Siena AI - Staff Software Engineer
Requirements
• You have operated at Staff level, or you are clearly ready to. You are the person other engineers turn to when a decision is hard. • 7+ years of software engineering, with a track record of technical leadership across teams or systems. Years are a floor, not the signal. • Deep full-stack strength in our core stack: Node.js, React, TypeScript, Express. • Strong with AWS in production (Fargate, Lambda, EC2, SQS) and with PostgreSQL and Redis. • Fluent in microservices and distributed systems, and clear on when not to reach for them. • Comfortable owning CI/CD and infrastructure with a real DevOps mindset (CodePipeline, GitHub Actions, or similar). • Product-minded. You think in customer outcomes and business impact, not tickets closed. • You have shipped LLM-powered features to production. This is a must, not a bonus. You know what breaks when models meet real users at scale. • Direct, low-ego, high-ownership. You fix first and explain after, and you give and take honest feedback without flinching. • Infrastructure as Code (CDK, Terraform). • Event-driven architecture. • Background in customer support or CX software.
Responsibilities
• Set technical direction and architecture for major areas of the platform, and bring the rest of engineering with you. • Own our hardest problems end to end: the ambiguous, cross-cutting, high-stakes work where the right path is not obvious yet. • Make the build/buy and architectural calls that shape the platform for years, and write down the reasoning so others can build on it. • Take cutting-edge language models into production inside enterprise customer workflows, where reliability and safety actually matter. • Multiply the team. Raise the engineering bar through design review, technical mentorship, and the standard you set by example. • Identify the technical initiatives we should be running, rather than waiting to be handed them. • Keep us honest on reliability, performance, and scale as we grow across channels and brands.
Benefits
• Real ownership. You will own problems, not tasks, with the autonomy to solve them your way and the trust to do it without a manager in your inbox. • Real ownership. • Work that ships and matters. What you build reaches real consumer brands fast. • Work that ships and matters. • A category we are creating. The Agent of Record is new ground, with unsolved problems and cutting-edge models, not a crowded field to compete in. • A category we are creating. • A team that respects your judgment. Globally distributed, async-first, low bureaucracy. We hire adults and treat you like one. • A team that respects your judgment. • Great salary plus equity or stock grants. Own a piece of what you build. • Great salary plus equity or stock grants. • Learning budget. If you are growing, so are we. • Learning budget. • AI-fluency by default. Few places will push your work with production AI further or faster. • AI-fluency by default. • Our values • Our values • The people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback—both giving and receiving it—because they care more about getting things right than being polite. • They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward. • Our approach to AI • Our approach to AI • The people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem. • Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows. • At Siena, we’re not just looking for people who can do a job. We’re looking for people who want to break boundaries, create the future, and reshape industries. If that’s you, we look forward to your application. • We use AI-assisted screening tools as part of our hiring process. All decisions are made by humans. You can request a human-only review at [email protected].
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