Skip to content
AuctorAuctor

Deployment Strategist

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.

About the job

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

Skills

Salesforce, Oracle, SAP, NetSuite, Workday, Servicenow, APIs, AI Agents, Enterprise Software Implementations, Requirements Gathering, Solutions Architecture, Data Analysis, Business Analysis, Onboarding, AI/ML

April

April

New York, NY

Solutions Consultant
$130k+/yrHybrid2+ YOESolutions Architecture

Guides clients through pre-sales solution design, onboarding, integrations, and post-launch optimization while advising on technical implementations. Requires 2–4 years in a client-facing technical role, strong API and data-integration knowledge, SQL, and excellent communication skills.

Baselayer

Baselayer

New York, NY

Solutions Engineer
$135k+/yrOn-site2+ YOESolutions Architecture

Supports customers with technical discovery, API integrations, solution design, demonstrations, training, and post-implementation guidance for identity verification products. Requires 2+ years of technical or customer-facing experience and familiarity with APIs and web technologies.

Standard Template Labs

Standard Template Labs

New York, NY

Forward Deployed Engineer
$140k+/yrOn-site2+ YOESolutions Architecture

Deploy and extend enterprise software in customer environments, building integrations, data pipelines, agent workflows, and tooling. The role requires 2–3 years of software experience, Python and TypeScript familiarity, third-party API integration experience, and comfort working directly with customers.

Lance

Lance

San Francisco, CA

Forward Deployment Engineer
$120k+/yrOn-site1+ YOESolutions Architecture

Deploy and customize AI agents in live hotel environments, integrating with existing software and shipping production fixes. The role requires at least one year of customer-facing software or deployment experience, coding ability, and strong communication with hotel operators.

Greptile

Greptile

San Francisco, CA

Customer Engineer
$140k+/yrOn-site1+ YOESolutions Architecture

Customer-facing technical role partnering with sales to lead discovery, proof-of-concepts, security diligence, and integrations for enterprise AI code-review deployments. Requires at least one year of software or DevOps engineering experience and strong JavaScript/TypeScript fundamentals.