About this role
Salary: £63,000 - 103,000 per year
Requirements: Hands-on experience deploying and training AI SDR/BDR agents in a real B2B sales environment, with weekly iteration for at least 90 daysDeep working knowledge of the modern B2B GTM stack, including Salesforce, Marketo or equivalent MAP, Outreach or Salesloft, Gong or Chorus, and real-time chat/qualification tools like Qualified or DriftAbility to write and maintain production integrations in Python, JavaScript, or equivalent, connecting AI agents to CRM, MAP, and sequencing tools via APIsStrong understanding of pipeline math and unit economics, including conversion rates by stage and revenue target planningExperience with AI agent orchestration across multiple agents, including conflict resolution, duplicate outreach prevention, and data quality management in SalesforceDemonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agentsComfort operating in a company with approximately $4M ARR and a small, high-intensity teamStrong judgment on when AI should replace human effort versus augment itFamiliarity with the Salesforce ecosystem, with an understanding of DevOps, CI/CD, data protection, and compliance workflows as a major advantage Responsibilities: Deploy and personally train at least one AI SDR agent within the first 30 days and refine it weekly until it outperforms the bottom half of the human BDR benchBuild an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real timeIncrease revenue-generating time per AE by automating CRM hygiene, call summarization, follow-up sequencing, proposal drafting, and pipeline updatesArchitect the AI layer across our GTM stack so data flows between systems without manual intervention and every customer touchpoint is capturedBuild and maintain an AI-driven competitive intelligence engine that monitors competition, pricing changes, and product launches and feeds insights to sales and product weeklyCreate hyper-personalized outbound campaigns at 10x current volume without proportional headcount increaseInstrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance to improve targeting, messaging, and channel mix each weekDeploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewalPrototype AI-powered product-led growth touchpoints, including conversational qualification, self-serve onboarding assistance, and automated nurture for trial usersEvaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology Technologies: AIArchitectCI/CDCRMDevOpsJavaScriptMarketingPythonSalesforceSupport More:
We are Flosum, a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. We are hiring our first AI Go-to-Market Engineer to architect, deploy, train, and continuously optimize AI agents and automation across our entire revenue engine, from first touch to closed-won to expansion. This is a builder role at the intersection of revenue operations, sales, marketing, and customer success, and you will report directly to our CEO. We offer a category-defining opportunity, direct CEO partnership, a Fortune 100 customer base, and the chance to shape how enterprises build on Salesforce as AI agents and Agentforce reshape the market. Our culture is missionary and high-intensity, and we provide competitive base salary plus performance bonus, along with access to Salesforce ecosystem events, conferences, and customer engagement.
last updated 40 week of 2026