Head of Automation
Shelf
| Company | Shelf |
| Category | Engineering |
| Location | New York City |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 3 Sept 2025 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Build the automation engine behind one of the fastest-growing enterprise AI companies. You'll define how AI transforms every function at Shelf, building the teams, systems, and strategy that power the next generation of business operations.
About Shelf
Shelf is the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so AI agents don't just respond—they reason. The result is AI that understands how your business actually operates and delivers precise, compliant, and auditable outcomes at scale.
Leading enterprises including Amazon, Nespresso, HelloFresh, and KeyBank use Shelf to power AI agents that automate complex workflows, improve operational efficiency, and transform manual processes into intelligent automation.
We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks , and have been recognized by Gartner as a Cool Vendor and by IDC as an Innovator for our approach to enterprise AI.
About the Role
The Head of Automation will spearhead Shelf's company-wide automation transformation, building and leading multiple specialized automation teams while establishing automation as a strategic function across all departments. This role combines deep technical expertise with strategic leadership to create AI-powered automation solutions that drive operational excellence throughout the organization.
This is a foundational leadership role reporting to the CTO with strong involvement from the CEO. You'll be the architect of Shelf's automation strategy, leveraging our internal Shelf AI Platform to create intelligent agents that transform processes across GTM, Product, Engineering, Operations, Finance, and Customer Success functions.
What makes this role unique is the opportunity to build automation capabilities from the ground up at a fast-growing AI company, with access to cutting-edge internal AI infrastructure. Unlike traditional automation roles focused on a single department, you'll have enterprise-wide scope and the autonomy to define how automation drives business value across every function.
This role offers exceptional growth potential for automation leaders who want to shape the future of AI-powered business operations. You'll be building not just processes, but the teams and infrastructure that will scale with Shelf from Series C to IPO and beyond.
What We're Looking For
Strategic Leadership: Proven experience building automation functions from scratch in high-growth environments.
Technical Excellence: Strong experience with Node.js, Python, GenAI/LLM technologies, and agentic frameworks across both no-code and code solutions.
Data & AI: Experience with data modeling, ontology design, and platforms such as Databricks and Snowflake.
Team Building: A track record of hiring and scaling technical teams across multiple specializations.
Startup Experience: Experience in high-growth startup environments, preferably Series A through Series C.
Hands-On Mindset: Comfortable building end-to-end automation solutions while leading strategic initiatives.
Cross-Functional Collaboration: Ability to partner effectively with every department to identify and prioritize automation opportunities.
Results-Driven: Focused on measurable automation adoption, reliability, and business impact.
Key Responsibilities
Strategic Leadership & Vision
Develop and execute company-wide automation strategy leveraging Shelf AI Platform's ontological graph structure.
Partner with department leaders to identify high-impact automation opportunities and establish automation roadmaps.
Define success metrics and KPIs for automation initiatives across all business functions.
Present automation strategy and progress to the executive team and board.
Team Building & Management
Build and scale several specialized automation teams within 12 months, starting immediately.
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