Automation Developer

MiQ; Manila; On-site; PHP 800,000 - 1,100,000; Full time

Benefits offered by this job

Flexible collaboration hours

Job summary

MiQ seeks an Automation Developer to turn AI and automation ideas into practical, measurable projects. YouTranslate concepts into actionable work, collaborate across Product, Analytics, and Trading teams to map roadmaps, and monitor ROI while delivering high-quality solutions.

The role emphasizes delivering ML-based tools, documenting processes, and training teams, with geo-flex hours to support global collaboration.

Qualifications

• Passionate about data, analytics and technology.
• Translate non-technical needs into technical specifications.
• Effectively communicates technical information to team members with diverse technical backgrounds.
• 3+ years of experience in automation, AI/ML, or software development roles, with a demonstrated ability to improve processes and business outcomes.
• Hands-on experience with Zapier for creating complex, multi-step workflows that streamline data and processes.
• Practical knowledge of OpenAI (GPT models) or similar frameworks, including prompt engineering and fine-tuning for accurate, scalable AI solutions.
• Familiarity with knowledge management/search platforms (e.g., Glean) and ability to customize or integrate them with other systems.
• Data analysis skills to evaluate success metrics, validate AI outputs, and ensure continuous improvement in automation performance.
• Version control expertise (e.g., Git) and basic understanding of deployment best practices (CI/CD, containerization) to ensure robust, maintainable code.
• Experience collaborating with cross-functional teams, including non-technical stakeholders, to translate automation ideas into actionable plans.
• Strong problem-solving and debugging abilities, coupled with attention to detail for ensuring high-quality, reliable AI and automation outputs.
• Clear communication skills that facilitate knowledge sharing, documentation, and training for end users adopting new automated solutions.
• Hands-on proficiency with Zapier, including the ability to build and maintain multi-step workflows that streamline data and processes across multiple platforms.
• Experience with knowledge management/search platforms, enabling teams to better organize, find, and utilize information effectively.
• Solid project management skills, capable of coordinating timelines, resources, and stakeholder expectations for successful project delivery.
• Strong cross-functional communication, adept at collaborating with both technical and non-technical stakeholders to align project objectives and outcomes.

Responsibilities

• In the role you will be accountable for, but not limited to, the following:
• Delivery: Quickly and accurately translate proposed AI/automation ideas into practical solutions with measurable impact (e.g., cost savings, time reductions).
• Delivery: Streamline existing processes by identifying bottlenecks and recommending improvements that enhance speed, accuracy, and cost-efficiency.
• Delivery: Implementation of ML-based reporting, insights, or optimization tools.
• Delivery: Partner with internal teams to map out current processes, documenting opportunities for immediate fixes and longer-term enhancements.
• Delivery: Collaborate with data and analytics experts to monitor key metrics, track ROI, and inform future automation strategies.
• Delivery: Accomplishing tasks on time and to a high quality, managing different deadlines and priorities.
• Project Management: Lead the implementation of AI/automation initiatives generated by various business stakeholders, ensuring on-time and on-budget project delivery.
• Project Management: Collaborate with cross-functional teams to translate automation ideas into well-defined project roadmaps and measurable outcomes.
• Project Management: Conduct feasibility assessments to confirm project viability and resource requirements for each automation initiative.
• Project Management: Oversee testing and validation of new tools or processes before full-scale deployment, ensuring minimal disruption to existing workflows.
• Project Management: Staying focused and contributing to projects. Organizing stakeholders and multiple milestones.
• Internal Collaboration: Work closely with cross-functional team leads, which will provide continuous ideas for new AI-enabled features, systems, and workflows.
• Internal Collaboration: Maintain regular communication with senior leadership to report on project milestones, challenges, and successes, proactively recommending course corrections as needed.
• Internal Collaboration: Facilitate training and knowledge transfer with global and regional teams, ensuring all stakeholders understand the benefits, usage, and maintenance of new automated systems.
• Internal Collaboration: Staying focused and contributing to projects. Organizing stakeholders and multiple milestones.
• Communication: Develop and deliver training programs for the teams who will use or oversee the newly implemented tools, focusing on best practices and efficient adoption.
• Communication: Oversee the creation of technical documentation and “how-to” guides to support internal rollouts and updates to automation processes.
• Communication: Organize workshops or demo sessions to showcase project wins and gather feedback for continuous improvement.
• Communication: Crisp and clear communication to external partners/clients or internal stakeholders; flexing communication style to persuade others and influence positive outcomes
• Communication: Rolling out or enhancing integrations with external partners/platforms for seamless data exchange.
• Communication: Increase organizational efficiency by minimizing manual tasks and improving data-driven decision-making throughout the campaign life cycle.
• Communication: Gather feedback from end-users and stakeholders to refine solutions, guiding subsequent enhancements and fostering a culture of innovation.
• Communication: Acting with curiosity. Finds new and better ways of working, then applies or implements solutions to unarticulated needs, new or existing market requirements. Open to receiving and trying new ideas, processes or ways of working.

