Decagon

1 day ago

Engineering Manager, Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Lead a team in Decagon’s Agent Engineering group to build and ship AI agents that deliver concierge customer support across voice, chat, email, and SMS. Partner with enterprise customers to turn operational pain points into scalable agent solutions, drive deployments from implementation through iteration, and collaborate with product, design, and research to evolve the agent platform. Mentor engineers, define technical strategy and roadmap, and scale reliable experiences to millions of users.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a team of engineers building AI agents that outperform human agents in complex customer interactions and retention.
•Partner with enterprise customers to understand operational pain points and translate them into scalable AI agent solutions.
•Drive execution across the full lifecycle of agent deployments, from initial implementation through continuous iteration and optimization.
•Partner with product, design, and research to identify cross-customer trends guiding the evolution of the agent platform.
•Define technical strategy and roadmap, support and mentor engineers, and maintain a high engineering bar.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionLife InsuranceDisability401kParental Leave

Key Requirements

•1+ years of engineering management experience.
•5+ years of software engineering industry experience.
•Proficiency with Python, Typescript, and asynchronous programming.
•Experience leading teams building complex distributed systems or customer-facing products.
•Comfort debugging system failures in deep technology stacks and communicating effectively with enterprise customers.

Experience:Distributed systemsCustomer-facing productsAI systemsLLM applicationsAgentic workflows

Skills:MentoringCommunicationOwnershipCustomer obsession

Tech Stack:PythonTypescriptAsynchronous programmingMulti-modal modelsLLM applications

Company Brief

Decagon

Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2023

Glassdoor: 3.9

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Decagon

1 day ago

Engineering Manager, Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead and grow a team of engineers building AI agents that outperform human agents in complex customer interactions and retention.
•Partner with enterprise customers to understand operational pain points and translate them into scalable AI agent solutions.
•Drive execution across the full lifecycle of agent deployments, from initial implementation through continuous iteration and optimization.
•Partner with product, design, and research to identify cross-customer trends guiding the evolution of the agent platform.
•Define technical strategy and roadmap, support and mentor engineers, and maintain a high engineering bar.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionLife InsuranceDisability401kParental Leave

Key Requirements

•1+ years of engineering management experience.
•5+ years of software engineering industry experience.
•Proficiency with Python, Typescript, and asynchronous programming.
•Experience leading teams building complex distributed systems or customer-facing products.
•Comfort debugging system failures in deep technology stacks and communicating effectively with enterprise customers.

Experience:Distributed systemsCustomer-facing productsAI systemsLLM applicationsAgentic workflows

Skills:MentoringCommunicationOwnershipCustomer obsession

Tech Stack:PythonTypescriptAsynchronous programmingMulti-modal modelsLLM applications

Company Brief

Decagon

Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2023

Glassdoor: 3.9

Website LinkedIn Glassdoor