AI & Automation Manager, Business Operations

Job description

Responsibilities AI Systems Development: Build, deploy, and improve AI-powered workflows, agents, and business applications using LLMs, structured outputs, evaluations, and tools such as Claude Code and Cursor. Deliver reliable solutions for critical workflows across go-to-market, operations, and member experiences. Automation & GTM Engineering: Develop and maintain sophisticated workflows using platforms such as n8n, Zapier, Clay, and Google Apps Script. Build integrations and data processes across Salesforce, HubSpot, Outreach, Gong, and related systems to eliminate manual work and enable GTM execution. Internal Applications & Operational Products: Create lightweight internal applications, operational tools, dashboards, copilots, and AI-powered interfaces using low-code platforms, AI-assisted development, and custom code. Deliver intuitive products that help teams work more efficiently and make better decisions. AI Architecture & Data Infrastructure: Help establish the technical and data foundations required for reliable AI & automation solutions. Connect AI models to business data and external applications using APIs, tool calling, context management, retrieval-augmented generation, MCPs, vector databases, and comparable approaches. AI & Automation Strategy and Roadmap: Partner with Business Operations leadership to develop our AI & automation strategy and project roadmap. Evaluate emerging tools and recommend what we should prioritize to help shape Axial’s long-term operations objectives. Qualifications Experience: 5-8 years of experience designing and building technical solutions within Business Operations, GTM Engineering, RevOps, Automation, Software Engineering, or similar technical operating roles at a high-growth technology company. Interested in this work but earlier in your career? Explore our GTM Engineer role, designed for candidates with 1-4 years of experience. Operating Experience: Experience partnering with business leaders to identify operational bottlenecks, redesign workflows, and translate business objectives into durable technical solutions. Comfortable navigating ambiguity and balancing competing priorities across multiple stakeholders. Tool Experience: Strong hands-on experience across several of the following areas: LLMs and AI-assisted development tools such as Claude Code or Cursor; workflow automation platforms such as n8n, Zapier, Clay, Make, or Google Apps Script; and GTM systems such as Salesforce, HubSpot, Outreach, and Gong. Technical Proficiency: Comfortable writing and maintaining code in JavaScript, Python, SQL, Apps Script, or similar languages to extend automations, integrations, and internal applications. Experience working with APIs, authentication, webhooks, and structured data. Systems Thinking: Demonstrated ability to decompose complex operational problems and balance speed, maintainability, reliability, security, and user experience when developing solutions. Product & Business Judgment: Able to determine not only how to build a solution, but whether it should be built, how success should be measured, and how it fits within broader business priorities and technical architecture. Ownership: History of independently leading complex initiatives from problem definition through implementation, adoption, monitoring, iteration, and long-term durability. Communication & Collaboration: Excellent communicator who can explain technical concepts to non-technical audiences, influence cross-functional stakeholders, and build strong partnerships across both technical and business teams.