Tech Lead (UniFi Drive)

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As technology cycles across APAC accelerate, Asia Sales has a strong opportunity to lead at the forefront of emerging innovations. This role is critical to harness early APAC technology signals and translate them into actionable BU roadmap inputs and sales-ready strategies - enabling the organization to proactively anticipate, shape, and monetize new opportunities together with BU ahead of market inflection points. Responsibilities: Emerging Technology Scouting - Identify and track new technologies and applications across APAC - Analyze gaps between global roadmaps and local market developments - Provide structured insights to Sales and BU leadership Ecosystem Engagement - Build connections with startups, system integrators, and key enablers - Act as a local interface for BU to access non-traditional ecosystem players - Facilitate technical and business introductions BU Interface & Localization - Serve as APAC contact point for emerging technology discussions - Translate local requirements into BU inputs (features, roadmap considerations) - Provide feedback on product-market fit in APAC Sales Enablement - Convert emerging technologies into sales narratives and use cases - Develop early-stage training for Sales and FAE teams - Anticipate future skill requirements for the Sales organization Opportunity Incubation - Identify and shape ear

About Appier Appier is a technology company dedicated to providing AI-driven platforms that help enterprises solve complex business challenges. Founded in 2012 by a passionate team of computer scientists and engineers, Appier offers three core cloud solutions: Advertising Cloud, Personalization Cloud, and Data Cloud. About the Business Enablement Team The Business Enablement team, part of the Growth and Marketing organization, collaborates closely with Product, Sales, and Customer Success teams to drive business growth. About the Role As the Assistant Manager of Business Enablement , you will act as a program manager driving go-to-market (GTM) initiatives and sales training. In this role, you will streamline our sales tools (specifically Salesforce ), leverage AI productivity tools , and coordinate cross-functionally to help our global sales team work smarter and close deals faster. Key Responsibilities Program Management: Lead enablement projects from scoping to execution, ensuring key GTM campaigns and training programs are delivered on time. Salesforce Optimization: Maintain and optimize enablement resources within Salesforce to improve sales workflows and track team adoption. AI Tool Integration: Identify and adopt AI-driven tools to streamline training, automate content creation, and boost team productivity. Sales Training: Build and deliver training on Appier’s products, target audience personas, and competitor insights. Performance Tracking: Define and monitor KPIs to evaluate training efficacy and tool adoption, reporting progress to leadership. Qualifications Experience: 2–4 years of experience in Program Management, Sales Enablement, or Business Operations (ideally in Tech/SaaS). Data-Driven & Analytical: Highly data-savvy with a strong analytical profile. Comfortable working with metrics, designing dashboard reports, and translating data into actionable insights to improve sales performance. CRM Savvy: Solid familiarity with Salesforce (running report

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

【About Appier】 Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. 【About the role】 The Campaign Management Intern will support the campaign management and tech support teams to facilitate the daily operations workflow related to advertisement campaigns. 【Responsibilities】 - Provide campaign management team with operations requirement. - Prepare documents and reports necessary for each campaign management sub-team. - Assist in advertising campaigns operations. - Co-work & provide insight with campaign analyst, and partnership team on optimization related projects. - Monitor campaign. 【About you】 [Essential] - Open to candidates with no working experience. - Moderate ability in English (Read/Write). - Ability to use Microsoft offices and image processing tools. - Diligent, and details oriented. - Interested in new technologies and able to pick up new skills set quickly. [Nice to have] - Digital advertising / RTB /Programmatic buying experience a plus - Exposure to online ad serving concepts (CPM/CPA/RTB/ROI), video, mobile, social media is a plus. 【Commitment】 - Schedule: 2-3 days per week (16-26 hours). - Duration: Minimum 6 months. #LI-JC1

【About the role】 In the position of Software Engineer Intern, Quality Assurance at Appier, you will be an integral part of our QA team, dedicated to ensuring the highest standards of software quality and reliability. This role provides a unique opportunity to delve into various aspects of software testing and quality control in a fast-paced and innovative tech environment. We are currently looking for individuals who can commit to an internship schedule of 2-4 days (18-32 hours) per week. This internship opportunity entails a minimum duration of 1 year, beginning from the present date. Students from the third year of undergraduate to the second year of master's program are welcome! 【Responsibilities】 Manual Test Execution Reporting bugs via JIRA Bug fix verification Exploratory Testing with guided charter (Advertising Cloud) Test the AD in App/Website, record the screen video and network traffic log(get from proxy server log) from click AD to open the destination product page. (Personalization Cloud, Data Cloud) Test the multi channel marketing automation service empowered by AI. Ensure integration between components or products. Find weak links in complex system architecture. 【About you】 - Minimum requirement - Able to understand requirements, specifications, and follow the test steps written in English. Interested in learning new technology and solving real world problems. A graduating student/BS in Computer Science, Engineering, or a related field - Preferred qualifications - Experience in web and mobile application testing Experience in HTTP Protocol and its functionality (RESTful API, Cookie, WebUI, ..) Experience in Fiddler/Charles proxy server Experience in Postman/SoapUI HTTP test Good communication skills in English. Experience with programming using AI tools (such as GitHub Copilot, Cursor...) is a plus. #LI-JC1

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing , and personalized content recommendation , while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 4+ years of industry experience in ad tech , with a focus on performance optimization. Proven experience in applied machine learning , especial