Deployment Engineer

About the 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.
• Prior forward deployed, solutions, or professional services engineering experience (nice to have).
• Experience with enterprise platforms like Salesforce, ServiceNow, or SAP (nice to have).
• Experience deploying AI agents or LLM systems for customers (nice to have).
• Experience in early-stage startups (nice to have).

Benefits

• MacBook Pro
• Premium AI development tools
• Cursor Ultra
• Claude Code Ultra
• OpenAI Codex Max or equivalent advanced AI tooling
• Access to a high-performance AI product environment
• Close collaboration with leadership, engineering, and customers
• Opportunity to work in the San Francisco AI ecosystem
• Wellness and productivity support where applicable
• Competitive startup environment
• High ownership
• Direct product impact
• Benefits may depend on role and final offer terms.

Pay

Competitive salary plus meaningful equity.