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

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. 

You:

As a Senior Product Support Engineer at Feedzai, you will serve as the first point of contact for our customers, resolving the most complex and escalated pre-production and post-production technical issues within our cloud-based financial crime prevention platform. This role requires a strong technical foundation, problem-solving mindset, and customer-centric attitude to ensure that customer issues are addressed promptly and effectively.

You’ll be expected to take full ownership of customer incidents, mitigate urgent problems, escalate appropriately to our engineering teams, and follow through until complete resolution. This position involves analyzing complex technical issues across Feedzai’s products , their interaction with customers’ infrastructure, and communicating with stakeholders across all levels of seniority. We are looking for professionals with experience across L1, L2, and L3 support levels—or with the technical capability to operate across these levels.

Your Day to Day: 

• Serve as a technical expert on Feedzai’s products, resolving complex customer issues independently.
• Troubleshoot and resolve product and infrastructure-related issues in a 24/7 environment, adhering to established SLA timelines.
• Manage customer communications effectively, including conference calls and status updates to stakeholders.
• Clearly document and communicate issue root causes, impacts, and resolution steps to internal and external stakeholders.
• Escalate critical issues to the appropriate engineering teams and coordinate resolution efforts across multiple tiers of support.
• Serve as the primary technical liaison between Support and Engineering, driving root cause analysis (RCA) and ensuring efficient hand-offs for critical issues.
• Contribute to the continuous improvement of support documentation, including the creation of internal and external knowledge base articles.
• Translate customer feedback into actionable engineering requirements and collaborate with Engineering and Customer Success teams to prioritize enhancements.
• Regularly interact with internal tools and bug-fixing processes using Shell scripting, SQL, and/or Python.
• After 3–6 months, participate in the on-call rotation for handling high-priority issues during weekends (approximately one weekend every three weeks), with additional compensation.
• Serve as a mentor and escalation point for L1  support staff, providing technical guidance and peer review for incident resolution.
  
  

You Have & You Know-how: 

• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent professional experience.
• 4–7 years of experience in a technical support, product support, or engineering role.
• Excellent written and verbal communication skills in English, with the ability to produce clear, professional customer-facing documentation (e.g., Root Cause Analysis reports).
• Ability to work autonomously in a fast-paced, dynamic environment.
• Strong technical foundation, with a solid understanding of programming concepts (development experience is a plus, but not required).
• Familiarity with UNIX/Linux systems.
• Understanding of Object-Oriented Programming principles (experience with Java is preferred).
• Hands-on experience with development tools such as Git, IDEs, and related utilities.
• Experience with databases, particularly Cassandra and SQL.
• Knowledge of distributed systems, high-availability architectures, and web technologies (especially REST APIs).
• Familiarity with cloud platforms such as AWS or GCP.
• Exposure to messaging systems like RabbitMQ or Kafka, and coordination tools such as Zookeeper.

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