Senior Salesforce Engineer, Agentic Revenue Lifecycle Management

About this role

Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us, and let the world feel your work As a Senior Salesforce Engineer specializing in Agentic Revenue Lifecycle Management Solution Engineering, you will be a core member of the CRM Systems team that builds and manages the tech stack powering Epidemic Sound's enterprise Go-to-Market operations.

Your role is to translate complex GTM business needs into scalable technical solutions, working across our Revenue Lifecycle Management (RLM) ecosystem with a focus on process design, solution architecture, and agentic ways of working. You will work at the intersection of Tech and Go-to-Market, where your ability to bridge business intent and technical execution directly empowers our Sales, Customer Success and Finance teams.

You will collaborate closely with GTM stakeholders and Tech teams, acting as the bridge between what the business needs and what gets built, without relying on translation layers in between. We support the entire Epidemic Group by enabling both the core business and new acquisitions. In this role, you will tie directly into our B2B revenue lifecycle management by standardizing, scaling, and unifying end-to-end GTM and financial workflows across expanding entities.

Your key responsibilities include - End-to-end solution delivery: Translate complex GTM business requirements into scalable, end-to-end RLM solutions, from discovery through to deployment. - Tech stack management & integration: Design, build, and maintain robust solutions within our GTM tech stack (centered on Salesforce), including integrations with tools like Gong, Ironclad, and HubSpot. - AI-driven workflow optimization: Implement agentic workflows and AI-driven automation to streamline GTM processes, identifying and evaluating new tools to drive efficiency and accuracy.