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Data Architect
Accelerate your transition to an AI-driven enterprise with no-code design tools and plug-and-play connectors for seamless data integration and analytics.
Benefits:
Environment prioritizes learning, innovation, and growth
Work with cutting-edge technologies
Contribute to global business solutions
Fostering culture of responsible innovation
Experience Requirements:
6+ years experience in data engineering
Experience with large scale data migrations
Consulting / customer facing experience
Comfortable writing code in Python or Scala
Deep experience with distributed computing with Apache Spark
Other Requirements:
Working knowledge of Cloud ecosystems (AWS, Azure, GCP)
Familiarity with CI/CD
Working knowledge of MLOps
Must have Databricks Certifications
Ability to travel up to 30%
Responsibilities:
Handle impactful customer technical projects
Scope variety of professional services work
Guide strategic customers as they implement projects
Consult on architecture and design
Mentor and provide guidance to junior data engineers
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Pre Sales Solution Architect (Saudi Arabia Local))
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
5β6 years of experience in solution architecture, pre-sales, or similar client-facing role
Demonstrated experience with OEMs / System Integrators in IT, SaaS, or enterprise software
Other Requirements:
Excellent communication skills in Arabic (native or fluent) and English
Local presence in KSA (mandatory)
Experience with Contact Center and conversational AI (advantage)
Responsibilities:
Act as the local technical face of the product in Saudi Arabia
Deliver localized demos and proof-of-concepts (PoCβs) with a focus on Arabic
RFP/RFI/RFQ response creation
Conduct customer workshops and discovery sessions
Provide feedback to Sales, product and engineering teams on local requirements
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Senior Customer Success Manager-Enterprise Cluster
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
2-6 years of experience in Software/Technical Account Management or Customer Success
Experience in a SaaS environment
Experience in negotiating terms, pricing, and reviewing contracts
Other Requirements:
Strong technical knowledge, particularly in APIs and integrations
Proficiency in maintaining accurate and timely information within CRM databases
Excellent listening and sales skills
Responsibilities:
Possess a solid technical background with a focus on APIs and integrations
Strive to achieve or overachieve monthly and quarterly revenue targets
Collaborate with Sales teams on sales strategies, renewals, and upsell opportunities
Serve as the primary point of contact for clients and managing relationships
Conduct regular check-ins and facilitate Quarterly Business Review (QBR) meetings
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AI Support Engineer-3(Python Django Coding Knowledge)
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
5+ years of experience
5+ years in backend development support, production support, or DevOps/SRE roles
Other Requirements:
Expert in Python, Django, SQL, and Linux troubleshooting
Experience with cloud architecture (AWS), Docker, and Kubernetes
Strong scripting/automation mindset (Bash/Python)
Understanding of CI/CD, observability, and release workflows
Responsibilities:
Own the resolution of mission-critical production issues
Lead RCA reviews and drive systemic improvements in architecture and processes
Identify performance bottlenecks and propose architectural changes
Write clean and maintainable code primarily using Python and Django
Lead and mentor L1/L2 engineers on troubleshooting best practices
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Customer Success Manager
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
Previous Enterprise Sales/ Technical Account Management or Customer Success/ Consulting experience
Other Requirements:
Understanding and Implementation of API's is mandatory
Understanding of the cloud telephony or telco industry is preferable
Responsibilities:
Manage expectations and provide guidance using APIs and integration
See-through to the launch of new solutions/ projects
Conduct QBR meetings with clients
Strive to achieve/ over-achieve revenue targets through upselling and cross-sell
Negotiate terms, pricing, and review contracts
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Product Support Engineer
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Other Requirements:
Solid understanding of APIs, JSON, webhooks, and HTTP methods
Basic knowledge of networking concepts (DNS, latency, firewalls, ports)
Exposure to debugging tools like Postman, cURL, Kibana
Understanding of VSIP (Voice SIP) protocols and SIP call flows
Responsibilities:
Serve as the primary contact for Level 1 inquiries via email, phone, and tickets
Diagnose issues related to call flows, APIs, and dashboard functionalities
Perform preliminary investigations like log checks and configuration reviews
Analyse API requests/responses and webhook logs
Escalate complex problems to L2/L3 teams with complete technical context
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Technical Account Manager (TAM)
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
4β8 years in a CX, Solution Engineer, or Customer Success Engineer role
Hands-on experience with contact center platforms and voice/messaging solutions
Other Requirements:
Knowledge of chatbot/voicebot platforms and AI-driven CX tools
Strong understanding of network architecture and telecom concepts
Responsibilities:
Own the end-to-end technical relationship for assigned accounts
Drive solution adoption and ongoing customer success
Design end-to-end solutions and guide customers on architecture and integrations
Lead solution architecture and deployment for network and telephony setup
Identify opportunities for increased adoption, upsell, and cross-sell
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Gen AI Support Engineer - L2
