About the Role
As the first senior AI hire at an early-stage AI marketing company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops, while helping build the AI team.
What You’ll Do

• Improve agent output and content quality across social platforms and article writing, using evaluation systems to measure results.

• Improve search engine optimization and generative engine optimization performance.

• Build feedback loops that help agents learn from real-world results and performance signals.

• Improve production 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 building production machine learning or AI systems, with recent hands-on experience shipping LLM products or agents.

• Experience designing evaluations and using outcome signals at scale in search, ranking, recommendations, or related domains.

• Strong TypeScript, including Next.js, and Python skills for data analysis, evaluations, and model work, with a track record of shipping end to end.

• Production experience in applied AI, such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.

• Experience building feedback loops and improving AI infrastructure, agent architecture, or model strategy in production.

• Experience owning and shipping work in a startup or small team, plus strong research or applied AI achievements.

• Search, ranking, or AI answer engine experience is valuable. Marketing or go-to-market experience is a plus; recommendation systems, algorithms, and reinforcement learning are also relevant backgrounds.

Compensation & Benefits
Annual base compensation is $180,000 to $230,000 USD. Visa sponsorship is available.
Location
On-site in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.

About the Role
As the first senior AI hire at an early-stage AI marketing company, you will own the quality and intelligence of its multi-channel marketing agents. You will shape the agent architecture, evaluation systems, and learning loops, while helping build the AI team.
What You’ll Do

• Improve agent output and content quality across social platforms and article writing, using evaluation systems to measure results.

• Improve search engine optimization and generative engine optimization performance.

• Build feedback loops that help agents learn from real-world results and performance signals.

• Improve production 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 building production machine learning or AI systems, with recent hands-on experience shipping LLM products or agents.

• Experience designing evaluations and using outcome signals at scale in search, ranking, recommendations, or related domains.

• Strong TypeScript, including Next.js, and Python skills for data analysis, evaluations, and model work, with a track record of shipping end to end.

• Production experience in applied AI, such as LLM reasoning or post-training, generative AI, agentic systems, search, recommendation systems, algorithms, or machine learning research.

• Experience building feedback loops and improving AI infrastructure, agent architecture, or model strategy in production.

• Experience owning and shipping work in a startup or small team, plus strong research or applied AI achievements.

• Search, ranking, or AI answer engine experience is valuable. Marketing or go-to-market experience is a plus; recommendation systems, algorithms, and reinforcement learning are also relevant backgrounds.

Compensation & Benefits
Annual base compensation is $180,000 to $230,000 USD. Visa sponsorship is available.
Location
On-site in San Francisco, California. Candidates must be based in or willing to relocate to San Francisco.