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Solutions Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Greylock
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 88000 - 220000 USD Yearly USD 88000.00 220000.00 YEAR
Job Description & How to Apply Below

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We recently backed a company that is focused on ERP modernization. Founded by repeat entrepreneurs and cloud visionaries, this company is using cutting-edge AI to solve a $400B+ problem—making large-scale ERP transformations faster, smarter, and radically more predictable. If you've ever seen an SAP or Oracle implementation go off the rails, you know how massive this opportunity is.

This role will focus on partnering with enterprise customers to run high-impact POCs,

configure and tune AI Agents, and turn pilot projects into paying customers and long-term wins.

What You’ll Do

  • Lead pre-sales engagements:
    Collaborate with sales and customers to define goals and run tailored POCs that demonstrate real value.
  • Configure and tune AI agents:
    Use our no-code/low-code tools to set up agent workflows, tune outcomes, and ensure the product delivers on customer goals.
  • Translate customer needs into action:
    Help define success criteria and align solutions with the customer’s business goals, even if they’re non-technical.
  • Work cross-functionally:
    Be the connective tissue between sales, product, and engineering—providing critical insights from the field to shape our roadmap.
  • Own the setup experience:
    Take new customers from “curious” to “live” quickly and effectively. You’ll guide the first impression of our platform.

What We’re Looking For

  • 2–5 years in a customer-facing technical role (e.g., Solutions Engineer, Implementation Specialist, Product Analyst)
  • Experience running or supporting enterprise POCs or pilots
  • Comfortable working in ambiguous startup environments — you figure things out and get things done
  • Familiarity with configuring SaaS tools, no-code/low-code platforms, or data-driven systems
Seniority level
  • Seniority level

    Mid-Senior level
Employment type
  • Employment type

    Full-time
Job function
  • Job function

    Engineering and Information Technology
  • Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet

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