Deployment Engineer

Zof AI, Inc.

San Francisco (CA)

On-site

USD 150,000 - 210,000

Full time

20 hours ago

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Benefits offered by this job

MacBook Pro

Premium AI development tools

Cursor Ultra

Claude Code Ultra

OpenAI Codex Max

High-performance AI product env.

Close collaboration with leadership

SF AI ecosystem access

Wellness and productivity support

Competitive startup environment

High ownership

Direct product impact

Job summary

Zof AI, Inc. is seeking a Deployment Engineer to embed with enterprise customers and ensure AI agents operate effectively within their environments.

You will own the end-to-end delivery from business intent to a shipped, verified outcome, integrating agents into existing enterprise workflows. Ideal candidates will have a strong software engineering background and experience deploying AI agents or LLM systems for customers, with the ability to navigate legacy systems and fast-moving startup

Qualifications

Strong software engineering foundation.
Experience deploying or integrating systems in customer environments.
Ability to work directly with enterprise stakeholders.
Comfort with ambiguity, legacy systems, and imperfect access.
Strong ownership of outcomes, not just code.
Clear written and verbal communication.
Willingness to travel to customer sites when needed.
Comfort operating in a fast-moving environment.

Responsibilities

Embed with enterprise customers to deploy Zof AI in their environment.
Own delivery from business intent to shipped, verified outcome.
Integrate and optimize agents inside live customer systems and workflows.
Embed agents into enterprise platforms such as CRMs, ITSM, and internal tools.
Debug and harden deployments in environments you do not control.
Translate customer constraints into product and platform feedback.
Build reusable deployment patterns from repeated customer work.
Be the technical face of Zof AI inside customer organizations.

Skills

Software engineering

Deployment experience

Enterprise stakeholder engagement

Communication

Travel readiness

Tools

Salesforce

ServiceNow

SAP

Job description

Compensation

Competitive salary

Claude Code Ultra

All roles

San Francisco, CA

Deployment Engineer

San Francisco, CAFull-timeSeniorOn-site

Zof AI is hiring for this role in San Francisco, CA. This is a full-time opportunity for candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment.

Must be able to design, deploy, and debug agent systems inside real customer environments.

Compensation

Competitive salary

Plus meaningful equity

About This Role

Zof AI is seeking a Deployment Engineer to embed with enterprise customers and make AI agents work in their environment. This role owns the full arc from business intent to shipped outcome: scoping the real problem, deploying and optimizing agents in live customer systems, embedding them into enterprise platforms and workflows, and staying accountable until the outcome is delivered and verified. The ideal candidate is a strong engineer who thrives in front of customers and measures success in working systems, not demos.

Responsibilities

Embed with enterprise customers to deploy Zof AI in their environment.
Own delivery from business intent to shipped, verified outcome.
Integrate and optimize agents inside live customer systems and workflows.
Embed agents into enterprise platforms such as CRMs, ITSM, and internal tools.
Debug and harden deployments in environments you do not control.
Translate customer constraints into product and platform feedback.
Build reusable deployment patterns from repeated customer work.
Be the technical face of Zof AI inside customer organizations.

Requirements

Strong software engineering foundation.
Experience deploying or integrating systems in customer environments.
Ability to work directly with enterprise stakeholders.
Comfort with ambiguity, legacy systems, and imperfect access.
Strong ownership of outcomes, not just code.
Clear written and verbal communication.
Willingness to travel to customer sites when needed.
Comfort operating in a fast-moving environment.

Nice to have

Prior forward deployed, solutions, or professional services engineering experience.
Experience with enterprise platforms like Salesforce, ServiceNow, or SAP.
Experience deploying AI agents or LLM systems for customers.
Experience in early-stage startups.

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