Skills

Data analytics

Translate requirements to specs

Team communication

Automation/AI/ML experience

Zapier workflows

OpenAI prompt engineering

Knowledge management familiarity

Data-driven decision making

Git and CI/CD basics

Cross-functional collaboration

Problem solving & debugging

Documentation & training

Tools

Zapier

OpenAI GPT models

Glean

Git

CI/CD tools

Containerization

Job description

The Automation Developer will play a pivotal role in advancing our operational intelligence by executing innovative solutions. While other team members will identify and ideate AI or automation opportunities, you will focus on translating these concepts into actionable projects.

By leveraging new technologies, optimizing processes, and collaborating across multiple departments, you will ensure that we capitalize on automation and AI to deliver value more efficiently. This role is critical to moving our organization closer to a future where data-driven tools and processes drive increased revenue, productivity, and client satisfaction.

The role may require geo-flex hours from time to time to support collaboration with global and regional teams, accommodate business needs, and ensure effective project delivery.

WHO YOU ARE

We love different personalities at MiQ and strive to build teams constructed with diverse backgrounds and inclusive points of view. That said, we firmly believe that our values bring us together and we look for people who align with our values below.

• Passion – We love and live what we do.
• Determination – We always find a way to ‘figure it out’.
• Unity – We hold each other accountable. We win and lose as a team.
• Agility – We anticipate the unexpected, embrace and adapt to change.
• Courage – We dare to think unconventionally.

WHAT YOU’LL BE DOING

In the role you will be accountable for, but not limited to, the following:

Delivery

• Quickly and accurately translate proposed AI/automation ideas into practical solutions with measurable impact (e.g., cost savings, time reductions).
• Streamline existing processes by identifying bottlenecks and recommending improvements that enhance speed, accuracy, and cost-efficiency.
• Implementation of ML-based reporting, insights, or optimization tools.
• Partner with internal teams to map out current processes, documenting opportunities for immediate fixes and longer-term enhancements.
• Collaborate with data and analytics experts to monitor key metrics, track ROI, and inform future automation strategies.
• Accomplishing tasks on time and to a high quality, managing different deadlines and priorities.

Project Management

• Lead the implementation of AI/automation initiatives generated by various business stakeholders, ensuring on-time and on-budget project delivery.
• Collaborate with cross-functional teams (e.g., Product, Analytics, Account Management, Trading) to translate automation ideas into well-defined project roadmaps and measurable outcomes.
• Conduct feasibility assessments to confirm project viability and resource requirements for each automation initiative.
• Oversee testing and validation of new tools or processes before full-scale deployment, ensuring minimal disruption to existing workflows.
• Staying focused and contributing to projects. Organizing stakeholders and multiple milestones

Internal Collaboration

• Work closely with cross-functional team leads, which will provide continuous ideas for new AI-enabled features, systems, and workflows.
• Maintain regular communication with senior leadership to report on project milestones, challenges, and successes, proactively recommending course corrections as needed.
• Facilitate training and knowledge transfer with global and regional teams, ensuring all stakeholders understand the benefits, usage, and maintenance of new automated systems.
• Staying focused and contributing to projects. Organizing stakeholders and multiple milestones

