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Junior Back End Engineer
Analyze mobile app performance and digital ad trends with data-driven insights to help marketers and developers optimize their global growth strategies.
Benefits:
Mentorship from senior engineers
Real ownership of features
Exposure to large-scale production systems
Collaborative culture
Opportunities to grow and learn new things
Education Requirements:
Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design
Experience Requirements:
Early-career engineer
Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem
Alternative: Proficiency in Python or similar with willingness to cross-train
Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq
Other Requirements:
A portfolio of meaningful Github contributions or personal projects
Proactive approach to digging into sources
Interest in backend systems and working with data
Strong communication and collaboration skills
Responsibilities:
Contribute to features across the full development lifecycle
Help build APIs and backend services
Learn how to work with large datasets and high-performance databases
Improve code quality through testing, refactoring, and reviews
Pair-program and collaborate with teammates
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Junior Back End Engineer
Analyze mobile app performance and digital ad trends with data-driven insights to help marketers and developers optimize their global growth strategies.
Benefits:
Mentorship from senior engineers
Real ownership of features
Exposure to large-scale production systems
Collaborative culture
Opportunities to grow and learn new things
Education Requirements:
Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design
Experience Requirements:
Early-career engineer
Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem
Alternative: Proficiency in Python or similar with willingness to cross-train
Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq
Other Requirements:
A portfolio of meaningful Github contributions or personal projects
Proactive approach to digging into sources
Interest in backend systems and working with data
Strong communication and collaboration skills
Responsibilities:
Contribute to features across the full development lifecycle
Help build APIs and backend services
Learn how to work with large datasets and high-performance databases
Improve code quality through testing, refactoring, and reviews
Pair-program and collaborate with teammates
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Junior Back End Engineer
Analyze mobile app performance and digital ad trends with data-driven insights to help marketers and developers optimize their global growth strategies.
Benefits:
Mentorship from senior engineers
Real ownership of features
Exposure to large-scale production systems
Collaborative culture
Opportunities to grow and learn new things
Education Requirements:
Technical Foundation: A strong grasp of algorithms, RESTful systems, and API design
Experience Requirements:
Early-career engineer
Preferred: Knowledge of Ruby on Rails and the broader Ruby ecosystem
Alternative: Proficiency in Python or similar with willingness to cross-train
Nice-to-have: Experience with Clickhouse, MongoDB, or Sidekiq
Other Requirements:
A portfolio of meaningful Github contributions or personal projects
Proactive approach to digging into sources
Interest in backend systems and working with data
Strong communication and collaboration skills
Responsibilities:
Contribute to features across the full development lifecycle
Help build APIs and backend services
Learn how to work with large datasets and high-performance databases
Improve code quality through testing, refactoring, and reviews
Pair-program and collaborate with teammates
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Mid / Senior Frontend Engineer
Analyze mobile app performance and digital ad trends with data-driven insights to help marketers and developers optimize their global growth strategies.
Experience Requirements:
Strong software engineering experience with deep specialization in JavaScript, TypeScript, and React
Proven ability to architect complex state management (TanStack Query, Zustand)
Experience in data visualization and analytics (handling large datasets)
Familiarity with Ruby on Rails and NoSQL/Columnar databases (MongoDB, Clickhouse)
Other Requirements:
Fluency in Russian is required
Strong professional proficiency in English is required
Product Owner mindset
Competence in unit and integration tests (Jest, Cypress, or Playwright)
Responsibilities:
Deliver complex, scalable frontend systems
Partner with Product Managers to co-author requirements
Lead technical decision-making for medium-to-large scoped features
Proactively identify bottlenecks and technical debt
Advocate for best practices in React and TypeScript
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Chief Technology Officer
Provide oncology teams with actionable insights from routine imaging using AI biomarkers that quantify tumor biology for precise treatment and trial selection.
Education Requirements:
Advanced degree (PhD preferred) in Computer Science, Biomedical Engineering, Medical Physics, or related field
Experience Requirements:
15+ years of software engineering and technology leadership experience
Deep AI/ML expertise with hands-on experience in medical imaging and computer vision
Healthcare technology experience with knowledge of DICOM and regulatory frameworks
Oncology domain knowledge with understanding of cancer biology and imaging biomarkers
MLOps and platform experience with tools like ClearML
Other Requirements:
Regulatory experience with FDA submissions, clinical trial support, and medical device development
Team leadership experience managing both engineering and research teams
Strong communication skills and ability to work with clinical and business stakeholders
Responsibilities:
Drive technical strategy across both engineering and AI research teams
Maintain hands-on involvement in AI/ML pipeline development and medical imaging analysis
Establish and evolve MLOps practices using ClearML and similar platforms
Lead technical due diligence and planning for Series A funding round
Ensure all technology development meets FDA and other regulatory standards
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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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Senior Java Spring Boot Developer
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
Personal and professional growth culture
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field
Experience Requirements:
6+ years of experience in Java development
4+ years experience with Spring Boot & microservices
Experience with cloud platforms (AWS, Azure, or GCP)
Experience with message brokers like Kafka or RabbitMQ
Experience with containerization like Docker and Kubernetes
Other Requirements:
Proficiency in RESTful API design
Understanding of design patterns and OOP
Knowledge of NoSQL databases (Nice to Have)
Experience with CI/CD pipelines (Nice to Have)
Responsibilities:
Design, develop, and implement Java-based applications
Collaborate with cross-functional teams
Write clean, efficient, and well-documented code
Develop and maintain RESTful APIs
Build and deploy microservices on cloud platforms
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Machine Learning Engineer
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
Culture values curiosity and continuous learning
Education Requirements:
Graduate degree in a quantitative discipline or equivalent experience
Experience Requirements:
3-5 years of hands-on industry data science experience
Experience building production-grade ML deployments
Experience with NLP, vector databases, and LLM deployment
2+ years customer-facing experience (preferred)
Experience communicating technical concepts
Other Requirements:
Experience with TensorFlow/PyTorch
Experience with Apache Spark (preferred)
Experience with Databricks platform (preferred)
Passion for life-long learning
Meet expectations for technical training within 3 months
Responsibilities:
Build and productionize customer data science workloads
Develop LLM solutions (RAG architectures)
Advise data teams on architecture and best practices
Provide technical mentorship to the SME community
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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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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:
5–6 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 (PoC’s) 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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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 Solutions Consultant - (CCAAS Product)
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Education Requirements:
Bachelor’s 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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Technical Account Manager (TAM)
Deliver personalized customer experiences at scale using AI-powered voicebots, sentiment analysis, and unified omnichannel communication for enterprises.
Experience Requirements:
4–8 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:
4–7+ 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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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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Account Executive
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:
1 to 3 years of full-cycle B2B sales experience (SaaS or technology preferred)
Track record of meeting or exceeding quotas with average deal sizes of 30K to 150K
Comfortable self-sourcing pipeline and closing your own deals
Exceptional organizational skills and attention to detail
Strong verbal and written communication skills across technical and executive audiences
Other Requirements:
Experience selling into government or civil engineering customers
Familiarity with public sector procurement cycles
Prior experience in early-stage, high-growth tech environments
Responsibilities:
Source and close mid-market deals with local governments and engineering firms
Prospect relentlessly through calls, emails, and LinkedIn to build a qualified pipeline
Run tight, detail-oriented sales cycles from first meeting through negotiation and close
Maintain accurate CRM data, forecasts, and next-step documentation
Deliver compelling demos and ROI-focused proposals
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