We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

We are looking to speak to candidates who are based in Kuala Lumpur, Malaysia for our hybrid working model.

As an ideal candidate, you will have:

• 8 to 11 years of related industry experience, ideally 3 years of experience in a customer facing role
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership 
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• A Bachelor’s degree or equivalent work experience 
• Must have fluency in English in addition to one of the following: Mandarin, Bahasa Indonesia, Japanese, Thai.

You may also have:

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

This role will be based remotely in Kuala Lumpur, Malaysia.

As an ideal candidate, you will have

• 8 to 11  years of related industry experience, ideally 5-7 years of experience in a customer facing role
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership 
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• A Bachelor’s degree or equivalent work experience 
• Must have fluency in Mandarin language both verbal and written

You may also have

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273408586

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

This role will be based remotely in Kuala Lumpur, Malaysia.

As an ideal candidate, you will have:

• 5 to 8  years of related industry experience, ideally 2 years of experience in a customer facing role
• Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience implementing scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership 
• Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
• A Bachelor’s degree or equivalent work experience 
• Must have fluency in Mandarin language both verbal and written

You may also have:

• Experience developing, deploying, or supporting applications with any of the major cloud providers 
• Experience working in a technical pre-sales capacity 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing? 

• Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players.
• In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business

What are we looking for? 

• You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting.
• Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism.
• We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis.
• You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…).

Artefact is the place to be: come and build the future of data and marketing!
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. You will partner with Customer Success Engineers (CSEs) and Account Executives (AEs) to drive customer outcomes across security-related products and use cases within the Veeam Data Platform (VDP). You’ll lead readiness checks, data modeling, and risk conversations with CISO/CIO stakeholders, while monitoring telemetry and maturity against the Veeam Data Resilience Maturity Model (DRMM) to optimize posture and identify expansion opportunities.  

What You’ll Do

• Engage customers on security-related products, architectures, and risk topics across the Veeam Data Platform (VDP).
• Run readiness checks and lead data modeling to validate solution design and accelerate decisions.
• Monitor attack surfaces and vulnerabilities (including DRMM scoring), track telemetry or recurring inspection signals, report trends, and capture potential health checks.
• Validate designs to de-risk adoption and accelerate time to value.
• Identify and articulate expansion opportunities; review consumption trends and schedule checkpoint reviews (with or without AE coordination).
• Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and CSE-led QBRs.
• Support AEs on security- and AI-driven expansion motions; influence roadmap priorities with CSE counterparts.
• Operate as a pooled resource covering Enterprise and Commercial-Named accounts (generally $100K+ ARR), typically at a 1 Security Success Engineer to 6–8 CSE coverage ratio.
• Note: Not the primary owner for Onboarding motions nor directly responsible for Renewals

What You’ll Bring

• 5+ years of experience in engineering architecture for cybersecurity-related products (e.g., Security Engineer/Architect, Cloud Solution Architect, MLOps/ML Engineer).
• Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree is a plus.
• Relevant certifications (e.g., CompTIA Security+, CISSP, or equivalent).
• Expertise in data security and governance, including DSPM/DLP; familiarity with AI/ML architectures.
• Demonstrated ability to engage CISO/CIO stakeholders on risk, resilience, and modernization roadmaps.
• Hands-on experience with solution design, POCs, telemetry monitoring, and maturity modeling (DRMM familiarity is a plus).
• Strong communication, stakeholder management, and cross-functional collaboration skills.
• VMCE certification (can be completed after joining)

What You’ll Get 

• 15–21 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical insurance for employees and eligible dependents, including hospital and surgical coverage, outpatient care, and mental health support
• Dental insurance for employees and dependents
• Life and personal accident insurance, including accidental death, disability, critical illness, and terminal illness
• Annual flexible spending allowance for health and wellbeing expenses
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-LW3

Role Summary

KINESSO is currently seeking a highly motivated, detail-oriented Senior Data Engineer to fill an immediate need. This individual will work with the technical team and internal clients to understand and analyze requirements to build and support data initiatives. The candidate will have experience designing and developing highly scalable data solutions with a strong understanding of the Data Engineering operating environments. This role requires an individual who has a passion for technology and media and is looking to apply this to further their experience in real-world business scenarios.

Key Responsibilities

• Guide and drive discussions, support decision-making in processes and solutions, and mentor in discussions.
• Oversee and deliver complex core practice tasks and guide others effectively.
• Develop and advocate for new best practices and optimize existing processes.
• Take ownership of documentation for assigned areas, ensuring completeness, consistency, and clarity.
• Champion compliance and standards, drive adherence, and resolve issues.
• Drive and support team collaboration by coordinating efforts and fostering strong team dynamics.
• Work closely with technical leads to ensure alignment on goals and technical solutions.
• Mentor and develop mid-level and junior engineers, providing technical guidance.

