Ode with Anthropic - Staff Software Engineer (SF)

• 8+ years of engineering experience, with deep care for the craft. You've shipped multiple complete products end-to-end and write elegant, production-ready code across multiple disciplines. • 8+ years of engineering experience, with deep care for the craft. • Specific interest in applying software engineering fundamentals to AI systems. You care about balancing frontier model capabilities with good system design. • Specific interest in applying software engineering fundamentals to AI systems. • Comfort talking with senior technical stakeholders. You navigate conversations skillfully, and care about people using what you build. • Comfort talking with senior technical stakeholders. • High ownership mindset. You jump in without instruction, embrace a "no job too big, no job too small" mindset, and want to shape strategy and culture. • High ownership mindset. • Low ego, high integrity. You help others and ask for help. You hold a high bar for honesty–with yourself and your team. • Low ego, high integrity. • Our Engineering Philosophy • We have a distinct approach to building AI systems: applying standard software engineering discipline to the non-deterministic world of frontier AI. We design systems around testable hypotheses, curate durable data sets, and ensure what we ship keeps working long after we've handed it over. • After shipping 30+ AI products, we have strong opinions on what makes AI products succeed and how to get them into production. We think you'll find it refreshing if you've seen how most companies approach AI. • How Ode Is Different • A typical engineer here ships two to three products per year and learns from dozens more. You have outsized autonomy on each product — but you won't have a year to polish a single system. The upside is constant time on the frontier of models and tooling, and a muscle for AI product development that's hard to build anywhere else. • Most engineers look back at this as the biggest growth period of their career. But it's possible you won't like it — we recommend using the interview process to hear what our engineers think. • Our Values • Our Values • Overdeliver: We are writing the playbook on how to create enterprise value with LLMs, and building our reputation as the world’s best applied AI team. • Overdeliver • Overuse AI: We obsessively explore and experiment with Claude to push the frontier of applied AI and share what we learn with our teammates. • Overuse AI: • Over”engineer” the Culture: We’re building a culture that attracts and retains top applied AI talent, and we stress test large decisions through the perspective of our world class builders. • Over”engineer” the Culture: • Location • Location • San Francisco, CASan Jose, CA • Work Arrangement: 4 days in-person, Fridays remote