AI Go-to-Market Engineer
F
FlosumDevOps, Data Protection
PolandFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonArtificial IntelligenceJavascriptSalesforceCI/CDDevOps
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, specifically 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 (Python, JavaScript, or equivalent) connecting AI agents to CRM, MAP, and sequencing tools via APIs.
- Understanding of pipeline math and unit economics, able to work backward from revenue targets and identify AI interventions.
- Experience with AI agent orchestration, managing multiple AI agents, resolving conflicts, preventing duplicate outreach, and maintaining data quality in Salesforce.
- Demonstrated ability to build prompt libraries, training datasets, and refinement workflows for AI agents.
- Comfort operating in a company doing ~$4M ARR with a small, high-intensity team, scaling through automation.
- Strong opinions on when AI should replace human effort versus augment it.
- Familiarity with the Salesforce ecosystem, including DevOps, CI/CD, data protection, and compliance workflows.
- Not a 'prompt engineering' role, but a 'builder' role at the intersection of revenue operations, sales, marketing, and customer success.
Responsibilities
- Deploy and personally train at least one AI SDR agent within the first 30 days, focused on inbound qualification or outbound prospecting, and run weekly refinement cycles.
- Build an AI-powered inbound qualification system to capture, score, and route website visitors and form fills in real time.
- Increase revenue-generating time per AE from ~25% to 50%+ 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) for seamless data flow and shared learnings.
- Build and maintain an AI-driven competitive intelligence engine that monitors competition and feeds structured insights to sales and product weekly.
- Create hyper-personalized outbound campaigns at 10x current volume using AI for account research, messaging generation, and multi-channel sequencing.
- Instrument a closed-loop data feedback system between BDR activity, pipeline outcomes, and AI agent performance.
- Deploy AI-assisted customer health scoring and churn prediction models to flag at-risk accounts.
- Prototype AI-powered product-led growth touchpoints, including conversational qualification, self-serve onboarding, and automated nurture for trial users.
- Evaluate, select, and deploy AI vendors for each use case using a structured bakeoff methodology.
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