2 months ago
Responsibilities
- Act as the technical authority for agent architecture, quality, and deployment.
- Own the most complex and high-risk customer launches and recoveries.
- Define standards for agent design, prompts, evaluations, monitoring, and launch readiness.
- Identify systemic gaps and drive solutions to reduce repeat incidents and toil.
- Partner closely with Platform, Data Science, and Product teams to shape agent strategy.
- Design reusable frameworks that convert customer work into durable platform leverage.
- Lead by example in reviews, incidents, retrospectives, and hard tradeoff decisions.
- Mentor Staff and Senior engineers to raise the bar across the organization.
Requirements
- 10+ years of software engineering experience, including senior technical leadership.
- Proven track record of owning large, ambiguous systems in production.
- Deep understanding of system design, failure modes, and operational excellence.
- Strong intuition for AI agent behavior, evaluation, and risk management.
- Ability to set standards and influence without formal authority.
- Calm, decisive leadership during incidents and crunch time.
- High bar for quality, leverage, and long-term system health.