Requirements

• Bachelor’s degree in computer science
• 5-7 years of progressive software engineering experience
• 5+ years of experience with Python, JavaScript and SQL
• 5+ years of experience with AWS cloud ecosystem
• 5+ years of experience with any MPP database technology
• 3+ years of experience with big data processing frameworks
• Experience with agile methodologies is highly desirable
• Experience in the modern data stack is highly desirable:
  • Warehouse/Lakehouse: Snowflake, Databricks, AWS Redshift
  • Orchestration/Pipelines: Airflow, Dagster, Kestra
  • Transformation/Modelling: DBT, Star Schema, Data Vault
  • Observability/Analytics: DataDog, Tableau, AWS QuickSight
  • CI/CD: Jenkins, GitHub, Terraform, Docker, Kubernetes
• Exposure to AI/ML concepts
• Proficient in managing time, prioritizing tasks, and meeting deadlines
• Drive team collaboration, align team goals, and maintain a positive team dynamic
• Excel in hybrid working environments, fostering team collaboration across diverse settings
• Strong communicator, adept at influencing decisions, and mentoring
• Experienced in data privacy, security, and compliance standards
• Able to stay ahead of the curve with new and emerging technologies
• Experience in ad tech is a strong plus

Personal Attributes

• Proficient in English as a first language – both verbal & written
• Excellent communication skills with the ability to effectively interact with non-technical users.
• The ability to consistently deliver solid, successful solutions in short development cycles.
• A strong spirit of innovation, self-starter, independent, and with the ability to come up with solutions to meet business problems.
• Result driven, high enthusiasm and can work well with others.
• Strong desire to learn new things and pass knowledge acquired onto others.
• Able to manage own hours and work with a remote team environment.

About Us 

Kinesso, the Marketing Engine of IPG, is focused on creating data-driven solutions through enhanced or newly created products and services, maximizing the impact of traditional and addressable media. Kinesso’s core principle is to drive smarter business decisions and better outcomes for clients using our suite of data and technology services. 

Powered by Acxiom, IPG’s foundational data and technology layer, the company will provide comprehensive data-driven marketing capabilities to clients, as well as act as a trusted data management partner to brands. 

Designed for flexibility and speed, Kinesso’ offerings are structured to improve media and marketing performance with an emphasis on accuracy, agility and effectiveness. Our open architecture approach is powered with the right combination of creative and data, activated with flexibility and measured with precision. 

About Capco

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services and energy industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

We are experts in Banking, Capital Markets, Wealth and Asset Management. We specialise in Digital Transformation, Data Management & Data Analytics, Business & Finance Transformation engagements, and IT transformation and Change programs.

We are committed to growing our business and hiring the best talent in the market. Our focus is on maintaining our agile and entrepreneurial culture.

Role Overview

We are looking for an innovative and experienced Agentic AI Specialist with expertise in GitHub Copilot, large language models (LLMs) and agent-based modelling to join our forward-thinking team. The ideal candidate will have a deep understanding of AI-driven development tools, natural language processing, and the ability to integrate these technologies to enhance productivity and efficiency in software development processes.

Key Responsibilities

• AI Integration and Optimization:
  • Leverage GitHub Copilot and other AI-driven tools to enhance coding efficiency and accuracy.
  • Integrate large language models (LLMs) into existing workflows to automate and improve development processes.
• Development and Implementation:
  • Develop and implement AI solutions that assist in code generation, debugging, and documentation.
  • Collaborate with development teams to identify and address areas where AI can improve productivity and quality.
• Research and Innovation:
  • Stay abreast of the latest advancements in AI, machine learning, and natural language processing.
  • Conduct research to explore new applications of LLMs and AI tools in software development.
• Training and Support:
  • Provide training and support to development teams on the effective use of GitHub Copilot and other AI tools.
  • Develop documentation and best practices for integrating AI tools into the development lifecycle.
• Collaboration and Communication:
  • Work closely with cross-functional teams to understand their needs and provide tailored AI solutions.
  • Communicate complex AI concepts and solutions to non-technical stakeholders.
• Security and Compliance:
  • Ensure that all AI solutions comply with security and regulatory requirements.
  • Implement best practices for data privacy and security in AI-driven development processes.

Key Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in AI, machine learning, or related roles.
• Proven track record of integrating AI tools into software development processes.
• Proficient in programming languages such as Python, JavaScript, or similar.
• Extensive experience with GitHub Copilot and other AI-driven development tools.
• Strong understanding of large language models (LLMs) and their applications.
• Familiarity with natural language processing (NLP) techniques and tools.
• Familiarity with agile methodologies and DevOps practices.

Analytics Intern (Bachelors) — Analytics Delivery Team (Malaysia Data Hub)  

Company: WPP Media  

 
Team: Analytics Delivery Team — Malaysia Data Hub  

 
Location: Malaysia (Hybrid/Onsite as per business need)  

 
Internship Type: Internship (Full-time preferred)  

 
Duration: Minimum 5–6 months  

About the Role  

WPP Media’s Analytics Delivery Team (Malaysia Data Hub) is looking for a Masters-level Analytics Intern to support reporting, dashboarding, and insight generation for business and media stakeholders. This is a hands-on role where you will build and improve Power BI dashboards, write SQL queries for data extraction/validation, and automate workflows using Python.  

