Solutions Engineer (Datagrid)

Procore TechnologiesAustin, TX
Remote

About The Position

Procore is looking for a Solutions Engineer to join our Datagrid divisions go to market team and act as the technical bridge between our customers and product. You’ll partner closely with Account Executives, Product, and Engineering to understand client pain points, build AI Agents with our no-code solution, and demonstrate the power of our platform in action. You’ll be client facing working with operations leaders, technology teams, and executives to translate business challenges into intelligent automation solutions. This position reports to a Sales Manager and the preferred location is Austin, Texas, but we are open to remote US applicants. We’re looking for candidates to join us immediately.

Requirements

  • 3+ years in a solutions engineering, pre-sales, or customer-facing technical role
  • Strong understanding of AI / ML concepts, APIs, and cloud-based architectures
  • Hands-on experience with one or more: Python, AI Agent frameworks (Langraph or CrewAI), or Agentic automation tools
  • Excellent communication and storytelling skills — you can frame complex solutions in terms of measurable business impact
  • Strong prompt engineering skills - knowledge of best practices, Agent evaluation, etc
  • Comfort presenting to executives and technical audiences alike
  • Curiosity, resourcefulness, and the ability to thrive in a fast-paced startup environment

Responsibilities

  • Build agents to solve customer's most pressing problems, by writing AI instructions and configuring Tool usage
  • Partner with Sales to lead technical discovery calls and identify customer goals, data sources, and workflow needs
  • Design and deliver custom demos and proof-of-concepts (POCs) showcasing our AI agent capabilities
  • Translate customer requirements into technical solutions and implementation plans
  • Collaborate with Product and Engineering to influence roadmap priorities based on customer feedback
  • Support RFP responses, architecture diagrams, and security documentation
  • Educate customers on best practices for deploying and scaling AI systems
  • Serve as a trusted technical advisor throughout the sales cycle and early post-sale phase
  • Contribute to internal playbooks, demo environments, and reusable solution templates
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