Senior Software Engineer, Builder Studio

Accountabilities

• Build and improve the core application-building experience, including conversational development, live previews, interactive canvases, and publishing and sharing workflows.

• Design and refine AI agents that transform natural-language instructions into application plans, interfaces, databases, and workflows, while safely applying changes without disrupting existing functionality.

• Develop the runtime and workflow infrastructure that powers generated applications, including triggers, scheduled tasks, retries, logging, and the coordination of deterministic operations with AI-driven actions.

• Implement secure execution environments, delegated authentication, permission management, secrets handling, and isolation mechanisms to ensure applications operate only within authorized access boundaries.

• Expand integrations with internal data sources and external services, including contacts, companies, lists, Google Sheets, Google Drive, CRM platforms, and MCP-based connectors.

• Create intuitive interfaces that clearly communicate relationships between pages, data, workflows, and AI agents, helping users understand and trust how their applications operate.

• Collaborate directly with design partners and customers, gathering feedback and translating it into product improvements and new capabilities.

• Establish engineering standards for a new product team, including effective development patterns, meaningful automated tests, model evaluations, and robust quality practices.

• Take ownership of the reliability, performance, security, and operating costs of the systems and features you deliver.

• Use AI-assisted development tools to accelerate research, design, debugging, and implementation while applying sound judgment to review and validate generated code.

Requirements:

• At least five years of experience building and shipping production software, with substantial hands-on expertise across both frontend and backend development.

• Strong proficiency in TypeScript and React, including experience building complex, stateful user interfaces such as editors, visual canvases, application builders, or real-time collaborative tools.

• Solid backend engineering and API design skills, ideally with event-driven architectures or workflow systems involving retries, idempotency, and observability.

• Practical experience deploying large language model capabilities in production, including agent loops, tool calling, context management, code generation, or model evaluations.

• Strong understanding of the limitations and failure modes of AI models, with the ability to design systems that handle uncertainty and maintain reliability.

• Experience making sound security decisions for systems that execute untrusted or AI-generated code, including sandboxing, delegated authentication, scoped tokens, and secrets management.

• A proven track record of taking an ambiguous product from an early prototype to a dependable, customer-facing solution, balancing speed, scope, and quality.

• Strong product judgment and empathy for non-technical users, with a focus on making complex functionality understandable and accessible.

• Current, practical fluency with AI-assisted software development and a strong commitment to engineering quality, initiative, and end-to-end ownership.

• Preferred qualifications: Experience building low-code, no-code, AI application-builder products, or developer tools; familiarity with edge or serverless technologies such as Cloudflare Workers and Durable Objects; experience with Ruby on Rails at scale; or a background in go-to-market, sales, marketing technology, or RevOps environments.

• Familiarity with technologies used across the platform, including Node.js, Python, MongoDB, Elasticsearch, Kubernetes, Docker, Terraform, and Google Cloud Platform, is beneficial.

Benefits:

• Competitive annual base salary, determined by experience, qualifications, location, and role level.

• Equity opportunities and a company bonus, where applicable.

• Paid holidays, flexible paid time off, and parental leave.

• Extended health, dental, and vision coverage.

• Life and disability insurance.

• Employee assistance resources and wellness benefits.

• Global travel coverage.

• Access to AI development tools and resources to support productivity and experimentation.

• Opportunities for professional growth, continuous learning, and collaboration with a high-performing engineering team.

• The chance to build a new AI-powered product from the ground up, with meaningful ownership and direct influence over product direction and engineering decisions.

• A collaborative, remote-friendly environment that encourages initiative, thoughtful experimentation, and continuous improvement.