Remote AI Go-to-Market Engineer

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 days
• Deep 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 Drift
• Ability to write and maintain production integrations in Python, JavaScript, or equivalent, connecting AI agents to CRM, MAP, and sequencing tools via APIs
• Strong understanding of pipeline math and unit economics, including conversion rates by stage and revenue target planning
• Experience with AI agent orchestration across multiple agents, including conflict resolution, duplicate outreach prevention, and data quality management in Salesforce
• Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents
• Comfort operating in a company with approximately $4M ARR and a small, high-intensity team
• Strong judgment on when AI should replace human effort versus augment it
• Familiarity 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 bench
• Build an AI-powered inbound qualification system that captures, scores, and routes every website visitor and form fill in real time
• Increase revenue-generating time per AE by automating CRM hygiene, call summarization, follow-up sequencing, proposal drafting, and pipeline updates
• Architect the AI layer across our GTM stack so data flows between systems without manual intervention and every customer touchpoint is captured
• Build and maintain an AI-driven competitive intelligence engine that monitors competition, pricing changes, and product launches and feeds insights to sales and product weekly
• Create hyper-personalized outbound campaigns at 10x current volume without proportional headcount increase
• Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance to improve targeting, messaging, and channel mix each week
• Deploy AI-assisted customer health scoring and churn prediction models that flag at-risk accounts before renewal
• Prototype AI-powered product-led growth touchpoints, including conversational qualification, self-serve onboarding assistance, and automated nurture for trial users
• Evaluate, select, and deploy no more than two AI vendors per use case using a structured bakeoff methodology

Technologies

• AI
• Architect
• CI/CD
• CRM
• DevOps
• JavaScript
• Marketing
• Python
• Salesforce
• Support

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 28 week of 2026