Enterprise Deployment Architect

ReadyOn, Inc.; San Francisco (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

ReadyOn.AI is seeking a Deployment Strategist to join the Enterprise Partnerships team. You will work across Fortune 500 deployments, building configurations, running data analyses, and supporting training delivery.

You will also develop structured product intelligence to guide Engineering and Product, turning field insights into actionable feedback and reusable templates for faster future deployments.

Qualifications

• 0-3 years of professional experience in analytical roles.
• Degree in CS, Economics, Business, Data Analytics, Mathematics, Engineering, or similar.
• Familiarity with APIs, data exports, and system integrations.
• Ability to read scripts, automate tasks, and debug configurations.
• Excellent written and verbal communication for client calls.
• Nice to have exposure to enterprise SaaS, workforce management, or labor operations.

Responsibilities

• Execute Client Deployments: Own defined deployment workstreams, including go-live preparation, configuration troubleshooting, and manager training.
• Design Configurations and Solutions: Translate employer data and rules into system-ready configurations.
• Turn Field Insight into Product Direction: Surface field-level product gaps to Product and Engineering.
• Deliver Data Analysis and Reporting: Build deployment health dashboards, cross-customer operational analyses, and adoption and usage metrics.
• Automate and Reuse: Build reusable templates, scripts, playbooks, and analytical frameworks.

Skills

Analytical thinking

Data fluency

Technical intuition

Execution discipline

Communication skills

AI tools

Education

Bachelor's degree in CS/Engineering

Tools

APIs & Webhooks

Python (nice to have)

Job description

ReadyOn.AI is seeking a Deployment Strategist to join the Enterprise Partnerships team. You will work across Fortune 500 deployments, building configurations, running data analyses, and supporting training delivery.

You will also develop structured product intelligence to guide Engineering and Product, turning field insights into actionable feedback and reusable templates for faster future deployments.