Top Tech Jobs & Startup Jobs

Own reporting, data analysis and KPI evaluation for business teams; gather and document business needs; model processes; identify risks and opportunities; outline business impact; communicate insights and implement/test solutions.

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.

Lead global GTM strategy and execution across Europe, North America and APAC. Support strategic sales accounts, build sales enablement, reporting and pipeline frameworks, design global sales incentives, and establish the Revenue Operations function to scale commercial operations and ensure cross-functional alignment with Product and Tech.

Identify and evaluate potential advertisers for adjoe's UA solution; onboard and maintain advertiser relationships; monitor sales pipeline and partner KPIs; develop pitches and presentations; attend conferences and meet partners; collaborate cross-functionally to achieve company goals.

Lead strategic and technical product initiatives across adjoe’s high-scale adtech platform. Define vision, translate business goals into technical roadmaps, coordinate cross-functional teams, make executive trade-offs, measure outcomes with KPIs, and mentor team members. Ensure product decisions align with system design, scalability, and revenue impact while collaborating with Data Science, Data Engineering, and Analytics.

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.

Lead production ML efforts at massive scale: develop and deploy deep learning models (LTV, conversion, user behavior), own full ML lifecycle from terabyte-scale feature engineering and A/B validation to production, and translate product requirements into measurable ML solutions impacting advertiser ROI and publisher revenue.

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.

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 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.