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