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

Job Title: Lead Quality Engineer – Automation 

About InfoTrust

InfoTrust is a global, privately-owned consulting and solutions agency dedicated to unlocking the power of data to drive marketing performance and business growth. We specialize in digital analytics, media enablement, and privacy-centric solutions that help the world’s largest brands optimize their marketing strategies. Our culture is built on passion, ownership, diversity, trust, respect, and continuous growth—values that have earned us multiple "best places to work" awards, including a Great Place to Work certification and recognition as the #1 place to work in Ohio. 

About the Role

InfoTrust is seeking a Lead Quality Engineer – Automation to build and scale our quality engineering function from the ground up. As our first QA/QE hire in India, you will define automation strategy, establish best practices, and implement scalable testing frameworks that ensure the reliability, performance, and integrity of our SaaS solutions.

This is a high-impact, highly autonomous role. You won’t just execute tests—you will shape how quality is built into our engineering culture.

If you thrive in ownership, enjoy solving complex technical challenges, and want to build something foundational, this role is for you.

What You’ll Do

Build & Lead Automation Strategy

• Design, develop, and maintain scalable automation frameworks for functional, regression, API, and performance testing.
• Establish QA best practices, standards, and processes across teams.
• Drive automation-first quality strategy and continuously improve test coverage and reliability.

Engineering & Technical Execution

• Develop automated test suites using tools such as Selenium, PyTest, Cypress, Playwright, or similar.
• Integrate automated testing into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).
• Perform API testing using tools such as Postman, REST Assured, or equivalent frameworks.
• Validate and query data across SQL and NoSQL databases to support test scenarios and troubleshooting.
• Partner with engineering teams to ensure quality across microservices and cloud-native architectures (AWS, Azure, or GCP).

Collaboration & Quality Advocacy

• Collaborate closely with Product, Engineering, and DevOps to embed quality throughout the SDLC.
• Advocate for testability, observability, and continuous improvement.
• Identify risks early and drive proactive solutions.

You could be a great fit if:

• You have 3+ years of experience in test automation for web, API, or cloud-based systems. 
• You have proficiency in one or more programming languages, such as Python, Java, or JavaScript. 
• You have experience with cloud platforms (AWS, Azure, or GCP). 
• You have a strong understanding of databases (PostgreSQL, MySQL, MongoDB, or similar) and the ability to write SQL. 
• You have hands-on experience with CI/CD tools and version control (Git). 
• You have a solid understanding of software testing principles, QA methodologies, and SDLC. 
• You possess strong analytical and problem-solving skills. 
• You have excellent communication and teamwork abilities. 
• You have strong attention to detail with a passion for continuous improvement. 

Bonus:

• You have a Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience with containerization and orchestration (Docker, Kubernetes). 
• Familiarity with infrastructure as code and test environments in the cloud. 
• Exposure to performance testing tools (e.g., JMeter, Locust). 
• Knowledge of observability and monitoring tools (e.g., Datadog, Prometheus). 

You shouldn’t apply if:

• You prefer structured environments with predefined test plans rather than building strategy and frameworks independently.

• You are primarily focused on manual testing.

• You are uncomfortable working in a growing organization where processes are still evolving.

Why work here?

At InfoTrust, employees are deeply connected to our core values and have the opportunity to make a meaningful impact and be their best selves everyday.  Our Core Values include:

• Earn Trust: Deliver on what you promise. 
• Be Respectful: Don't be an a**hole.
• Promote Diversity: Seek understanding and be inclusive. 
• Take Ownership: There is no "they.” Take initiative.
• Grow Every Day: Learn and apply. 
• Contribute With Passion: Desire to do good. Give to grow. 

At InfoTrust, we believe our success is someone else’s miracle. Giving back to the communities in which our team members live and work is a key part of who we are;  we made this “official” with the formation of the InfoTrust Foundation, a registered 501(c)(3) nonprofit organization. Learn more here. 

Diversity is one of our six core values at InfoTrust. InfoTrust is committed to a diverse workforce and we are an equal opportunity employer. We aim to hire strong, diverse teams built from different backgrounds, experiences, and identities. We are building an inclusive, supportive place for you to do the best work of your career. Job descriptions are not perfect, and we know you may not check every box. Studies have shown that women and people of color are less likely to apply for jobs unless they meet every single qualification. Don’t let that be you—apply if you are interested!