Jobs at adjoe

Create and maintain developer-facing documentation (API references, SDK guides, integration tutorials, sample apps). Build demo apps in Swift/Kotlin, contribute to Docusaurus/Markdown tooling, use JavaScript/TypeScript/HTML for components, debug integrations using SQL, logs, and dashboards, and collaborate cross-functionally to improve developer experience and reduce integration friction.

Lead enterprise sales in Greater China for adjoe's mobile ad solutions: build publisher/advertiser relationships, manage full sales pipeline, prepare proposals and contracts, onboard and grow clients, track performance via CRM and reports, and perform market research to win T1/T2 clients.

Lead executive technical relationships with strategic publisher partners, ensure SLAs and satisfaction, oversee complex integrations and onboarding, resolve critical technical escalations, translate publisher feedback into product priorities, mentor and scale a team of Technical Account Managers, and create standardized playbooks for partner success.

Manage and grow a portfolio of app publisher partners, optimize monetization using performance metrics (CPI, CPM, CTR, ARPDAU), present reports/QBRs, collaborate cross-functionally, identify upsell opportunities, and drive partner revenue and retention.

Own the Analytics Dashboard product end-to-end: define roadmap, manage a dedicated development team, run agile delivery, prioritize by user and business KPIs, bridge business and engineering, deliver 0-to-1 iterations, and grow team members while optimizing campaign management and real-time analytics.

Serve as a technical Product Owner for high-throughput adtech systems. Translate business needs into technical specs, collaborate with Backend, Data Science, and BI, design and analyze A/B tests, oversee TensorFlow model integration and low-latency model serving, and prioritize platform integrity while shipping experiments and features.

Lead research and productionization of generative and representation-learning systems for large-scale recommendations. Build and optimize user/content embeddings, multi-stage retrieval/ranking pipelines, and deploy high-throughput, low-latency models in production while mentoring teammates and driving research direction.

Drive publisher acquisition and revenue in Japan by managing pipeline, lead generation, outreach, closing, onboarding, and growth. Use CRM and Google Suite to prepare custom presentations, attend events, and relay partner needs to internal teams to win enterprise clients.

Build and maintain data-rich dashboards and campaign management tooling using React and TypeScript. Implement data fetching with RTK Query and SQL, create visualizations, ensure test coverage with Jest and Cypress, use CI/CD with Docker and GitLab, promote reusable code via npm/yarn workspaces, and mentor junior developers while improving frontend architecture and maintainability.

Lead advertiser growth and P&L for Greater China (Mainland, Taiwan, Hong Kong). Develop GTM strategy, manage sales operations and KPIs, represent local needs to HQ product teams, build C-level relationships, elevate brand presence, and scale a high-performance demand sales team.

Design, operate, and optimize cloud infrastructure at scale for high-throughput ad systems. Manage Kubernetes clusters, Kafka streaming, Terraform IaC, CI/CD pipelines, AWS services, and open-source data infrastructure. Drive cost-efficient, reliable platform operations and migrate workloads to self-hosted solutions while supporting backend teams and improving observability and automation.

Lead production-scale MLOps: deploy and maintain low-latency ML models, build continuous training pipelines, implement observability for data drift, optimize inference (Triton/ONNX/TF Serving), own ML platform integration with Kubernetes/Docker and orchestration tools, and collaborate with infra and data science teams to keep models performant at massive scale.

Manage and grow a portfolio of app publisher partners across SEA and Greater China, optimize performance using ad metrics, present reports and QBRs, collaborate with Product/Tech, identify upsell opportunities, and drive revenue and retention targets.

Serve as the anti-fraud analytics lead for business stakeholders: investigate and diagnose fraud across asynchronous ad delivery systems, run SQL analyses, build reporting/monitoring, translate findings into recommendations, and support scalable alerting and data-driven fraud prevention.

Manage and grow a portfolio of app publisher partners in Japan, build strong partner relationships, analyze CPI/CPM/CTR/ARPDAU to optimize monetization, present performance reports and QBRs, collaborate cross-functionally to solve issues, identify upsell opportunities, and drive revenue and retention targets.

Own and grow top enterprise partnerships by defining commercial strategy, joint technical roadmaps, and revenue targets. Lead a small team, drive integrations, run QBRs and workshops, translate partner feedback into product priorities, and align cross-functional stakeholders to scale monetization and profitability.

Support Business Operations by researching and analyzing companies, monitoring KPIs, creating advertiser campaigns, maintaining Salesforce data hygiene, assisting day-to-day operations, and evaluating AI tools to automate team workflows.

Lead analytics strategy and a team of analysts to build high-scale data pipelines, transformations, and BI dashboards supporting adtech revenue and operational metrics. Collaborate with data science, data engineering, and backend teams to ensure data quality and real-time reporting. Use domain expertise to surface growth opportunities and mentor the analytics team.

Drive advertiser revenue growth in Greater China by managing pipeline, onboarding and expanding partners, analyzing performance KPIs, developing growth strategies, presenting reports, and coordinating with internal teams to troubleshoot and optimize campaigns.

Lead technical analyses to detect and prevent ad fraud at scale. Build and optimize SQL/Python data pipelines, apply anomaly detection methods, design experiments, automate reusable analytics frameworks, and communicate findings to technical and non-technical stakeholders to drive business decisions.