Top Tech Jobs & Startup Jobs

Lead the design and implementation of a robust subscriptions platform across cloud environments while coding 80% of the time. Collaborate with multiple teams to enhance service reliability and scalability.

As a Senior Software Engineer, you will design and deploy scalable applications, lead architecture discussions, ensure compliance, and improve engineering processes while collaborating across teams.

Develop ML models for ad content understanding using visual, audio, and textual content. Collaborate with engineers to improve ad serving systems and drive ML strategy.

Lead the unified Search and Voice product organization to define multi-year strategy and roadmap for the Roku Entertainment Assistant. Drive prioritization, cross-functional alignment, monetization, AI/ML innovation (LLMs, RAG, conversational AI), experimentation, quality, compliance, and measurable engagement and revenue outcomes while growing and mentoring a high-performing PM team.

Lead the Core Content Platform team by defining technical vision, improving data infrastructure, and managing a distributed engineering organization.

Develop and lead hardware products through design lifecycle, manage projects across teams, and provide on-site factory support.

Manage and grow the engineering team, build distributed systems for data processing, and communicate with stakeholders to influence project direction.

The role involves driving go-to-market initiatives for new advertising products, ensuring operational readiness, and collaborating cross-functionally to address market needs and launch strategies.

As a Lead ML Inference Engineer, you'll architect and develop a state-of-the-art inference platform, optimize performance, and ensure reliable ML serving for advertising applications.

Lead Roku's unified Search and Voice product organization to define the multi-year strategy for the Roku Entertainment Assistant. Own roadmap, prioritization, monetization, product quality, and cross-functional alignment. Grow and mentor product teams, present to senior leadership, drive data-driven experimentation and Gen-AI initiatives (LLMs, RAG, conversational AI), and ensure AI safety, privacy, and compliance while delivering measurable engagement and revenue outcomes.