Key Responsibilities  

• Build and enhance Power BI dashboards (DAX measures, data modeling, visuals, drill-throughs, performance optimization)  

• Write and optimize SQL queries to extract, validate, and transform data from multiple sources  

• Support analytics delivery by converting business needs into clear KPIs, reporting views, and insights  

• Use Python to automate data preparation, reporting workflows, and analysis tasks  

• Assist with data quality checks, reconciliation, and anomaly detection  

• Maintain documentation for dashboards, KPI logic, data definitions, and solution workflows  

• Collaborate with analysts, data engineers, and stakeholders in an agile delivery environment  

Required Skills (Must-have)  

• Strong Power BI experience (Power Query, DAX, data modeling, best-practice visual design)  

• Strong SQL skills (joins, aggregations, window functions, troubleshooting data issues)  

• Strong Python skills for data analysis/automation (Pandas, NumPy, scripting)  

• Good understanding of analytics concepts: KPIs, trends, segmentation, reporting logic  

• Strong attention to detail and ability to explain insights clearly to stakeholders  

Good to Have (Nice-to-have / Optional)  

• Experience with Google Cloud Platform (GCP)  

• Exposure to BigQuery (querying large datasets, optimization)  

• Familiarity with data pipelines / ELT tools (e.g., dbt, Airflow, etc.)  

• Exposure to AI/ML concepts (forecasting, classification, LLM-based analytics workflows)  

• Knowledge of digital/media metrics is a plus (campaign performance, audience analytics)  

Qualifications  

• Currently pursuing a Bachelors in Analytics / Data Science / Statistics / Computer Science / Engineering / Business Analytics (or similar)  

• Strong analytical mindset with problem-solving ability  

• Ability to manage tasks independently, meet deadlines, and work collaboratively  

What You’ll Gain  

• Real-world experience delivering analytics solutions in a global media organization  

• Mentorship from experienced analytics professionals  

• Opportunity to contribute to production dashboards and measurable business outcomes  

• Exposure to modern cloud analytics stack (depending on project requirements)  

#L1-Promoted

About the Role

As a Full-Stack Developer / AI Design-to-Dev, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias toward frontend development, you specialize in the critical early stages—from concept through pre-totype to prototype—where design systems meet AI-augmented development. You're an expert at leveraging tools like v0.dev, bolt.new, and Lovable to rapidly generate components, then building out the complete stack to meet enterprise standards for accessibility, performance, responsive design, and scalability. You must be able to think fast, work outside the box, and have a passion for pushing the boundaries of what AI can achieve. You will join a team that thrives on experimentation, moving at a rapid pace from initial concepts through prototypes to production-ready applications.

Key Responsibilities

• Rapidly transform concepts into interactive prototypes using v0.dev, bolt.new, Lovable, and similar AI design tools.
• Build full-stack applications from prototype to production, with emphasis on frontend excellence and solid backend foundations.
• Ensure all components align with existing design systems (design tokens, color palettes, typography, spacing) and brand guidelines.
• Develop production-ready UI components using modern frameworks (React.js, Vue.js, Nuxt.js) with best practices for accessibility, performance, and responsive design.
• Design and implement RESTful APIs and backend services using platforms like Supabase to support frontend functionality.
• Work with databases (SQL and NoSQL) to manage application data efficiently.
• Implement authentication, caching strategies, and optimize application performance across the stack.
• Collaborate with UX Designers, AI Builders, and Innovation Leads throughout the development lifecycle.
• Leverage Figma and design system tooling to maintain component libraries and streamline design-dev handoff.
• Document design decisions and technical implementation in Jira as part of the ticket-driven workflow.

Qualification

• 2+ years in full-stack development with strong frontend expertise in modern UI frameworks (React.js, Vue.js, Nuxt.js). Bonus points if you have experience working in a startup or rapid prototyping environment.
• Desired experience with NodeJS and Express.
• Proven hands-on experience with AI design tools such as v0.dev, bolt.new, Lovable, or similar platforms.
• Experience with workflow automation platforms such as N8N.
• Strong track record of delivering production-grade full-stack applications.
• Solid understanding of backend development, including API design (REST, GraphQL), server-side logic, and database management.
• Experience with platforms like Supabase for rapid backend development and both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.
• Deep understanding of design systems, design tokens, and component-driven development.
• Expert-level proficiency with Figma, including design system management and component libraries.
• Experience with CSS frameworks (e.g. TailwindCSS) and modern styling approaches.
• Strong collaboration and creative problem-solving skills.
• Experience with TypeScript and modern JavaScript/ES6+ features.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deployment workflows.
• A portfolio showcasing full-stack applications you've built, including work with design systems and AI design tools.

What Appnovation Offers

• Challenging and rewarding work with real impact
• Growth opportunities for personal and professional development
• Exposure to exciting projects and high-profile clients
• Supportive work environment with access to company leaders.

What Benefits Appnovation Has to Offer 
● EPF
● Wellness Allowance
● ME Days
● Employee Assistance Programme