AI Go-to-Market Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, implement, train, and continuously enhance AI agents and automation within Flosum’s revenue framework.

• Launch and personally train an AI SDR agent within the initial 30 days for inbound qualification or outbound prospecting.

• Conduct weekly refinement cycles for AI agents until their performance surpasses the lower half of the human BDR team.

• Develop real-time AI-driven inbound qualification processes to capture, assess, and direct website visitors and form submissions.

• Automate CRM maintenance, Gong call summaries, follow-up sequences, proposal creation, and pipeline updates.

• Design AI integrations across Salesforce, Marketo, Outreach, Qualified, and Gong.

• Create and sustain an AI-enhanced competitive intelligence system to monitor competitors, pricing, and product launches.

• Generate hyper-personalized outbound campaigns utilizing account research, ICP signals, and multichannel sequencing.

• Establish closed-loop feedback between BDR activities, pipeline outcomes, and AI agent performance.

• Implement AI-assisted customer health scoring and churn prediction models.

• Prototype AI-driven product-led growth touchpoints, including conversational website qualification and self-service onboarding support.

• Assess, select, and implement up to two AI vendors per use case utilizing a structured bake-off methodology.

• Report directly to the CEO.

⛳️ Requirements

• Practical experience in deploying and training AI SDR/BDR agents in a genuine B2B sales context, with weekly iterations for at least 90 days.

• Comprehensive knowledge of Salesforce, Marketo or similar MAP, Outreach or Salesloft, Gong or Chorus, and Qualified or Drift.

• Proficiency in writing and maintaining production integrations using Python, JavaScript, or similar languages.

• Capability to deliver functional code and connect AI agents to CRM, MAP, and sequencing tools through APIs.

• Understanding of pipeline metrics and unit economics, including SQL requirements, stage conversion rates, and revenue objectives.

• Experience with orchestrating AI agents across various segments or functions.

• Skill in resolving agent conflicts, preventing duplicate outreach, and ensuring Salesforce data integrity.

• Ability to create prompt libraries, training datasets, and workflows for AI agent refinement.

• Comfort operating in a company with approximately $4M ARR and a small, high-performance team.

• Strong discernment regarding when AI should supplement or replace human efforts.

• Familiarity with the Salesforce ecosystem, including DevOps, CI/CD, data protection, and compliance procedures is a significant advantage.

🏝️ Benefits

• Competitive base salary plus performance bonus.

• Direct access to Salesforce ecosystem events and conferences (Dreamforce, TrailblazerDX).

• Customer engagement opportunities.

• A unique chance to influence enterprise Salesforce development.

• Direct collaboration with the CEO.

• The opportunity to impact Fortune 100 clients.

• A mission-driven culture emphasizing meaningful work and innovative ideas.