Staff Software Engineer (NY)
About the role
Odewithanthropic is the team bringing frontier AI into practice. We are a team of experienced builders who care deeply about getting complex AI systems into production, with strong conviction about what makes them succeed. As Anthropic’s services venture, we tackle the hardest, most consequential AI problems for companies with real stakes, working closely with their Applied AI and Product teams to turn frontier technology into real world impact. We're backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital. We're headquartered in SF with offices in NYC, Raleigh-Durham, and Dubai.
Our engineering philosophy applies 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.
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.
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. Overuse AI – we obsessively explore and experiment with Claude to push the frontier of applied AI and share what we learn with teammates. 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.
Responsibilities
- Set technical direction for AI products for clients.
- Write production‑ready code and spend roughly 75% of time in code.
- Serve as the person the team looks to when something is hard.
- Spend about 25% of time working directly with clients (often their CTOs) to understand problems, walk through tradeoffs, and ensure solutions meet needs.
- Own end‑to‑end technical outcomes on a small, high‑caliber team (2–5 engineers and a PM).
Requirements
- 8+ years of engineering experience, with deep care for the craft.
- Shipped multiple complete products end‑to‑end and write elegant, production‑ready code across multiple disciplines.
- Specific interest in applying software engineering fundamentals to AI systems; balancing frontier model capabilities with good system design.
- Comfort talking with senior technical stakeholders; navigate conversations skillfully and care about people using what you build.
- High ownership mindset; jump in without instruction, embrace a "no job too big, no job too small" attitude, and want to shape strategy and culture.
- Low ego, high integrity; help others and ask for help; hold a high bar for honesty with yourself and your team.
Benefits
- Competitive compensation package: attractive salary aligned with experience and skills.