AI Go-to-Market Engineer (Poland)

Flosum is a Salesforce-native DevOps and data protection platform serving enterprise Salesforce teams across the Fortune 5000. The company focuses on pipeline generation, retention, and product velocity, leveraging AI to accelerate these priorities.

• 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 using Python, JavaScript, or equivalent connecting AI agents to CRM, MAP, and sequencing tools via APIs.
• Understanding of pipeline math and unit economics to work backward from revenue targets to required SQLs, conversion rates, and AI interventions.
• Experience with AI agent orchestration managing multiple AI agents simultaneously, resolving conflicts, preventing duplicate outreach, and maintaining data quality.
• Demonstrated ability to build prompt libraries, training datasets, and refinement workflows treating agent training as a discipline.
• Comfort operating in a company with ~$4M ARR and a small, high-intensity team, performing work directly and scaling through automation.
• Strong judgment on when AI should replace human effort versus augment it.
• Familiarity with the Salesforce ecosystem including DevOps, CI/CD, data protection, and compliance workflows is a major advantage.

• Deploy and personally train at least one AI SDR agent within the first 30 days and run weekly refinement cycles 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 Flosum's GTM stack (Salesforce, Marketo, Outreach, Qualified, Gong) to enable data flow without manual intervention and shared AI learnings.
• Build and maintain an AI-driven competitive intelligence engine that monitors competition, pricing changes, and product launches.
• Create hyper-personalized outbound campaigns at 10x current volume using AI to research accounts, generate messaging, and sequence multi-channel touches.
• Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance to improve targeting, messaging, and channel mix.
• Deploy AI-assisted customer health scoring and churn prediction models to 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 with dedicated training commitments.