Top Tech Jobs & Startup Jobs

Build and maintain ML-scale data infrastructure: feature store, real-time and batch pipelines, data quality and validation, and low-latency systems. Translate Data Science needs into high-performance Flink streams, eliminate ETL bottlenecks, collaborate on online ML systems, and implement monitoring, governance, and deployment processes for production ML workflows.

Lead and grow the Data Science team owning the real-time bidding algorithm, combine hands-on modeling with people leadership, architect and deploy large-scale ML systems, run experiments and A/B tests, and align model work with product and infrastructure priorities to drive ad monetization and business outcomes.

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.

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.

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.