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About Refold AI
Refold AI is the AI integration platform built for agents, made for modern SaaS companies that need to ship enterprise integrations at scale. We're reimagining integrations with AI agents that work like business consultants and integration engineers, building them 10x faster, in hours instead of days. The payoff: integrations stop being a bottleneck that costs you deals and burns margin, and become a growth engine. You win the enterprise deals that hinge on them, onboard faster, and scale without an army of consultants.
We've grown rapidly, reaching seven-figure ARR and 30+ paying customers, powering the product and professional services teams at modern SaaS companies, from Incorta, Kantata, and Coupa to Highradius, Naehas, and OvationCXM.
Refold AI has raised $6.5M from world-class investors including Eniac Ventures (early investors in Airbnb & Uber), Tidal Ventures, and Better Capital.
About this role
The Salesforce Developer is Refold’s resident Salesforce expert, responsible for architecting and owning our most complex enterprise Salesforce integrations. You bring deep, hands-on experience across the Salesforce ecosystem, with a strong understanding of Salesforce architecture, enterprise workflows, data models, APIs, and how Salesforce connects with the broader enterprise technology landscape. You define the technical approach for complex problems where established playbooks don't exist and serve as the primary technical point of contact for enterprise customers on Salesforce architecture, integrations, and implementations.
Team: Senior technical individual contributor within the Delivery organisation, owning Salesforce architecture and complex enterprise implementations.
Building: Mission-critical, agentic AI integrations involving complex Salesforce environments at enterprise scale, solving problems for which no established playbook exists.
You'll work with: CTOs, CIOs, VPs of Engineering, Salesforce leaders, and enterprise architecture teams at Fortune 500 enterprises and $50M+ ARR software companies.
What you'll do:
Own architecture for complex Salesforce implementations. Design and deliver 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.
Be the technical point of contact for enterprise accounts. Serve as the senior Salesforce technical voice customers trust, taking ownership of critical implementation initiatives, solution design, and technical problem-solving.
Make critical technical decisions. Drive 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.
Build scalable integrations. Design and implement robust integrations between Salesforce and enterprise systems using REST/SOAP APIs, Platform Events, Change Data Capture, middleware, and other integration patterns.
Speak credibly to enterprise security teams. 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.
Shape product direction. Translate recurring challenges across Salesforce implementations, customer accounts, and enterprise deals into product requirements, reusable capabilities, and architectural improvements, partnering closely with Product and Engineering.
Codify what works. Build Salesforce reference architectures, implementation patterns, solution blueprints, reusable components, and technical runbooks that improve delivery efficiency and scale implementation knowledge across the team.
Support high-stakes enterprise deals. Partner with pre-sales and customer-facing teams to lead technical discovery, architecture reviews, solution design discussions, proof of concepts, and technical deep dives.
What we're looking for:
3-5 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.
Mandatory 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, with the ability to engage credibly with CIOs, CTOs, VPs of Engineering, Salesforce leaders, and enterprise architects.
Startup-grade agency, high ownership, low ego, and comfort with ambiguity and building the playbook as you go.
Nice to have:
Hands-on experience with LLMs and agentic frameworks (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/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 (AWS, GCP, and Azure), containerised environments (Docker and Kubernetes), and modern data infrastructure.