AI Engineer – CRM, CPQ & GTM

Company: Texora AI
Position: AI Engineer – CRM, CPQ & GTM
Location: Remote – GCC / MENA
Employment Type: Full-Time
Department: AI Engineering / Product Engineering
Experience: 2–6 years
Industry: AI / SaaS / CRM / CPQ / GTM / Enterprise Technology

About Texora AI

Texora AI is an AI-powered SaaS technology company building intelligent business applications across CRM, HRMS, CPQ, GTM, AI Agents, sales automation, and enterprise workflows.

We are looking for an AI Engineer – CRM, CPQ & GTM to build intelligent automation and AI-powered capabilities across Texora’s commercial technology platform.

Role Overview

The AI Engineer will work at the intersection of Artificial Intelligence, CRM, CPQ, Sales, Marketing, Revenue Operations and SaaS integrations.

You will design and develop AI-powered features such as:

• AI Sales Agents
• AI Lead Qualification
• AI Lead Scoring
• AI Opportunity Intelligence
• AI Customer/Account Research
• AI Sales Assistant
• AI Proposal & RFP Generation
• AI CPQ Assistant
• Intelligent Product Recommendations
• Pricing & Discount Intelligence
• Quote Validation
• Sales Forecasting
• GTM Automation
• CRM Data Enrichment
• AI-powered Follow-up & Engagement
• AI Chatbots and Conversational Agents

The role requires someone who can convert business requirements into scalable AI products and integrations.

Key Responsibilities

1. AI & LLM Engineering

• Develop production-ready AI/ML and Generative AI applications.
• Build LLM-powered features for CRM, CPQ and GTM workflows.
• Develop AI agents and agentic workflows.
• Implement prompt engineering and context engineering.
• Build RAG-based applications using enterprise data.
• Integrate LLM APIs such as OpenAI, Anthropic, Gemini or equivalent platforms.
• Implement structured outputs, function calling and tool-based AI workflows.
• Develop AI evaluation and monitoring processes.
• Improve AI response accuracy, reliability and latency.

2. CRM AI Automation

Build AI capabilities for:

• Lead scoring and qualification
• Lead enrichment
• Account intelligence
• Contact intelligence
• Opportunity scoring
• Sales recommendations
• Customer sentiment analysis
• Meeting/call summarization
• Automated CRM updates
• Next-best-action recommendations
• Follow-up email/message generation
• Sales activity recommendations
• Pipeline analysis
• Sales forecasting
• Customer churn/risk signals

3. CPQ & Pricing Intelligence

Work with the CPQ product team to develop:

• AI-powered product recommendations
• Product configuration assistance
• Pricing recommendations
• Discount recommendations
• Quote generation
• Quote validation
• Approval recommendations
• Pricing anomaly detection
• Cross-sell and upsell recommendations
• Guided selling
• Quote-to-order automation
• AI-assisted proposal generation

Modern CPQ engineering increasingly combines product configuration, pricing/discount rules, approvals, CRM integration and AI-assisted automation. (⁠Greenhouse Jobs)

4. GTM Engineering & Automation

Build AI-powered workflows across:

Marketing → Lead → Qualification → Sales → CPQ → Proposal → Contract → Customer Success

Responsibilities include:

• Automated prospect research
• ICP identification
• Lead enrichment
• Lead routing
• Sales sequence automation
• Account intelligence
• Sales-person productivity assistants
• Marketing personalization
• Proposal automation
• RFP response automation
• CRM workflow automation
• Customer lifecycle automation
• Revenue intelligence

5. API & System Integration

Develop integrations between:

• Texora CRM
• Texora CPQ
• Texora HRMS
• Marketing platforms
• ERP systems
• Payment systems
• Communication platforms
• Customer-support systems
• Data platforms
• Third-party AI providers

Hands-on experience with REST APIs, webhooks, OAuth, JSON, event-driven architecture and microservices is required.

6. AI Agents

Design and develop specialized AI agents such as:

Sales Agent

• Prospect research
• Lead qualification
• Follow-up
• Meeting preparation

CRM Agent

• Update CRM records
• Analyze pipeline
• Recommend next actions

CPQ Agent

• Configure products
• Recommend pricing
• Generate quotes
• Validate discounts

GTM Agent

• Research accounts
• Identify decision-makers
• Generate personalized outreach
• Monitor buying signals

Customer Success Agent

• Analyze customer activity
• Identify risks
• Recommend expansion opportunities

7. Data & Machine Learning

• Work with structured and unstructured enterprise data.
• Develop data pipelines for AI applications.
• Build embeddings and vector-search solutions.
• Implement semantic search.
• Develop recommendation and classification models.
• Perform data preprocessing and feature engineering.
• Monitor model performance and AI quality.