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
4β7+ years of overall experience
3+ years in backend development support, production support, or DevOps/SRE roles
Other Requirements:
Expert in Python, Django, SQL, and Linux troubleshooting
Experience with cloud architecture (AWS), Docker, and Kubernetes
Strong scripting/automation mindset (Bash/Python)
Responsibilities:
Own the resolution of mission-critical production issues
Lead RCA reviews and drive systemic improvements
Write clean and maintainable code primarily using Python and Django
Review and validate patch fixes and support automation code
Establish and improve SLAs, dashboards, and alerting systems
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Implementation Engineer
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Education Requirements:
Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, or related
Other Requirements:
Familiarity with Linux and Windows operating systems
Basics of networking concepts (LAN, OSI, Topology, etc)
Basics of database concepts (MySQL, Postgres)
Basic knowledge of HTML and CSS
Responsibilities:
Assist in the installation and configuration of contact center software solutions
Troubleshoot software performance, reliability, and scalability issues
Assist in providing training to end-users
Develop and maintain software documentation
Identify opportunities for process improvement
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Implementation Engineer - 3
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Education Requirements:
B.Tech./ BSc or equivalent
Experience Requirements:
2-4 years of overall work experience in tech/product support
Other Requirements:
Good command of Linux CLI tools
Hands-on on database and SQL
Willingness to work in a 24x7 model
SIP/VOIP Understanding (Good-to-have)
Responsibilities:
Respond to customer inquiries and technical problems via call, ticket, and chat
Simulate Customer Issues to find solutions
Take ownership of customer issues through to resolution
Learn new product/feature releases and master them quickly
Identify repetitive tasks and improve support efficiency by automation
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Technical Solutions Consultant - (CCAAS Product)
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Education Requirements:
Bachelorβs degree in Engineering (CSE, ECE, IT)
MBA is a plus
Experience Requirements:
4-8 years of experience in Presales / Solution Consulting / Solution Engineering in SaaS, CPaaS, CCaaS
Other Requirements:
Proven ability to lead complex solution conversations
Knowledge of Contact centre, voice/messaging platforms, and AI-enabled CX tools
Knowledge of API integrations and cloud architecture (AWS/GCP/Azure)
Responsibilities:
Lead technical discovery sessions to identify customer goals and use cases
Own the solution architecture covering integrations, scalability, and compliance
Deliver tailored demos and proofs of concept
Create compelling proposals and SoWs for enterprise deals
Act as a bridge between Sales and internal teams
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Director of Customer Success
Optimize infrastructure management for cities and DOTs with AI-powered mapping, digital twins, and automated budgeting tools for road and sidewalk maintenance.
Benefits:
Comprehensive health, dental, and vision coverage
401(k) with immediate vesting
Generous PTO, paid parental leave, and flexible work options
Annual professional development stipend
Team events, referral bonuses, and a collaborative, growth-focused culture
Experience Requirements:
5+ years in Customer Success, Account Management, or Post-Sale Revenue leadership
Proven track record of driving NRR β₯ 110% in a B2B SaaS or GovTech environment
Experience building CS functions from scratch or re-architecting for scale
Other Requirements:
Experience managing government or public sector customers
Executive presence: comfortable engaging commissioners, DOT directors, and city managers
Strong data orientation with experience in health scoring, segmentation, and revenue forecasting
Responsibilities:
Retention & Revenue Growth: Drive Net Revenue Retention β₯ 120% and Gross Revenue Retention β₯ 95%
Scalable CS Operating Model: Deploy SMB vs. Enterprise segmentation with differentiated engagement motions
Enterprise Customer Success: Implement Executive Business Review framework with stakeholder mapping
Onboarding & Time to Value: Deliver time to first measurable value in under 60 days
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Chief of Staff
Optimize infrastructure management for cities and DOTs with AI-powered mapping, digital twins, and automated budgeting tools for road and sidewalk maintenance.
Benefits:
Equity: meaningful, early-stage equity (just raised Series A)
4 weeks PTO
Generous company holidays
Monthly location bonus if you live within 1 mile of the office
401(k) with company match
Experience Requirements:
Exceptionally organized with strong instincts for prioritization and timing
Strong writer and presenter; able to produce clean, persuasive decks and proposals
Comfortable operating in CRM and turning relationship data into action
Confident communicator with executives, customers, investors, and government officials
Proactive, high-energy, and motivated to grow into a long-term thought partner
Responsibilities:
Own scheduling and calendar strategy so the CEO can focus on the highest-impact work
Accelerate enterprise deals by pairing the CEOβs relationships with the right timing, narrative, and materials
Manage and draft executive-level communications so the CEO focuses only on high-leverage comms
Track strategic initiatives across the company and provide a real-time pulse on progress
Take ownership of the CEOβs to-do list, executing directly or drafting first passes for review
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People Operations Intern (HR + Office Support)
Optimize infrastructure management for cities and DOTs with AI-powered mapping, digital twins, and automated budgeting tools for road and sidewalk maintenance.
