Cloud Computing, FinOps, DevOps, Software

AI Engineer - US

RemoteRemoteFull TimePosted 1 month ago

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Required skills

AI agents
automations
Claude
ChatGPT
APIs
integrations
CRM
sales tooling
Prompt Engineering
evals

Nice to have

Python
LLM-based applications
tool use
MCP
RAG
B2B SaaS

Role summary

This AI Engineer role focuses on embedding with the Go-To-Market (GTM) organization to identify time-consuming workflows and develop AI agents and automations that improve efficiency. The engineer will collaborate with Sales, Sales Engineers, Customer Success, and Marketing teams, acting as a liaison between GTM and the AI platform team. Responsibilities include mapping workflows, building and deploying AI solutions using internal platforms and connectors (e.g., Salesforce, Gong, Slack), managing prompts and evaluations for quality, and providing feedback to the platform team. The role requires 2+ years of software or AI engineering experience, deep familiarity with large language models like Claude and ChatGPT, and comfort with APIs and integrations. A product mindset and excellent communication skills are essential. Python experience and familiarity with B2B SaaS or infrastructure companies are preferred.

ScaleOps 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.

Ready to apply?

You'll be redirected to ScaleOps's application page.