AI Engineer - US

Gomyneed Private Limited; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

ScaleOps in the United States is seeking an AI Engineer to join remotely. You will work with GTM teams (Sales, SEs, Customer Success, Marketing) to map workflows, identify automation opportunities, and ship AI agents on our platform.

You will build integrations with Salesforce, Gong, Slack, and Google Workspace, tailor prompts and evals, and help GTM users adopt AI-assisted processes. Strong communication and a product mindset are essential; Hebrew is a plus.

Qualifications

• 2+ years as software or AI engineer
• Hands-on with Claude and ChatGPT for real results
• Experience with APIs and CRM integrations
• Strong written and verbal communication
• Product-minded and adoption-focused
• Hebrew language proficiency

Responsibilities

• Embed with GTM teams to map workflows and build AI agents
• Ship automations that are actually used
• Collaborate with platform team on integrations
• Document prompts, skills, evals, and patterns
• Train GTM users to maximize AI tool adoption

Skills

2+ years exp

Claude/ChatGPT

APIs & Integrations

CRM tooling

Communication

Product mindset

Hebrew

Tools

Salesforce

Gong

Slack

Google Workspace

Job description

# AI Engineer - USScaleOps United States - Remote Full-timeFull-timeRemoteAI & Machine Learning---## About this role**Experience level:** Experienced | **Work mode:** Remote | **Location:** United States - RemoteScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%.As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments.Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.### **What You'll Be Doing**This is an AI engineer role *inside* the company. Your “customer” is the GTM organization (Sales, SEs, Customer Success, Marketing), and your job is to embed with them, find the workflows that eat their time, and ship AI agents and automations that actually get used. You’ll work US hours alongside the field team and be the bridge between GTM and the AI platform team.* Sit with SEs, TAMs, AMs and AEs to map their real workflows: account research, call prep, deal reviews, renewals, follow-ups, reporting.* Build and ship agents and automations on top of our internal platform and connectors (Salesforce, Gong, Slack, Google Workspace and more).* Turn rough requests into scoped solutions, iterate with users weekly and measure adoption and time saved.* Write and maintain skills, prompts and evals so quality stays high as models and data change.* Feed what you learn back to the platform team: missing integrations, reusable components, common failure modes.* Train GTM users to get more out of AI tools and spread working patterns across the team.### **What You'll Bring*** 2+ years as a software or AI engineer, ideally with customer-facing, solutions or FDE experience.* Deep hands-on experience with Claude and ChatGPT: you know how to get real results out of them and how to turn that into process automation.* Comfortable with APIs and integrations; experience with CRM and sales tooling.* Excellent communication: you can sit with a sales rep, understand the pain and explain trade-offs clearly.* Product mindset: you care whether something gets adopted, not only whether it runs.* Native Hebrew speaker.**Nice to have*** Python hands-on experience building LLM-based applications and agents (tool use, MCP, RAG, evals).* Experience at a B2B SaaS or infrastructure/DevOps company.###Company: ScaleOpsLocation: United States - RemoteJob Type: Full-timeCategory: AI & Machine LearningWork Mode: RemoteApply Company Site You'll be redirected to the company's site to complete your application.