Decagon

4 months ago

Senior Software Engineer, Enterprise Product

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Senior full-stack engineer building self-serve tools to configure, train, and deploy AI agents; collaborating with Agent Engineering and PM teams to design scalable interfaces that empower non-technical users, while delivering analytics and end-to-end ownership from architecture to deployment.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Eliminate manual engineering work by building self-serve functionality for agent configuration, training, and deployment.
•Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code.
•Design configuration abstractions that balance power and simplicity - handling diverse use cases while remaining accessible to non-technical teams.
•Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve.
•Own features end-to-end, from technical architecture through deployment and iteration.

Pay and Benefits

Salary: USD 250,000 - 330,000 annually

Equity and Bonus:Equity

Perks:Medical BenefitsDental BenefitsVision BenefitsPaid Leave

Key Requirements

•4+ years building full-stack software products with strong product thinking.
•Proficient in TypeScript and/or Python, comfortable working across the entire stack.
•Experience translating complex technical capabilities into simple, usable interfaces.
•Track record of balancing technical excellence with pragmatic shipping.
•Even better: experience building developer tools, APIs, platforms, or internal tools that became customer-facing; background with LLMs, prompt engineering, or AI agent systems.

Experience:4+ yearsSaaSAIConversational AICustomer experienceEnterprise software

Skills:CommunicationProblem-solvingCollaborationCuriosity

Tech Stack:TypeScriptPythonLLMsPrompt engineeringAsynchronous programmingData visualizationAnalyticsAPIs

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

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Decagon

4 months ago

Senior Software Engineer, Enterprise Product

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Eliminate manual engineering work by building self-serve functionality for agent configuration, training, and deployment.
•Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code.
•Design configuration abstractions that balance power and simplicity - handling diverse use cases while remaining accessible to non-technical teams.
•Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve.
•Own features end-to-end, from technical architecture through deployment and iteration.

Pay and Benefits

Salary: USD 250,000 - 330,000 annually

Equity and Bonus:Equity

Perks:Medical BenefitsDental BenefitsVision BenefitsPaid Leave

Key Requirements

•4+ years building full-stack software products with strong product thinking.
•Proficient in TypeScript and/or Python, comfortable working across the entire stack.
•Experience translating complex technical capabilities into simple, usable interfaces.
•Track record of balancing technical excellence with pragmatic shipping.
•Even better: experience building developer tools, APIs, platforms, or internal tools that became customer-facing; background with LLMs, prompt engineering, or AI agent systems.

Experience:4+ yearsSaaSAIConversational AICustomer experienceEnterprise software

Skills:CommunicationProblem-solvingCollaborationCuriosity

Tech Stack:TypeScriptPythonLLMsPrompt engineeringAsynchronous programmingData visualizationAnalyticsAPIs

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