• Collaborate with Product and Network and Agent Experience team engineers to design, create, and maintain features for Proof's customers and users • Write quality code with a high degree of autonomy, meeting standards for performance and reliability • Use AI tools in your day-to-day coding, review, and deployment processes to work more effectively and deliver a quality experience for our customers • Drive project scoping activities and discussions around requirements and trade-offs • Troubleshoot complex technical issues in production, pertaining to team's areas of ownership • Drive improvements, collaboration, and best practices through code reviews and mentoring • Proactively write and maintain technical documentation • Participate in production on-call rotation several times a year, after receiving in-depth training

• Collaborate with cross-functional teams to design, implement, and maintain scalable software systems • Build resilient infrastructure for serving data at scale and with high availability • Drive technical planning and contribute to the overall engineering strategy • Develop and maintain continuous integration and deployment processes • Work on innovative solutions for advanced and challenging data and systems problems • Contribute to code reviews, unit testing, and development strategies in an agile environment • Influence culture, recruit new engineers, and help shape a rapidly growing startup

• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs • Drive innovation by taking AI prototypes from concept to production at scale • Shape the future of how Airbnb employees work, collaborate, and discover information • Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, agent orchestration, and prompt optimization • Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce • Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency across multi-cloud environments • Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making • Implement evaluation pipelines and quality systems to measure model performance, safety, and user satisfaction • Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response • Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs • Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions • Stay current with emerging AI technologies and evaluate their applicability to employee experience products • Balance hands-on technical contributions with technical leadership activities

Role Description Salt AI is building the governed execution platform for AI work that has to be real: deployable, auditable, permission-aware, and reliable enough for regulated industries. We are looking for a Senior Full Stack Product Engineer who can help turn that platform into something customers can actually build on: software that feels considered, powerful, fast, trustworthy, and unusually good for the complexity underneath. This role leans frontend and customer experience. You should go deep on: - React - TypeScript - Design systems - Motion - Interaction design - Dense information interfaces But the scope is still fullstack. You are responsible for the full stack of the customer experience: - The interface - The interaction details - The runtime behavior - The APIs - The data contracts - The failure states - The quality bar of the thing a customer actually uses This is a fullstack product engineering role for someone who likes deep systems, clean abstractions, and product surfaces that make hard infrastructure feel usable. You will work across the platform layer and the application layer: - Workflow execution - Agent orchestration - Pipeline-as-tool contracts - Customer data access - Retrieval - Permissions - Observability - The UI surfaces that expose those capabilities to real users The through-line is platform leverage plus customer experience: building product surfaces that make Salt more trustworthy, more composable, easier for customers to understand, and dramatically better to use. We are an AI-first engineering team building AI tools for modern, forward-thinking companies. The right person can use agents, code generation, and modern tooling aggressively without surrendering authorship, judgment, or accountability. Qualifications - Strong frontend and product craft in React, TypeScript, interaction design, design systems, animation, state management, responsive UI, and customer-facing product quality. - Fullstack production range with comfort in Python/Django, APIs, backend services, data models, jobs, and platform constraints. - High agency and high standards; you clarify the problem, find the constraint, and raise the quality bar as you go. - Product and design taste; you care about making advanced software feel legible, fast, and empowering. - Platform instincts; you think in contracts, interfaces, failure modes, permissions, observability, and lifecycle. - Good taste in abstraction; you know when repeated customer work wants to become a platform capability. - AI-first engineering habits; you use tools like Claude Code, Cursor, Codex, or similar systems effectively. - Judgment in spite of AI; you can deliver high-quality software even when AI tools generate too much code. - Customer empathy; you can translate messy real-world needs into durable product decisions. - Clear communication; you can explain tradeoffs and help the team make better decisions. Requirements - You have built design-heavy enterprise SaaS, workflow tools, developer tools, data products, internal tools, agent systems, or complex customer-facing products. - You like the space between product UX and backend architecture. - You have opinions about UI states, motion, density, information hierarchy, API shape, execution semantics, logs, and permissions. - You can show how AI has made you faster without making your work worse. - You can point to places where you rejected, rewrote, constrained, or heavily edited generated code. - You have pulled something back from release because it technically worked but did not yet meet the quality bar. - You are comfortable with ambiguity and ask the questions that make the work concrete. - You care about regulated, high-trust AI. Benefits - Competitive salary and equity package - 100% Employee Covered Medical, Dental, Vision Plan Base Plans (PPO & HMO) - Life Insurance, 401k, Flexible Spending Accounts, & More - Fully Remote - Required to work during US-based time frames How to Apply Send us: - A short note about why this role specifically. - A description of where you are strongest across frontend/product experience and where you still feel comfortable across the rest of the stack. - Your GitHub, portfolio, writing, shipped UI examples, technical design docs, or a representative sample of work you are proud of. - One example of a platform, workflow, developer tool, data product, or user-facing system you shipped. - One example of how you use AI in your engineering work. Company Description Based in Southern California, Salt AI is pioneering the future of life sciences with advanced AI. Founded in 2024 by Aber Whitcomb and Jim Benedetto, our leadership team brings over 18 years of collaboration. We’re not just building products, but transforming what’s possible in research and discovery. We value diverse perspectives and are committed to an inclusive team.