2 days ago
San Francisco, CA, USAMid Level
Base Salary
$200k - $300k/yr
Responsibilities
- Build the agent decision-making layer, including tool-calling loops, memory, context assembly, prompts, and model routing.
- Create conversation replay, turn-level judging, and regression-suite infrastructure to guide release decisions.
- Own mobile and web product experiences including onboarding, replies, follow-ups, group chats, approvals, and trusted-network features.
- Ship end-to-end features using experimentation and feature flags to measure outcomes.
- Build integrations with email, calendar, booking, payment, and browser tools with resilient workflows and user approval steps.
- Review conversation transcripts, speak with users, and use feedback and product data to guide priorities.
- Set engineering standards and help grow the team while remaining hands-on.
Requirements
- At least 4 years of software engineering experience at an AI product company, AI lab, or consumer product company.
- Production experience building agents with tool use, memory, long-running conversations, and evaluation systems that support release decisions.
- Full-stack proficiency with TypeScript, React, Next.js, and PostgreSQL.
- Experience with third-party APIs, OAuth, payments, or agent tooling such as function calling, MCP servers, or browser automation.
- A record of owning features end to end and demonstrating measurable product impact.
- Strong product judgment and experience shipping user-facing AI products, ideally for consumer audiences.
- Comfort with AI-assisted development workflows and the fundamentals needed to verify and own shipped work.
- Post-training or fine-tuning experience is a plus.
Benefits
- Base salary of $200,000 to $300,000 annually.
- On-site role in San Francisco, California.