Top Tech Jobs & Startup Jobs

Own the architecture, reliability, and evolution of high-throughput Go microservices powering real-time ad targeting and monetization. Define service boundaries, concurrency models, streaming standards, data patterns, resilience practices, and database migrations across Kafka, SQS/SNS, Kinesis, DynamoDB, MySQL, Druid, and Athena. Partner with Data Science on model-serving infrastructure, establish organizational reliability standards, lead technical migrations, communicate through RFCs and ADRs, and mentor senior engineers.

Lead adjoe’s consumer apps demand partnerships business across EMEA. Identify and win new advertiser relationships, sell rewarded advertising to consumer apps, launch campaigns, and develop long-term partnerships. Use mobile marketing KPIs such as CPI, CPA, ROAS, retention, LTV, and incrementality. Collaborate with Marketing and Product on positioning, sales materials, and case studies while representing the company at industry events.

Manage technical onboarding and SDK integrations for Korean app publishers. Troubleshoot mobile integration issues, provide technical strategy, use data and SQL to improve publisher KPIs, support QBRs, document integrations, and collaborate with Product, Engineering, Growth, and international teams to improve adtech products and drive publisher revenue growth.

Own and prioritize the Mobile SDK product backlog, translating customer, developer, business, and technical needs into requirements and delivery priorities. Lead features from discovery through release and post-launch evaluation while coordinating Android, iOS, backend, QA, and other stakeholders. Analyze developer feedback, SDK telemetry, experiments, and KPIs to improve integrations and developer experience. Support release planning, documentation, adoption tracking, and stakeholder communication.

Own demand and supply partnerships in Korea: source and close mobile gaming advertisers and app publishers, manage pipeline, conduct market research, onboard clients, prepare sales presentations, and coordinate with internal teams to grow revenue and optimize partner monetization.

Lead experimentation and A/B testing analyses using SQL and Python on large-scale data (100TB). Design experiments, compute sample sizes, apply variance reduction, detect anomalies, automate reporting and dashboards, and collaborate with product, engineering, and growth teams to translate results into business decisions.

Analyze machine learning model performance, investigate gaps between offline predictions and real-world outcomes, define model and business metrics, and design A/B tests. Build dashboards and automated reports, evaluate statistical significance and business impact, and translate complex findings into recommendations for Data Science, Product, and Business teams. The role also documents reusable analytical methods and challenges technical and product decisions with data.

Analyze enterprise publisher data to monitor contractual commitments and business KPIs, identify risks, forecast performance, and uncover growth opportunities. Build automated reports, dashboards, and alerts, investigate trends, and prepare insights for Quarterly Business Reviews. Partner with Growth Managers and Partner Operations to support informed decisions and improve publisher outcomes.

Conduct advanced machine learning research and translate state-of-the-art generative AI, recommendation, embedding, and ranking methods into high-throughput production systems. Build multi-stage recommendation pipelines, optimize large models for sub-millisecond latency, and develop user and ad embeddings using PyTorch and GPU infrastructure. Lead architectural discussions, mentor junior scientists, and guide research direction across systems serving hundreds of millions of users.

Develop and productionize reinforcement learning, optimization, and control-theory algorithms for real-time bidding, auctions, budget pacing, and allocation. Translate research into sub-millisecond, high-throughput systems using large-scale Bayesian inference and behavioral data. Lead technical architecture, define mathematical objectives with product and engineering teams, mentor junior scientists, and guide research direction across adtech products serving hundreds of millions of users.