Top Tech Jobs & Startup Jobs

Lead advanced data science for Unity’s advertising business, analyzing revenue, supply, demand, and customer behavior. Define metrics, evaluate ML and product initiatives, guide roadmaps, and turn large-scale data into executive-level recommendations. Partner with Product, Engineering, Sales, and Finance, while mentoring data scientists and providing technical leadership without formal management authority.

Lead the architecture and development of Unity Ads’ iOS SDK. Design high-performance Swift components, ensure backward compatibility, collaborate with Android engineers, and own complex initiatives from design through rollout. Diagnose production issues involving lifecycle, concurrency, memory, networking, rendering, WebViews, and host-app integrations. Improve performance, reliability, crash rates, observability, and release safety while mentoring engineers and influencing technical direction.

Lead architecture and implementation for reliable, scalable AI authoring platforms. Build cloud infrastructure, CI/CD pipelines, Kubernetes and Helm deployments, infrastructure-as-code, observability, disaster recovery, A/B testing, and release processes. Improve backend reliability, performance, security, and cost efficiency across Azure and Google Cloud. Partner with product and engineering teams on technical strategy, ML infrastructure, LLM inference, and AI-assisted game development tools.

Serve as primary legal counsel for Unity’s AI products, advertising monetization, data rights, identity frameworks, and privacy matters. Counsel product, engineering, and data-science teams; draft and negotiate technology, partnership, research, and data-sharing agreements; establish positions on AI, intellectual property, privacy, and emerging regulation; and create scalable legal templates, playbooks, and guidance.

Leads planning and execution for large-scale B2B user conferences, roadshows, and third-party events. Responsibilities include managing vendors and sourcing across production, hospitality, rentals, and experiential builds; negotiating contracts; developing load-in/load-out schedules, run-of-show documents, floorplans, and staffing plans; and overseeing onsite crews and logistics. The role requires immediate, senior-level event expertise in a fast-moving 4–6 month contractor engagement.

Lead end-to-end machine learning architecture, production systems, forecasting, probabilistic modeling, experimentation, and agentic AI development. Build models for acquisition cost, lifetime value, ROAS, demand, and market outcomes; establish reproducible data and model pipelines; create evaluation harnesses for LLM agents; and own calibration, feedback loops, measurement, and cost controls. Mentor cross-disciplinary engineers and influence technical strategy across teams.

Own end-to-end product marketing for assigned Unity product areas and launches. Develop positioning, messaging, go-to-market plans, audience definitions, sales enablement, partner marketing, competitive intelligence, and developer-focused content. Measure launch performance and translate customer feedback into actionable insights. The role requires independent execution, strong technical writing, comfort with ambiguity, data literacy, and practical use of AI tools. Game production, developer-platform, AI/ML, partner marketing, and contract experience are advantageous.

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.

Lead the development of ads recommendation and personalization models using machine learning, deep learning, user behavior data, and large-scale computing. Responsibilities include defining modeling opportunities and roadmaps, conducting foundational research, validating new models, analyzing metrics and data, and partnering with engineering and product teams to productionize research and deliver measurable business results.