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AI GTM Architect (Revenue Operations)

Job Overview

Location

United States

Job Type

Full-time

Category

Software Engineering

Date Posted

June 19, 2026

Full Job Description

đź“‹ Description

  • • Design and scale AI-driven workflows that power Outreach’s revenue engine by translating GTM strategy into intelligent automation within the platform.
  • • Architect how AI agents engage buyers across the entire revenue funnel—from new logo prospecting to deal acceleration, expansion, retention, and forecasting.
  • • Define the operational framework for AI-powered seller execution, ensuring automation enhances—not replaces—human sales conversations and strategic actions.
  • • Collaborate cross-functionally with Product, Sales, Marketing, BI, and Revenue Operations teams to align AI capabilities with real-world revenue processes.
  • • Translate performance insights and connected account visibility into actionable AI workflows that improve forecasting accuracy and revenue team efficiency.
  • • Evaluate and optimize AI use cases to ensure they deliver measurable impact on seller productivity, pipeline velocity, and customer retention.
  • • Serve as a bridge between technical AI capabilities and GTM operational needs, ensuring systems are intuitive, scalable, and trusted by end users.
  • • Identify gaps in current revenue operations where AI can automate repetitive tasks, reduce manual effort, and enable sellers to focus on high-value activities.
  • • Develop and document standardized processes for deploying, monitoring, and iterating on AI workflows across global revenue teams.
  • • Leverage conversation intelligence and assistive AI data to inform workflow design and ensure alignment with buyer behavior and sales dynamics.
  • • Partner with Product teams to prioritize feature development based on operational feedback and revenue outcome metrics.
  • • Ensure AI-driven automation adheres to ethical, compliant, and human-centric principles, maintaining trust and transparency with sales teams and customers.
  • • Monitor adoption and effectiveness of AI tools across revenue teams, using data to refine workflows and drive continuous improvement.
  • • Act as an internal advocate for AI-enabled GTM best practices, educating teams on how to leverage AI tools effectively and responsibly.
  • • Stay current with emerging AI trends in revenue operations and incorporate relevant innovations into Outreach’s platform strategy.
  • • Support the onboarding and enablement of new revenue teams by providing clear documentation, training materials, and operational guidance for AI workflows.
  • • Balance innovation with operational stability, ensuring AI systems are reliable, scalable, and aligned with enterprise-grade security and compliance standards.

🎯 Requirements

  • • Proven experience designing and scaling AI-powered go-to-market workflows in a B2B SaaS environment
  • • Deep understanding of revenue operations, sales processes, and buyer journey mapping
  • • Demonstrated ability to collaborate across Product, Sales, Marketing, and BI teams to drive cross-functional initiatives
  • • Strong data literacy with experience using analytics to measure AI workflow impact and optimize performance
  • • Experience with conversational AI, assistive AI, or automation platforms in a revenue context
  • • Ability to translate technical AI capabilities into clear operational workflows for non-technical stakeholders

🏖️ Benefits

  • • Opportunity to shape the future of AI in revenue operations at a market-leading platform
  • • Work with world-class enterprise clients including Databricks, SAP, Siemens, and Verizon
  • • Collaborative culture with cross-functional teams driving innovation in AI and GTM strategy
  • • Flexible remote work options within the United States

Skills & Technologies

Senior
Remote

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About Outreach Corporation

Outreach Corporation provides a sales execution platform that streamlines prospecting, deal management, and forecasting for B2B teams. The cloud software integrates email, voice, social, and meeting workflows, automates sequences, and surfaces AI-driven insights to improve rep productivity and revenue predictability. Founded in 2014 and headquartered in Seattle, it serves mid-market and enterprise customers worldwide.

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