# Deployment Strategist

**Company:** [Auctor](https://hotfix.jobs/companies/auctor)
**Location:** New York, NY
**Role:** Solutions Architecture
**Salary:** $130k – $230k/yr
**Experience:** 2+ years
**Skills:** Salesforce, Oracle, SAP, NetSuite, Workday, Servicenow, APIs, AI Agents, Enterprise Software Implementations, Requirements Gathering, Solutions Architecture, Data Analysis, Business Analysis, Onboarding, AI/ML
**Posted:** 2025-12-17

> Deploys Auctor's AI platform by configuring agents for customer workflows, leading onboarding/training, and delivering demos for enterprise software implementations. Requires 2-10+ years in consulting/professional services/solutions engineering with technical comfort.

## Job Description

## Responsibilities
- Meet with customer teams to understand their implementation methodology, pain points, and critical deliverables
- Configure and customize Auctor's AI agents to match customer workflows and artifact requirements
- Lead onboarding and training sessions to ensure teams are productive from day one
- Identify opportunities to expand Auctor's value across new project types, teams, and use cases
- Work directly with engineering to translate field insights into product improvements
- Build and deliver demos to prospective customers across industries
- Document best practices and create playbooks that scale our deployment approach
- Present results and proposals to audiences ranging from consultants to practice leaders to C-suite executives
- Travel to customer sites and industry conferences to represent Auctor

## Requirements
- 2-10+ years of experience in consulting, professional services, customer success, or solutions engineering—ideally in enterprise software
- Strong written and verbal communication skills
- Experience with technical concepts; comfort with data, APIs, and configuration (coding not required but a plus)

## Nice to Haves
- Familiarity with enterprise platforms (**Salesforce**, **Oracle**, **SAP**, **NetSuite**, **Workday**, **ServiceNow**) or implementation methodologies
- Direct experience running or supporting enterprise software implementations
- Background in requirements gathering, business analysis, or solutions architecture
- Experience at an early-stage startup
- Exposure to AI/ML products and their deployment

## Compensation
**$130,000-$230,000** base salary range plus competitive equity package, health/dental/vision insurance, flexible PTO

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