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Refold AI

AI-driven enterprise integration automation platform

Senior Solutions Engineer

Pre-Sales Solution EngineeringUpdated on Nov 11
Full-timeSan Francisco, CA, USANo salary listedHybrid

About the Job

Requirements

  • Requires 5–8 years of experience in solutions engineering, pre-sales, or technical consulting at a SaaS, data, or AI company.
  • Requires hands-on experience with APIs and data integration, and sufficient proficiency in Python and/or JavaScript/TypeScript to build a working prototype independently.
  • Requires experience with systems of record such as SAP, Oracle, NetSuite, Workday, Salesforce, and Dynamics, including custom fields, schema mapping, OAuth, retries, and idempotency.
  • Requires experience selling to or working with product and professional services teams at software companies, and understanding the implications when the buyer's customer is the end user.
  • Requires the ability to engage CTOs and participate in security reviews and live demos.
  • Requires ownership and comfort developing a playbook while handling live deals.

Responsibilities

  • Lead discovery, demonstrations, and architecture discussions from the first call through signature, and own technical win outcomes.
  • Build working prototypes using customers' systems and data, including SAP, Oracle, NetSuite, Workday, and Salesforce.
  • Design focused proof-of-concept evaluations with explicit success criteria, timelines, and exit conditions, and help demonstrate value within days.
  • Translate schema mapping, authentication flows, multi-tenancy, and in-tenant deployment for technical and business audiences.
  • Own architecture reviews, security questionnaires, and RFP/RFI responses, including air-gapped and in-tenant deployment discussions.
  • Coordinate with Delivery and Forward Deployed Engineers to hand off a concrete technical plan for each go-live.
  • Surface product gaps and field friction and contribute them to the product roadmap.
  • Develop the sales-engineering function's demo library, discovery framework, proof-of-concept playbook, reference architectures, and competitive analyses of iPaaS incumbents.

Desired Qualifications

  • Background in iPaaS, middleware, integration, or data infrastructure, or a track record of selling against MuleSoft, Boomi, Workato, or SnapLogic.
  • Hands-on experience with large language models and agentic frameworks.
  • Experience with air-gapped, in-tenant, or customer-VPC deployments and related security discussions.
  • Experience with cloud infrastructure such as AWS, GCP, or Azure, and containerized environments such as Docker or Kubernetes.
  • First-sales-engineer or early-stage experience building a function.
  • Experience working day to day with an offshore engineering or delivery team.

About the Company

Refold AI

AI-driven enterprise integration automation platform

Refold AI builds an AI-powered platform that automates enterprise software integrations. Its system uses autonomous AI agents that learn how big software environments work, automatically generate and update integration code, and adapt to API changes without human help. The platform is used to connect ERP and CRM systems, finance, and supply chain workflows, and it works with SAP, Oracle, and Workday. Instead of charging by the hour like traditional consultancies, Refold aims to productize and automate integration tasks so projects that used to take months can be finished in days. The company has a seed-founded model with customers and users, processes millions of API calls monthly, and plans to expand its engineering team and integrations. The goal is to reduce the cost and time of enterprise integrations by providing a scalable, AI-driven automation layer that replaces manual configuration and ongoing consulting for large-scale systems.

Company size
51-200
Company stage
Seed
Total funding
$6.5M
Headquarters
San Francisco, CA
Founded
2022

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