Engineering Manager, Agent Studio
Player-coach Engineering Manager to lead and build AI agents that autonomously handle SDR workflows including prospecting, outreach, and follow-ups. Own deployment outcomes and customer revenue impact while spending significant time coding.
About the job
What You’ll Do
- Grow the team. Lead and mentor a high-performing engineering team, fostering an inclusive and innovative culture while overseeing hiring and team growth.
- Own the deployment outcome. GM-level responsibility for your customers' revenue numbers. We're aiming to 5x their meetings booked within a 1 month trial.
- Build agents across the breadth of a sales rep's workday. Account strategy, prospecting, outbound emails, LinkedIn DMs, gifting, call prep, followups. Each one requires going deep on how the rep actually works.
- Fully automate nuanced work on the SDR's behalf. These agents should learn over time, calibrate trust with the user, and have clear evals that prove they work.
- Embed into customers. Our customers have shared Slack channels with our engineers; you'll be on calls with users one day and shipping agent improvements back to them the next.
You might be a strong fit if
- 5+ years of engineering experience, ideally including time as a technical founder, founding engineer, or forward-deployed engineer at a place with a high bar.
- Production experience with AI agents. For example, you've shipped a prompt or tool change in response to a specific user complaint that same week.
- Strong opinions, held loosely, about which insights from the field belong in the platform vs as customer-facing modifiers.
- High agency. Comfortable owning an outcome without a clear playbook.
- Strong communication. You can explain the agent to a sales team, the team's needs to engineering, and the deployment status to leadership.
- Based in San Francisco, excited to be in-office 3+ days per week.
Skills
AI Agents, Prompt Engineering, Tool Calling, Llm Evaluation, Python, TypeScript, React, Node.js, AWS, Docker
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