etc.
• Good understanding of ITIL practices (Incident, Change, and Problem Management) in an operations environment
• Experience troubleshooting SaaS application performance, system reliability, and cloud-based service disruptions.
• Basic scripting knowledge (Shell or Python) is an advantage for automation and operational efficiency
• Willingness to work in a 24/7 shift-based support model
• Effective communication and documentation skills for incident reporting, escalations, and knowledge sharing

Preferred Qualifications:

• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer).
• Experience with hybrid cloud environments and on-premises-to-cloud migrations.
• Familiarity with other cloud platforms like Azure or GCP.
• Knowledge of database management (e.g., RDS, DynamoDB) and caching solutions (e.g., Redis, ElastiCache).

Company Benefits

• Company stocks
• Annual merit increase based on performance
• 15% night shift differential pay
• Paid Leave with Cash Conversion
• HMO with free dependents
• Retirement Plan
• Life Insurance
• While on work from home setup: Internet and meal allowance are provided
• Employee Assistance Program for mental and social well-being
• Government-mandated Benefits (SSS, PhilHealth, PagIBIG, 13^th month pay, Solo parent leave, Special leave for women)