Benefits:
Hands-on experience in office management and workplace operations
Exposure to a fun, collaborative, and dynamic team environment
Opportunities to propose and implement your own ideas
A high level of ownership and responsibility in a startup setting
Real-world skills and meaningful experience to help launch your career in HR or business
Experience Requirements:
Strong organizational skills and attention to detail
Self-starter with initiative and follow-through
Thrive in a fast-paced environment
Positive, flexible, and willing to take on varied tasks
Comfortable with light physical work (supplies, tidying, etc.)
Other Requirements:
Interest and/or experience in operations, HR, or workplace culture (tech skills a plus)
Google Drive and Notion experience
Responsibilities:
Assist with company events, hiring processes, and workplace improvement ideas
Contributing to the companyβs internal website and digital documentation
Daily responsibilities of organizing spaces, maintaining office supplies and equipment, and owning general office upkeep
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Operations Engineering Intern
Optimize infrastructure management for cities and DOTs with AI-powered mapping, digital twins, and automated budgeting tools for road and sidewalk maintenance.
Education Requirements:
Currently pursuing or recently completed an undergraduate degree in Computer Science, Engineering, or a related technical field
Experience Requirements:
Familiarity with AI concepts or hands-on experience using AI tools, models, or data-driven systems
Strong troubleshooting and problem-solving skills
Other Requirements:
Exposure to GIS, geospatial data, mapping tools, or spatial analysis
Experience working with hardware systems, IoT devices, field operations, or operations-focused software tools
Responsibilities:
Partner cross-functionally with Hardware, Field Operations, Data Operations, and Software Engineering
Identify, design, and implement automation solutions that streamline internal workflows
Troubleshoot and resolve software-related issues impacting the sensor fleet and internal tooling
Build tools and workflows to automate customer service processes
Redesign and automate the multi-step, multi-person shipping process
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Node.js Developer
Turn content into tradable assets and maximize revenue for creators using a Large Pricing Model that dynamically recalibrates value based on real-time demand.
Other Requirements:
Visionaries and Builders
Hard Workers
Data-Driven Innovators
System-Level Thinkers
Relentless Problem Solvers
Responsibilities:
Solve complex problems at scale
Create infrastructure for an entirely new economy
Assign real-time value to information
Turn massive data sets into actionable insights
Reshape how the world works
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Sales Representative
Turn content into tradable assets and maximize revenue for creators using a Large Pricing Model that dynamically recalibrates value based on real-time demand.
Other Requirements:
Visionaries and Builders
Hard Workers
Data-Driven Innovators
System-Level Thinkers
Relentless Problem Solvers
Responsibilities:
Solve complex problems at scale
Create infrastructure for an entirely new economy
Assign real-time value to information
Turn massive data sets into actionable insights
Reshape how the world works
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Rust Developer
Turn content into tradable assets and maximize revenue for creators using a Large Pricing Model that dynamically recalibrates value based on real-time demand.
Other Requirements:
Visionaries and Builders
Hard Workers
Data-Driven Innovators
System-Level Thinkers
Relentless Problem Solvers
Responsibilities:
Solve complex problems at scale
Create infrastructure for an entirely new economy
Assign real-time value to information
Turn massive data sets into actionable insights
Reshape how the world works
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Product Manager
Turn content into tradable assets and maximize revenue for creators using a Large Pricing Model that dynamically recalibrates value based on real-time demand.
Other Requirements:
Visionaries and Builders
Hard Workers
Data-Driven Innovators
System-Level Thinkers
Relentless Problem Solvers
Responsibilities:
Solve complex problems at scale
Create infrastructure for an entirely new economy
Assign real-time value to information
Turn massive data sets into actionable insights
Reshape how the world works
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Senior MLOPS
Turn content into tradable assets and maximize revenue for creators using a Large Pricing Model that dynamically recalibrates value based on real-time demand.
Other Requirements:
Visionaries and Builders
Hard Workers
Data-Driven Innovators
System-Level Thinkers
Relentless Problem Solvers
Responsibilities:
Solve complex problems at scale
Create infrastructure for an entirely new economy
Assign real-time value to information
Turn massive data sets into actionable insights
Reshape how the world works
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