Communication

• Develop and deliver training programs for the teams who will use or oversee the newly implemented tools, focusing on best practices and efficient adoption.
• Oversee the creation of technical documentation and “how-to” guides to support internal rollouts and updates to automation processes.
• Organize workshops or demo sessions to showcase project wins and gather feedback for continuous improvement.
• Crisp and clear communication to external partners/clients or internal stakeholders; flexing communication style to persuade others and influence positive outcomes
• Rolling out or enhancing integrations with external partners/platforms for seamless data exchange.
• Increase organizational efficiency by minimizing manual tasks and improving data-driven decision-making throughout the campaign life cycle.
• Gather feedback from end-users and stakeholders to refine solutions, guiding subsequent enhancements and fostering a culture of innovation.
• Acting with curiosity. Finds new and better ways of working, then applies or implements solutions to unarticulated needs, new or existing market requirements. Open to receiving and trying new ideas, processes or ways of working.

YOUR QUALIFICATIONS

REQUIRED EXPERIENCE:

• Passionate about data, analytics and technology
• Ability to translate non-technical needs into technical specifications
• Effectively communicates technical information to team members with diverse technical backgrounds.
• 3+ years of experience in automation, AI/ML, or software development roles, with a demonstrated ability to improve processes and business outcomes.
• Hands-on experience with Zapier for creating complex, multi-step workflows that streamline data and processes.
• Practical knowledge of OpenAI (GPT models) or similar frameworks, including prompt engineering and fine-tuning for accurate, scalable AI solutions.
• Familiarity with knowledge management/search platforms (e.g., Glean) and ability to customize or integrate them with other systems.
• Data analysis skills to evaluate success metrics, validate AI outputs, and ensure continuous improvement in automation performance.
• Version control expertise (e.g., Git) and basic understanding of deployment best practices (CI/CD, containerization) to ensure robust, maintainable code.
• Experience collaborating with cross-functional teams, including non-technical stakeholders, to translate automation ideas into actionable plans.
• Strong problem-solving and debugging abilities, coupled with attention to detail for ensuring high-quality, reliable AI and automation outputs.
• Clear communication skills that facilitate knowledge sharing, documentation, and training for end users adopting new automated solutions.
• Hands-on proficiency with Zapier, including the ability to build and maintain multi-step workflows that streamline data and processes across multiple platforms.
• Experience with knowledge management/search platforms, enabling teams to better organize, find, and utilize information effectively.
• Solid project management skills, capable of coordinating timelines, resources, and stakeholder expectations for successful project delivery.
• Strong cross-functional communication, adept at collaborating with both technical and non-technical stakeholders to align project objectives and outcomes.

WHO WE ARE

We’re MiQ, a programmatic media partner for marketers and agencies. We connect data from multiple sources to do interesting, exciting, business-problem-solving things for our clients. We’re experts in data science, analytics and programmatic trading, and we’re always ready to react and solve challenges quickly, to make sure our clients are always spending their media investments on the right things in the right places.

Our business keeps growing and our company keeps getting better because we keep hiring smart new people.

People who can challenge conventions and shake things up. People who want to connect with people all over the world to make great things happen. People who are as excited by the opportunities of programmatic marketing as us.

OUR COMMITMENT TO INCLUSION AND DIVERSITY

Inclusion and diversity are core values at MiQ. Ensuring that we have a workplace which is safe and comfortable for everyone and embraces different ideas, different positions, and different people from all backgrounds is critically important to us. We are looking for passionate and determined people to join our team.

If you are open to sharing a bit more about yourself we greatly appreciate people taking the time to self-identify through the EEOC section of the application. This information ensures that we are able to capture an accurate picture of our candidate pool, helping us to design and drive recruitment strategies to help us build a diverse workforce.

Completion of the form is voluntary. Whether you choose to complete it or not, your decision will not be considered in the hiring process or thereafter. Any information that you do provide will remain confidential.