Decagon

6 months ago

Field Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Systems-minded engineer building internal tooling, data infrastructure, and automated workflows to keep User Operations aligned with Product and Engineering. You’ll design scalable launch-readiness systems, implement feedback loops between support, product, and engineering, automate repetitive tasks, and prototype quickly with tools like Python, SQL, Retool, and ChatGPT. This IC role emphasizes shipping robust software and cross-functional collaboration in a fast-growing AI platform company.

Location: New York

Workplace: Onsite

Employment Type: Full time

Key Responsibilities

•Coordinate product launches across internal User Operations teams and external partners to guarantee seamless execution and support readiness.
•Architect launch-readiness systems that replace ad-hoc docs and meetings with automated workflows, dashboards, and alerting to build for scale.
•Develop and implement scalable feedback loops between support, product, and engineering so customer insights are continuously integrated into product strategy.
•Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.
•Collaborate cross-functionally with Product, Engineering, Marketing, Legal, and Operations to align on launch goals, timelines, and readiness metrics.

Pay and Benefits

Salary: USD 200,000 - 280,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•4+ years experience in project launch coordination, especially within a customer support environment (internal and/or external).
•Proficient in production-grade code in Python, SQL, or similar languages.

Experience:4+ yearsSaaSAI

Skills:CommunicationProblem-solvingCross-functional collaborationWritingTeamwork

Tech Stack:PythonSQLChatGPTJupyterRetool

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

6 months ago

Field Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Key Responsibilities

•Coordinate product launches across internal User Operations teams and external partners to guarantee seamless execution and support readiness.
•Architect launch-readiness systems that replace ad-hoc docs and meetings with automated workflows, dashboards, and alerting to build for scale.
•Develop and implement scalable feedback loops between support, product, and engineering so customer insights are continuously integrated into product strategy.
•Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.
•Collaborate cross-functionally with Product, Engineering, Marketing, Legal, and Operations to align on launch goals, timelines, and readiness metrics.

Pay and Benefits

Salary: USD 200,000 - 280,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•4+ years experience in project launch coordination, especially within a customer support environment (internal and/or external).
•Proficient in production-grade code in Python, SQL, or similar languages.

Experience:4+ yearsSaaSAI

Skills:CommunicationProblem-solvingCross-functional collaborationWritingTeamwork

Tech Stack:PythonSQLChatGPTJupyterRetool

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