Staff Software Engineer, Backend (Product)
$210k - $275k • Remote • Mountain View, CA
Posted 1mo ago
About the job
We are building the next generation of AI-native product experiences where conversations directly translate into outcomes. As a Staff Software Engineer on our Product teams, you will define how these capabilities are translated into scalable systems and cohesive product experiences. You will operate across the full lifecycle of AI-driven features, from data ingestion and model orchestration to output structuring and delivery into user-facing product surfaces, all at a systems level. This includes shaping the architecture behind generation pipelines, defining how AI outputs are structured and persisted, and ensuring these systems are reliable, performant, and adaptable as both product requirements and underlying models evolve. This role goes beyond individual features; you will drive technical direction across product areas, aligning product, AI, and infrastructure teams on how to build AI-native systems that scale. You will help define patterns for how we evaluate, iterate on, and continuously improve AI-driven experiences, turning ambiguous opportunities into clear systems and execution plans. You will partner closely with product, design, and AI teams to identify high-leverage opportunities, prototype new approaches, and guide them into production, shaping both the product experience and the underlying systems that power it.
Responsibilities
- Define system architecture for AI-native product surfaces, designing foundational systems like generation pipelines, data models, and evaluation frameworks.
- Drive cross-team technical strategy, leading initiatives that span product, AI, and infrastructure teams to ensure architectural and execution alignment.
- Establish best practices for AI product engineering, setting standards for evaluation, reliability, iteration loops, and system design.
- Translate ambiguity into scalable systems and product direction by defining clear technical approaches and execution plans for loosely defined opportunities.
- Raise the bar across the organization by influencing engineering quality, system design, and product thinking beyond your immediate team.
- Shape how AI accelerates engineering velocity by driving adoption and best practices for AI-assisted development.
Requirements
- 10+ years of experience building and scaling complex systems.
- Strong track record of owning technical and product direction for large or ambiguous problem spaces.
- Deep expertise in system design, especially in data-intensive or distributed systems.
- Experience leading cross-team initiatives and influencing without direct authority.
- Strong product intuition and ability to balance user experience, system constraints, and business impact.
- Comfort operating at a high level of ambiguity and defining both the problem and the solution.