Top Tech Jobs & Startup Jobs in Seattle, WA

Manage full-cycle recruiting for COO organization roles across global regions. Responsibilities include sourcing and building talent pipelines, interviewing and qualifying candidates, partnering with hiring managers, managing candidate relationships, developing hiring strategies, and driving offers through acceptance. The role supports technical and go-to-market hiring, including project-based or high-volume recruitment, while ensuring a positive candidate experience and accurate, timely execution.

Develop foundational XR support for the Unity Engine by integrating third-party SDKs and next-generation hardware platforms. Collaborate with internal teams and external partners to deliver consistent AR/VR development experiences. Implement engine technologies, investigate issues, participate in code reviews and planning, and write automated tests. Coordinate with embedded QA to establish testing methodologies and maintain software quality.

Design, build, and operate distributed, real-time data processing systems for Unity’s mobile advertising infrastructure. Own high-throughput attribution pipelines, ad event services, streaming and batch workflows, caching and persistence layers, monitoring, and data quality systems. Lead migration from a legacy event-handling layer to gRPC-based services while ensuring reliability, accuracy, low latency, and production scalability. Collaborate with ML, Reporting, and external partners to investigate and resolve data issues.

Lead product strategy and execution for Unity Ads’ User Acquisition campaign management and optimization products. Translate advertiser needs into roadmaps, partner with applied science, engineering, design, and go-to-market teams, and launch machine learning features. Define success metrics, analyze cohort and product performance data, evaluate models in production, and drive iterative improvements. The role also explores agentic solutions to simplify advertiser workflows and decision-making.

Build and operate Unity’s machine learning infrastructure, including data and feature pipelines, distributed training workflows, orchestration, model serving, monitoring, validation, and testing. The role involves delivering ML platform projects end-to-end, troubleshooting complex pipeline issues, improving reliability and reproducibility, and collaborating with ML engineers, researchers, managers, and partner teams.

Design, develop, deploy, and operate distributed backend systems supporting large-scale, low-latency online model inference. The role owns inference platform technical direction, scalability, reliability, observability, and cloud infrastructure on GCP and Kubernetes. Responsibilities include partnering with ML engineers, optimizing high-throughput services, implementing DevOps and SRE practices, and monitoring production systems with Prometheus and Grafana.

Build and operate large-scale machine learning systems for ads personalization, including ad ranking, conversion-rate prediction, recommendation, behavioral modeling, and bidding optimization. Monitor model quality, calibrate predictions, address data drift and delayed feedback, and guide technical direction and project execution. The role requires collaboration with engineering leads and communication of complex technical concepts to non-engineering stakeholders.

Principal Product Manager leading the strategy, roadmap, and evolution of Unity LevelPlay’s mobile advertising mediation platform. The role owns platform decisions across auctions, bidding, network integrations, monetization, analytics, and publisher tooling. Responsibilities include partnering with engineering, data science, design, publishers, and ad networks; driving revenue-impacting decisions; aligning stakeholders; shipping scalable products; and mentoring other product managers. Deep ad tech, marketplace, mobile gaming, experimentation, and machine learning experience is expected.

Develops and advances machine learning and deep learning models for personalized advertising recommendations. Responsibilities include understanding advertising systems and user behavior data, conducting foundational model research, validating approaches with large-scale compute, analyzing metrics, and collaborating with engineering and product teams to productionize research and deliver measurable business results.

Develops personalized advertising recommendation algorithms using machine learning and deep learning. Responsibilities include identifying modeling opportunities, defining research roadmaps, developing and validating new models with large-scale user data and compute, analyzing metrics, and partnering with engineering and product teams to productionize research and deliver measurable business results.