Manager, Agent Architecture US

Parloa•New York, NY

2d•$160,000 - $180,000

About The Position

Parloa is hiring a Manager, Agent Architecture to build and lead its Agent Architect team while remaining hands-on in customer delivery. The manager hires, coaches, and sets goals for the team, oversees the quality of AI Agents they deliver, and spends a significant portion of their capacity on live customer engagements. The role combines people leadership, capacity planning, stakeholder alignment, customer implementation work, and the definition and enforcement of agent-quality standards. The manager guides enterprise customers through AI Agent implementations from strategic advice and scoping through end-to-end delivery, serves as an escalation point when performance degrades, and turns recurring field problems into structured product feedback.

Requirements

Experience leading people as a formal manager, team lead, or through sustained mentorship with responsibility for a group's growth and output.
At least 3 years of conversation design and AI agent development experience.
Track record of building scalable solution architecture and conversational experiences grounded in real user needs.
Advanced prompt engineering skills.
Comfort integrating REST APIs and working with JavaScript.
Strong project and stakeholder management skills.
Significant experience working with enterprise customers, including in escalated or high-pressure situations.
Sound judgment in capacity planning and prioritization, including the ability to explain what the team can and cannot absorb.

Nice To Haves

A strong coaching track record; first-time managers are welcome.

Responsibilities

Hire Agent Architects, conduct weekly 1:1s, performance reviews, and career conversations, and create development plans.
Set ramp expectations for new hires and coach Associate and mid-level Agent Architects on prompt engineering, conversation design, and customer-facing judgment.
Set team goals and OKRs aligned with Professional Services priorities.
Manage capacity and workload across concurrent engagements and raise resourcing tradeoffs early.
Represent the Agent Architecture team to Sales, Product, Engineering, customers, and partners.
Guide customers through AI Agent implementations, from strategic advice and scoping to end-to-end delivery.
Serve as the escalation point when agent performance degrades.
Define and enforce agent-quality standards through reviews and make them repeatable across live projects.
Document best practices for internal and external audiences.
Turn recurring field problems into structured feedback for Product.