Technical Skills

Programming

Must Have:

• Python
• REST APIs
• SQL
• Git
• JSON
• API integration

Good to Have:

• Node.js
• TypeScript / JavaScript
• FastAPI
• Microservices

AI / GenAI

• LLMs
• Generative AI
• Prompt Engineering
• RAG
• Embeddings
• Vector Databases
• Function Calling
• AI Agents
• Agentic Workflows
• Model Evaluation
• AI Guardrails

Frameworks

Experience with one or more:

• LangChain
• LangGraph
• LlamaIndex
• CrewAI
• AutoGen
• Semantic Kernel

AI Platforms

Experience with:

• OpenAI API
• Anthropic
• Google Gemini
• AWS Bedrock
• Azure AI

Databases

• MongoDB
• PostgreSQL
• MySQL
• SQL Server
• Redis

Preferred:

• Pinecone
• Weaviate
• Qdrant
• Chroma
• Milvus

Cloud & DevOps

Preferred experience with:

• AWS / Azure / GCP
• Docker
• Kubernetes
• CI/CD
• GitHub Actions
• Terraform
• Monitoring and logging

CRM / CPQ / GTM Knowledge

The candidate should understand at least some of the following:

• CRM
• Lead Management
• Opportunity Management
• Sales Pipeline
• Account Management
• Contact Management
• Sales Automation
• Marketing Automation
• CPQ
• Product Catalog
• Product Configuration
• Pricing Rules
• Discount Rules
• Approval Workflows
• Quotation
• Proposal Management
• Contract Lifecycle
• GTM
• Revenue Operations

Experience with Salesforce, HubSpot, Microsoft Dynamics, Zoho, SAP, Oracle, Salesforce CPQ or similar platforms is an advantage.

GCC / MENA Market Exposure

Experience working with customers, products or technology teams in GCC/MENA markets is preferred.

Exposure to:

• UAE
• Saudi Arabia
• Qatar
• Bahrain
• Kuwait
• Oman

is an advantage.

Understanding of enterprise SaaS buying processes, regional business requirements and data/privacy considerations is preferred.

Qualifications

• Bachelor’s degree in Computer Science, AI, ML, Engineering or related field.
• 2–6 years of relevant software/AI engineering experience.
• Strong Python programming experience.
• Practical experience building AI/LLM applications.
• Experience integrating APIs and enterprise systems.
• Strong analytical and problem-solving skills.
• Ability to work independently in a remote environment.
• Strong communication and documentation skills.

Preferred Experience

Candidates with experience in any of these areas are highly preferred:

• AI SaaS
• CRM
• CPQ
• GTM Engineering
• Revenue Operations
• Sales Automation
• Marketing Automation
• AI Agents
• Enterprise AI
• B2B SaaS
• FinTech / HRTech / EdTech
• GCC/MENA enterprise software

Key Performance Indicators

• AI features delivered to production
• AI response accuracy
• AI automation adoption
• CRM automation coverage
• CPQ automation efficiency
• API/integration reliability
• Reduction in manual sales operations
• Lead qualification accuracy
• Quote-generation turnaround time
• AI agent task-completion rate
• System performance and reliability

Working Model

Remote – GCC / MENA

The candidate will collaborate remotely with Texora AI’s Product, Engineering, Sales, Presales, Marketing and Customer Success teams.

Flexible working hours with reasonable overlap with GCC/MENA business hours may be required.

Compensation

Salary: Competitive and based on experience
Benefits: Performance-based incentives / applicable remote benefits
Growth: Opportunity to work on AI, CRM, CPQ and GTM products for international markets.

Why Join Texora AI?

• Build real-world AI products used in enterprise business workflows.
• Work across AI + CRM + CPQ + GTM.
• Develop production AI agents and LLM applications.
• Work with international GCC/MENA customers.
• Exposure to enterprise SaaS architecture.
• Opportunity to work across Product, Engineering and GTM teams.
• High-growth AI/SaaS environment.

Application

Interested candidates should submit their CV with the subject:

“AI Engineer – CRM, CPQ & GTM – GCC”

Employment: Full-Time | Remote
Location: GCC / MENA