R

Refold AI

AI-driven enterprise integration automation platform

Salesforce Developer

Enterprise ApplicationsPosted on Nov 11
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • Three to five years of experience in Salesforce development, Salesforce technical consulting, or enterprise solutions architecture, with a strong track record of designing and delivering complex Salesforce implementations.
  • Hands-on Salesforce development experience, including Salesforce Platform, Apex, Lightning Web Components (LWC), SOQL, and Salesforce automation capabilities.
  • Strong understanding of Salesforce products and architecture, including Sales Cloud, Service Cloud, Salesforce APIs, security models, data architecture, and enterprise implementation approaches.
  • Deep expertise in Salesforce integration capabilities, including REST/SOAP APIs, Platform Events, Change Data Capture, Bulk APIs, and middleware-based integration patterns.
  • Strong understanding of enterprise application landscapes, data modelling, distributed systems, and modern cloud infrastructure.
  • Ability to solve complex technical problems from first principles and design scalable solutions where established implementation patterns may not exist.
  • Strong technical communication skills and ability to engage credibly with CIOs, CTOs, VPs of Engineering, Salesforce leaders, and enterprise architects.
  • Agency, high ownership, low ego, and comfort with ambiguity and building the playbook as work progresses.

Responsibilities

  • Own architecture for complex Salesforce implementations by designing and delivering solutions across Salesforce ecosystems, including Sales Cloud, Service Cloud, Experience Cloud, Salesforce Platform, and related enterprise applications, addressing complex business workflows, data models, and cross-system dependencies.
  • Serve as the senior Salesforce technical point of contact for enterprise accounts, taking ownership of critical implementation initiatives, solution design, and technical problem-solving.
  • Drive critical technical decisions around Salesforce architecture, Apex development, Lightning Web Components (LWC), data modelling, automation, API integrations, authentication, governor limits, error handling, and performance at enterprise scale.
  • Design and implement robust integrations between Salesforce and enterprise systems using REST/SOAP APIs, Platform Events, Change Data Capture, middleware, and other integration patterns.
  • Engage with customer security and compliance stakeholders on Salesforce security architecture, role-based access controls, profiles, permission sets, SSO, OAuth, data security, and enterprise deployment practices.
  • Translate recurring challenges across Salesforce implementations, customer accounts, and enterprise deals into product requirements, reusable capabilities, and architectural improvements, partnering with Product and Engineering.
  • Build Salesforce reference architectures, implementation patterns, solution blueprints, reusable components, and technical runbooks to improve delivery efficiency and scale implementation knowledge across the team.
  • Partner with pre-sales and customer-facing teams to lead technical discovery, architecture reviews, solution design discussions, proof of concepts, and technical deep dives.

Desired Qualifications

  • Hands-on experience with LLMs and agentic frameworks, including OpenAI, Anthropic, open-source models, and agent orchestration.
  • Experience integrating Salesforce with AI-powered applications, autonomous agents, and enterprise automation platforms.
  • Prior experience as a Principal or Staff Salesforce Developer, Salesforce Architect, Technical Lead, Enterprise Solutions Architect, or Founding Solutions Engineer at a high-growth enterprise startup.
  • Salesforce certifications such as Platform Developer II, Platform Architect, Application Architect, or System Architect.
  • Experience with Salesforce products such as Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, and Salesforce Platform.
  • Experience with integration and middleware platforms such as MuleSoft, Workato, Boomi, or similar technologies.
  • Experience with cloud infrastructure such as AWS, GCP, and Azure; containerised environments such as Docker and Kubernetes; and modern data infrastructure.

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

Recently Posted Jobs

Explore more opportunities at Refold AI

See more jobs