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Remote, mid-level role with broad AI and GTM requirements raises applicant density despite niche skills.
Strong GTM/RevOps and Salesforce focus limits transferability across unrelated industries.
Explicit 5+ years, mandatory production code, Salesforce and AI agent orchestration requirements enforce strict shortlisting.
Architect and deploy custom AI integrations connecting CRM, Sales Engagement platforms, and other GTM tech stack components to augment revenue workflows.
Optimize the revenue ecosystem by auditing tech stack, reducing vendor spend, and implementing predictive AI models for pipeline and next-best-action recommendations.
Collaborate cross-functionally with Customer Success, Marketing, and RevOps to automate administrative tasks and improve sales velocity and retention through AI-driven workflows.
5+ years experience in Marketing/Revenue Operations or GTM Engineering with deep knowledge of SaaS leads-to-revenue funnels.
Proficiency in coding production integrations using Python, JavaScript, HTML or equivalent to connect AI agents via APIs to CRM (Salesforce) and other GTM tools.
Strong working knowledge of B2B GTM stack including Salesforce CRM, Clay, Claude, Outreach, Gong or Chorus.
Work Experience Required: 5+ years in relevant domain. Notice period: Not explicitly mentioned in the JD.
Experienced in building and maintaining AI agent orchestration across multiple GTM functions with focus on data integrity and conflict resolution.
Able to translate revenue targets into funnel metrics and identify AI interventions that compress sales pipelines effectively.
Skilled in creating and refining AI prompt libraries and training datasets, with discernment on balancing AI automation versus human augmentation in revenue operations.