Member of Technical Staff (Product Engineer)

Accountabilities:

• Own and deliver end-to-end product features, from problem definition and system design through deployment, monitoring, and iteration.
• Design and build scalable backend systems, APIs, and data pipelines supporting AI-driven and multimodal product workflows.
• Contribute across the stack when needed, including backend, frontend, infrastructure, and experimentation systems.
• Collaborate closely with researchers, designers, and product teams to turn ambiguous ideas into production-ready systems.
• Develop and maintain reliable, high-performance systems that support model-driven and AI-native applications.
• Define technical scope, milestones, and execution plans for complex product initiatives.
• Use AI tools to accelerate development workflows while ensuring correctness through testing, validation, and observability.
• Build and optimize systems that leverage AI capabilities such as agents, retrieval, and multimodal reasoning.
• Continuously iterate on product features based on performance data, user feedback, and system insights.
• Maintain a high standard of reliability, simplicity, and scalability across all engineered solutions.

Requirements:

• Experience building and shipping production-grade software systems, either backend or full-stack.
• Strong understanding of distributed systems, APIs, and system reliability principles.
• Proven ability to own projects end-to-end in fast-paced, ambiguous environments.
• Comfort working across multiple domains including engineering, product, data, and user experience.
• Strong problem-solving skills with a pragmatic, outcome-oriented mindset.
• Excellent communication and collaboration skills across technical and non-technical teams.
• Experience using modern development workflows and AI tools to improve engineering productivity.
• Ability to design and reason about complex systems involving data, scalability, and performance tradeoffs.
• Nice to have: experience with video, audio, or multimodal systems including search, retrieval, or streaming architectures.
• Familiarity with embeddings, semantic search, or multimodal AI systems is a plus.

Benefits:

• Competitive compensation aligned with experience and market standards.
• Remote-first work environment with global team collaboration opportunities.
• Comprehensive health coverage including medical, dental, and vision insurance.
• 5 weeks of paid time off to support rest and work-life balance.
• Visa support including H1B and OPT transfers for eligible candidates.
• Opportunity to work on cutting-edge AI-native and multimodal product systems.
• Exposure to world-class engineering and research talent in a high-growth AI environment.
• Mission-driven culture focused on building impactful artificial intelligence systems.