AI Ops Engineer - GTM

Tapcart Inc.•Santa Monica, CA

1d•$90,000 - $140,000•Remote

About The Position

Tapcart is seeking an AI Ops Engineer to partner with the Founder/CEO and VP Operations to build out the skills, workflows, and automations for the company's fleet of AI agents. This role is focused on the go-to-market side, involving OpenClaw agents and agentic workflows that integrate directly into Sales, Marketing, Account Management, and Partnerships teams. The position is a hands-on builder role responsible for writing agent skills, setting up integrations, and bridging the gap between GTM team needs and agent capabilities. The engineer will be central to operationalizing AI agents within the company.

Requirements

0-2 years of experience; new grads and early-career builders are welcome
Hands-on OpenClaw or agentic experience (e.g., Hermes Agent, LangChain, AutoGPT, and custom LLM/API projects) is mandatory
Demonstrated experience building agent skills/workflows and understanding framework behavior beyond theory
A proactive and driven attitude; ability to identify problems, propose solutions, and implement them independently
Ability to quickly learn and adapt to new tools; adaptability is valued over specific technologies listed on a resume
Clear communication skills to interact with executives and GTM teams, translating their needs into working automation
A GitHub profile with a history of contributions ('more green than black')

Nice To Haves

Experience with AI asset generation, security, and compliance
A portfolio of side projects, hackathon participation, or personal creations
Experience with automation platforms like Zapier or n8n
Familiarity with modern cloud/data stacks (GCP, MongoDB, ClickHouse)

Responsibilities

Build and maintain OpenClaw (& other agentic) skills and workflows across the GTM org
Partner with Sales, Marketing, CS/AM, and Partnerships to identify high-leverage tasks for automation and implement them
Integrate agents into existing GTM tools by connecting APIs, data sources, and third-party services
Prototype solutions rapidly, deploy them to real users, and iterate based on feedback
Ensure reliability by diagnosing and fixing broken agent workflows