Associate, GTM Ops

Reposted 3 Days Ago
New York City, NY, USA
In-Office
130K-150K Annually
Mid level
Information Technology
The Role
The role involves driving growth across marketing, sales, and customer success through analytics, automation, and operational improvements in a fast-paced environment.
Summary Generated by Built In

Help us build a faster, smarter company. You'll work directly with our VP of Operations, founders, and leaders across the business to solve problems, build systems, and use data to improve how Shelf operates.

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

Let's cut to the chase. This is a hard job.

You'll report directly to our VP of Operations and work closely with our founders on some of the company's highest-priority initiatives. One week you might be building a dashboard to understand why pipeline conversion dropped. The next you could be redesigning a sales process, evaluating a new AI workflow, or helping automate an internal process.

This isn't a role where you'll inherit a checklist. Your job is to identify problems, build solutions, execute them, measure the results, and repeat.

You'll work across Sales, Marketing, Customer Success, People, Finance, and Operations to make Shelf run better every month than it did the month before.

If you enjoy figuring things out, building from scratch, and seeing your work have an immediate impact on the business, you'll probably love this role.

What You'll Do
  • Solve Problems: Work directly with the VP of Operations and founders on the company's highest-priority initiatives, taking projects from idea through execution.
  • Find Insights: Build dashboards, analyze data, and identify opportunities to improve growth, efficiency, and decision-making across the business.
  • Build Systems: Improve Salesforce, HubSpot, Attio, Clay, and other business systems while helping evaluate and implement new tools as the company scales.
  • Automate Work: Use AI, Claude Code, n8n, and modern automation tools to eliminate manual work and create leverage across every department.
  • Partner Across the Business: Work closely with Sales, Marketing, Customer Success, People Operations, Finance, and Engineering on projects that improve how Shelf operates.
  • Own Outcomes: Measure the impact of what you build, learn from the results, and continuously improve our systems, reporting, and processes.
What We're Looking For
  • Experience: 3–5 years of experience in Data Analytics, Data Science, Consulting, Strategy, Revenue Operations, Growth Operations, Venture Capital, or high-growth startup environments.
  • Analytics: Strong experience turning data into actionable insights using SQL, Sigma, Hex, Tableau, Power BI, Python, or similar analytics tools.
  • Systems: Experience working with modern business systems such as Salesforce, HubSpot, Attio, Clay, Snowflake, Fivetran, or similar platforms.
  • AI & Automation: Comfortable using AI and automation tools such as Claude, Claude Code, ChatGPT, n8n, Zapier, or similar technologies to improve how work gets done.
  • Builder Mindset: You enjoy solving ambiguous problems, taking ownership, and building systems that scale rather than maintaining existing processes.
  • Execution: Highly organized, naturally curious, resourceful, and comfortable managing multiple projects across different teams in a fast-moving environment.
Why Join Shelf
  • Build the future of enterprise AI: Shelf is creating the core infrastructure that enables enterprises to deploy agentic AI securely, reliably, and at scale.
  • Join a proven team: Our leadership combines deep AI expertise with experience building and scaling category-leading enterprise software companies.
  • Work with customers who love the product: Leading enterprises trust Shelf for its innovation, reliability, and measurable business impact.
  • Backed by world-class investors: We've raised more than $60 million from investors including Insight Partners, Tiger Global, Base10 Partners, and others.
  • Make an outsized impact: Join during a high-growth stage with meaningful ownership, direct access to leadership, and the opportunity to help shape the future of Shelf.
Compensation & Benefits
  • Competitive base salary
  • Performance-based bonus opportunities
  • Meaningful equity ownership through stock options
  • Flexible paid time off
  • Comprehensive medical, dental, and vision coverage

Skills Required

  • 4-6 years of experience in Growth Operations, Revenue Operations, Marketing Operations, Data Analytics, Management Consulting, or related fields
  • Experience working in high-growth SaaS, AI, or technology companies
  • Proven track record of using data to drive business outcomes
  • Experience supporting revenue-generating teams
  • Startup experience
Am I A Good Fit?
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The Company
HQ: Stamford, CT
125 Employees

What We Do

GenAI has the potential to transform the contact center, but without up-to-date and trusted knowledge, it provides inaccurate answers, creates hallucinations, and exposes companies to new compliance risks. Shelf offers organizations a secure way to incorporate LLMs to scale their knowledge, boost agent performance, and improve customer satisfaction. Our MerlinAI technology assesses, identifies issues, prioritizes improvements, and monitors content on a continuous basis in order to turn your organization’s knowledge into an infrastructure for success

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