GTM Operations

Runlayer • New York, NY

1d • Onsite

About The Position

AI is transforming how every company operates, but most enterprises are stuck. They want to move fast with AI agents, tools, and workflows, but they can't do it safely. We're fixing that.
Our team built AI Actions for OpenAI, shipped Zapier Agents to millions of users, and launched the first remote MCP server with Anthropic. The co-creator of MCP is on our cap table. We helped establish the protocol, and now we're building the platform enterprises need to actually use it.
Runlayer is one platform for MCPs, Skills, and Agents. Purpose-built security, fine-grained governance, and complete observability so organizations can push AI forward across the entire company without the risk. We raised $11M from Khosla Ventures and Felicis, and customers include Gusto, Instacart, and Opendoor.
We're a team of 25, mostly engineers, shipping fast. If you want to work at the center of how AI gets things done, this is the moment.
Why You'll Thrive Here
Impact. You'll be the connective tissue between GTM strategy and what actually gets executed in market. The systems you build will directly shape how fast we scale.
Excellence. You'll work directly with Jeff Settle (VP GTM, ex-Databricks) and our founding team to build a modern sales org from scratch. No inherited tech debt, no legacy process — just the right thing, built the right way.
Ownership. This is not a support function. You'll own revenue operations end-to-end — from CRM architecture and pipeline forecasting to outreach automation and account intelligence — with full latitude to build what the business actually needs.

Requirements

• 3–6 years of experience in sales operations, revenue operations, or GTM operations at a high-growth SaaS or infrastructure company.
• Technical enough to build, not just manage. A coding background is strongly preferred. You should be able to automate a workflow, pull and manipulate data, or wire together an API without needing engineering resources.
• Highly organized and operationally rigorous. You bring structure to fast-moving environments without slowing them down. Nothing falls through the cracks.
• Experience with the modern GTM stack — HubSpot, Clay, Gong, or comparable tools. Familiarity with AI-native outreach and automation tooling is a plus.
• NYC-based and in-office.
• Active AI user. You incorporate AI tools into your daily workflow for research, analysis, writing, and automation — not as a novelty, but as a standard part of how you operate.

Nice To Haves

• Management consulting background (MBB or similar) before transitioning into GTM or revenue operations.
• Experience building a GTM tech stack from scratch at an early-stage company.
• Familiarity with enterprise sales cycles and multi-stakeholder deals.
• Organized, structured, and methodical.

Responsibilities

• Partner with the VP of Sales & GTM to build a next generation operating model for an AI native GTM organization.
• Own the revenue operations stack. HubSpot is our CRM of record. You'll be responsible for pipeline hygiene, forecast accuracy, deal stage discipline, and the dashboards leadership relies on to make decisions.
• Build the outbound infrastructure. We use Clay, AI-native tooling, and signal-based account scoring to drive outreach. You'll maintain and improve the models that help our SDR and AE teams work the right accounts at the right time.
• Design GTM systems from the ground up. Territory structure, account segmentation, comp plan mechanics, onboarding playbooks — you'll build these as we scale the GTM org from 7 to 35+.
• Eliminate manual work through automation. Call summaries to CRM, follow-up triggers, meeting intelligence, inbound routing — you'll identify where the team is burning time and fix it with tooling and agents.
• Support the broader GTM org. AEs, SDRs, FDEs, and SEs all move faster when the systems underneath them are solid. You're responsible for that foundation.

Benefits

• Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities.
• Paid time off — 4 weeks paid vacation, paid sick leave, and paid parental leave.
• Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
• Top-tier equipment — your choice of laptop and accessories to create your ideal work environment.
• Health benefits — comprehensive health, dental, and vision coverage.
• Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed