Engineering Manager, Agents

Bot Jobs; San Francisco (CA); On-site; USD 300,000 - 360,000; Full time

Benefits offered by this job

Equity

Job summary

Bot Jobs in San Francisco is seeking an Engineering Manager for the Agent Engineering team. You will lead engineers who build production-grade AI agents that handle complex customer interactions at scale across industries such as finance, healthcare, and hospitality.

You will partner with enterprise customers to understand operational pain points, drive the deployment lifecycle, and shape the agent platform roadmap with product and research teams.

Qualifications

• 1+ years of engineering management experience leading teams of 3–8 engineers on customer-facing products.
• 5+ years of industry software engineering experience with backend or product engineering focus.
• Proficiency in Python and TypeScript, including asynchronous programming patterns.
• Experience leading teams building complex distributed systems or customer-facing products.
• Strong communication skills and ability to work with enterprise customers.

Responsibilities

• Lead and grow a team of engineers building AI agents for complex customer interactions.
• Partner with enterprise customers to translate pain points into scalable AI solutions.
• Drive the full agent deployment lifecycle from implementation to optimization.
• Collaborate with product, design, and research to identify cross-customer trends for platform evolution.
• Help define technical strategy and roadmap for AI-powered customer support.
• Mentor engineers with technical guidance and career development.
• Maintain a high engineering bar while fostering ownership and customer focus.

Skills

Engineering management

Python

TypeScript

Distributed systems

Customer communication

Job description

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Client Roles

About the Role

This is an Engineering Manager role on the Agent Engineering team, responsible for leading engineers who build and ship production-grade AI agents that handle complex customer interactions at scale. The team sits at the intersection of cutting-edge AI and real enterprise impact, deploying mission-critical agents that serve millions of end users across industries including finance, healthcare, and hospitality.

What You'll Do

• Lead and grow a team of engineers building AI agents designed to outperform human agents on complex support and retention workflows.
• Partner directly with enterprise customers to understand operational pain points and translate them into scalable AI agent solutions.
• Drive execution across the full agent deployment lifecycle, from initial implementation through continuous iteration and optimization.
• Collaborate with product, design, and research to identify cross-customer trends that shape the evolution of the agent platform.
• Help define technical strategy and roadmap for AI-powered customer support.
• Mentor engineers through technical guidance, feedback, and career development.
• Maintain a high engineering bar while fostering a culture of ownership, velocity, and customer focus.

What We're Looking For

• 1+ years of engineering management experience leading teams of 3 to 8 engineers on customer-facing products.
• 5+ years of industry software engineering experience, with a strong backend or product engineering background and hands-on technical contribution.
• Proficiency in Python and TypeScript, including asynchronous programming patterns.
• Experience leading teams building complex distributed systems or customer-facing products.
• Comfort diving into system failures across deep technology stacks using any available tooling.
• Strong communication skills and the ability to work directly and effectively with enterprise customers.
• Background from a high-growth, talent-dense startup or a quantitative firm is a strong plus.
• Experience with LLMs, agentic workflows, or multi-modal models is a meaningful advantage.

Compensation & Benefits

Salary range: $300,000 to $360,000 USD annually. Equity included. Visa sponsorship is not available for this role.

Location

On-site in San Francisco, California, USA. This is not a remote role.