AI Ops Engineer – Mid Level

Orbital

. Work with Sales, Marketing, Customer Success, Product and Finance to understand existing processes and identify AI opportunities .

Posted 11/6/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $150,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and shipping AI agents, workflows, and integrations that enhance go-to-market processes, with a strong focus on measurable results and system integration. Proficient in collaborating with cross-functional teams to leverage AI effectively while adhering to security standards.

Highest-signal resume keywords

Building And Shipping SoftwareHands-On Experience With LLMsFluency In Python Or TypeScriptExperience Integrating CRM And Finance ToolsCommercial Understanding Of Pipeline Creation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Building And Shipping SoftwareHands-On Experience With LLMsFluency In PythonFluency In TypeScriptSQLThird-Party APIsExperience Integrating Systems Of RecordAI-Powered WorkflowsData HandlingExpected-Return Analysis

Soft Skills

ProactiveCuriousSound JudgementCollaboration With Non-Technical ColleaguesIndependent Idea Development

Tools & Technologies

HubSpotSalesforceEnrichment ToolsGTM Data

Certifications & Qualifications

ISO 27001 Awareness Training

Industry Keywords

B2B SaaSGo-To-Market ProcessesPipeline CreationRevenue PrioritiesSecurity Policies

Tech Stack

Tools & technologies

PythonSQLTypeScript

About the role

Key responsibilities & impact

Work with Sales, Marketing, Customer Success, Product and Finance to understand existing processes and identify AI opportunities
Design and build AI agents, workflows and integrations that transform go-to-market processes
Connect CRM, marketing, customer success, product and finance systems into one trusted customer view
Propose ideas, test them quickly with users and retain what works
Ship in short cycles and measure pipeline creation, conversion lift and time saved
Build documented, maintainable systems adaptable to changing models and tools
Share learnings and help colleagues use AI more effectively
Shape technical foundations for an AI-forward go-to-market organization
Decide whether to build, buy or leave opportunities as-is, supported by expected-return analysis
Establish standards for reliability, documentation, data handling and AI-output evaluation
Report to the VP of RevOps

Requirements

What you’ll need

Track record of building and shipping software, automations or integrations that people used, with measurable results
Strong hands-on experience with LLMs, including agents, retrieval, evals or AI-powered workflows in production
Fluency in at least one programming language, such as Python or TypeScript
SQL and third-party APIs
Experience integrating systems of record such as CRM, data warehouse or finance tools
Commercial understanding of pipeline creation and revenue priorities
Proactive, curious and able to develop independent ideas
Evidence of independently built side projects, tools or experiments
Experience working closely with non-technical colleagues to build adopted tools
Ownership and sound judgement without a large engineering team
Nice to have: HubSpot or Salesforce, enrichment tools or GTM data experience
Nice to have: Experience at a fast-growing B2B SaaS company
Follow security policies, complete regular awareness training and handle sensitive data in line with ISO 27001 standards
Background screening required before starting

Benefits

Comp & perks

Equity
Benefits
Hybrid work with office attendance at least once a week
Background screening before starting
Security awareness training
Diverse and inclusive workplace
Opportunity to make a real impact from day one