Jobs at Appier

Lead the design, development, and optimization of scalable backend services supporting real-time ad recommendations and serving infrastructure. Own technical roadmaps, improve latency and throughput, enhance observability and incident management, collaborate with product and science teams, maintain code quality, mentor engineers, and participate in on-call rotations.

Support campaign creative tasks, perform daily campaign operations, analyze campaign performance and generate reports to help achieve campaign objectives and client satisfaction.

Design and optimize scalable ML infrastructure, develop APIs, maintain cloud services, and enhance machine learning workflows for enterprise applications.

Provides confidential, high-level administrative and operational support to the Global SVP and Head of Sales. Responsibilities include managing complex calendars, coordinating cross-border meetings and travel, handling executive communications in English and Mandarin, preparing agendas and documents, tracking action items, reconciling expenses, and supporting business development initiatives and special projects.

Provides corporate legal counsel and compliance support for global commercial activities. Drafts, reviews, and negotiates sales, vendor, partner, licensing, and marketing contracts, primarily in Japanese. Conducts research and manages product-facing compliance involving privacy, AI, advertising, AdTech, and MarTech regulations, including IAB standards. Coordinates with global colleagues and streamlines legal processes, with contract operations and compliance each comprising approximately half of the role.

Analyze complex datasets to identify trends, produce insight-driven reports, collaborate with scientists and engineers to monitor systems, and develop tools that improve analysis efficiency and reporting quality. The internship requires a 6-month commitment for 2–3 days per week and is intended for senior college or graduate students.

Analyze campaign, auction, bidding, and user-behavior data to identify performance opportunities, investigate root causes, and develop testable hypotheses. Design and evaluate A/B experiments, define metrics and guardrails, build analytical datasets and pipelines, and create dashboards for campaign monitoring. Collaborate with ML scientists, engineers, product, creative, and operations teams to drive insights through production improvements. Use AI-assisted tools to increase analytical efficiency.

Own the lifecycle of data products including a customer data platform, query and serving APIs, and data-quality and reconciliation layers. Write PRDs and functional specifications, define API contracts, decompose initiatives into milestones, and partner with engineering on delivery trade-offs. Establish reliability, freshness, observability, and data-quality metrics. Represent downstream consumer needs, coordinate cross-functional rollouts, and design or prototype agentic AI workflows using AI and LLM tools.

Support AIXPERT SaaS clients throughout the contract lifecycle by building relationships, planning and managing digital marketing campaigns, troubleshooting implementations, providing first-line technical support, reporting results, and identifying account growth, renewal, customization, and upsell opportunities. Collaborate cross-functionally to resolve issues and help clients expand product adoption.

Drive go-to-market enablement programs and sales training from planning through execution. Optimize Salesforce resources and workflows, integrate AI productivity tools, develop product and market training, and track KPIs for training effectiveness and tool adoption. Collaborate with Product, Sales, Marketing, and Customer Success teams to improve sales productivity and deal velocity.

Manage Tokyo office administration, supplies, vendors, events, expenses, invoices, and contracts. Support Japan HR operations including payroll coordination, social insurance, resident tax, year-end adjustments, onboarding, offboarding, benefits, employee documentation, HR inquiries, time and attendance, HR systems, and process improvements. The role requires fluent Japanese and English and collaboration with external payroll vendors, Japan HR, and regional teams.

Lead multi-country payroll, compensation, incentive administration, and global relocation case management. Ensure compliance, accurate and timely payroll close, vendor management, reporting, process improvements, and audit readiness across regions.

Diagnose Tier 2/3 issues across ad serving, tracking, data pipelines, and ML-driven bidding. Perform root-cause analysis using logs and SQL, debug programmatic advertising integrations, validate partners, analyze supply-chain data, identify invalid traffic, and build internal tools and playbooks. Collaborate with Product, Engineering, and Data Science to improve platform reliability, delivery, and performance.

The Sales Manager is responsible for selling advertising solutions to clients, managing relationships, and achieving revenue goals through consultative sales strategies.

Perform manual and exploratory testing, execute test cases, report and verify bug fixes via JIRA, record screen and network logs for ad flows, and test integration across marketing automation and personalization services.

The Campaign Analyst executes ad campaigns, analyzes performance data, collaborates with teams, and optimizes AI models to improve campaign effectiveness.

Responsible for managing payroll, compensation, and global relocations across multiple countries, ensuring compliance and efficiency in payroll execution and reporting.

The Senior Direct Sales Representative will drive sales efforts for chatbot technology, establish client relationships, develop sales strategies, and collaborate with teams to meet targets.

The Sales Manager is responsible for selling Appier's Ad Cloud solutions, engaging clients in digital marketing, and achieving revenue goals through consultative sales approaches.

The Staff/Senior Machine Learning Scientist will design and implement ML models to optimize advertising campaigns, analyze user data, and collaborate with teams for enhanced solutions.