ABOUT THE ROLE
As the first senior AI hire at an early-stage AI company, you will own the quality and intelligence of multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops that help the product deliver reliable results.
WHAT YOU'LL DO
- Improve agent outputs and content quality across social channels and article writing, and build evaluations that make quality measurable.
- Improve search engine optimization and generative engine optimization performance.
- Build feedback loops that help agents learn from real-world results and performance signals.
- Improve AI infrastructure, agent architecture, model strategy, and supporting data pipelines.
- Help hire and lead the AI team as it grows.
WHAT WE'RE LOOKING FOR
- At least 3 years of experience building production machine learning or AI systems, including recent hands-on work shipping LLM products or agents.
- Experience designing evaluation systems and using outcome signals at scale in search, ranking, recommendations, or related domains.
- Proficiency in TypeScript, including Next.js, and Python for data analysis, evaluations, and model work, with the ability to ship end to end.
- Production experience with applied AI, such as LLM reasoning, post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.
- Experience building feedback loops and improving production AI infrastructure, agent architecture, or model strategy.
- Ownership experience in a startup or small team, plus experience with search, ranking, or AI answer engines, particularly Google.
- Experience at a leading AI lab or comparable evidence of technical achievement is valued. Marketing or go-to-market experience, recommendation systems, algorithms, and reinforcement learning are relevant strengths.
COMPENSATION & BENEFITS
Target annual compensation is $180,000 to $230,000 USD. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California.