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Product Implementation Specialist- US Shift
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Join a winning team
Autonomy and trust
Impact and growth
Education Requirements:
Bachelor's or Master’s degree in Engineering, Business, or a related field
Experience Requirements:
1–3 years of experience in SaaS onboarding, client success, or product implementation (startups preferred)
Other Requirements:
Strong communication skills
Proficient in Advanced Excel (Pivot tables, formulas, dashboards) and Excel Macros/VBA
Analytical, proactive, and solutions-oriented mindset
Comfortable with travel—willing to visit client sites and warehouses
Responsibilities:
Collaborate with ecommerce and logistics clients to understand their business needs
Own and manage your portfolio of clients from onboarding through implementation and go-live
Conduct regular client visits to map operational workflows
Deliver client training, live demos, and onboarding sessions
Work cross-functionally with Sales, Product, and Engineering teams
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Technical Support Specialist
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Competitive salary package with performance-based bonuses
Comprehensive health insurance coverage
Continuous learning and professional development opportunities
Employee assistance program for mental health
Supportive and inclusive work culture
Experience Requirements:
2+ years of experience in a customer support role, preferably in a B2B SaaS environment
Other Requirements:
Technical knowledge of APIs
Basic understanding of HTML and web technologies
Familiarity with JSON and XML formats
Experience using customer support platforms like Zendesk or Freshdesk
Strong problem-solving and communication skills
Responsibilities:
Manage customer inquiries through various support channels
Diagnose and troubleshoot customer issues related to the platform
Assist customers in integrating Clickpost’s platform into their existing systems
Document and log customer interactions and technical issues in the CRM
Identify and analyze recurring customer issues for product improvements
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Head of CSM
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Health insurance
Generous vacation policy
Learning and development budget
Team events and company offsites
Company laptop and devices
Experience Requirements:
8-12+ years in B2B SaaS
5+ years leading CS teams
Other Requirements:
Proven track record owning renewals + retention
Strong customer-facing leadership
Strong operational rigor
Experience working closely with Sales/RevOps/Product
Comfortable working with global customers/time zones
Responsibilities:
Own renewals and retention outcomes
Build a predictable expansion engine (upsell + cross-sell)
Improve customer experience and NPS
Build and scale the CS org
Operate with strong systems, process, and data
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Backend Developer
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Health insurance
Generous vacation policy
Learning and development budget
Team events and company offsites
Company laptop and devices
Experience Requirements:
2+ years of hands-on software engineering experience
Other Requirements:
Strong proficiency in Node.js and React.js
Experience with AWS, cloud infrastructure, and Postgres
Clear communication skills
Strong product mindset
Prior experience building Shopify apps (Nice-to-have)
Responsibilities:
Build, own, and enhance core product features
Develop scalable backend components using Node.js
Develop frontend components using React.js
Collaborate with product and growth teams
Work with AWS to deploy, monitor, and optimize production systems
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Data Acquisition Engineer – Prism
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Experience Requirements:
3+ years of experience building production-grade data acquisition or scraping systems using Python
Other Requirements:
Strong experience with browser automation tools
Experience with location-based or geospatial data extraction
Solid understanding of HTTP and networking fundamentals
Strong focus on data quality, validation, and reliability
Responsibilities:
Design, build, and maintain scalable data acquisition pipelines
Simulate location-based user journeys to capture geo-specific information
Handle dynamic, JavaScript-heavy environments
Build distributed crawling systems capable of ingesting millions of data points
Implement monitoring, alerting, and automated recovery mechanisms
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Frontend Engineer - Intern
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Benefits:
Paid Internship with potential for full-time employment
Flexible work hours
Mentorship from experienced engineers
Hands-on experience working on real business problems
Networking opportunities or team events
Experience Requirements:
0-6 months experience
Other Requirements:
Strong foundation in React.js, Next.js, HTML5, CSS3, and JavaScript
Hands-on experience with charting libraries (Highcharts, Recharts)
Basic understanding of testing frameworks like Jest or Cypress
Clear communication skills
Responsibilities:
Developing and maintaining user interfaces
Designing and implementing responsive, efficient web components
Understand frontend architecture, tools, and flows
Take ownership of core UI components
Improving scalability and maintainability of the frontend architecture
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Content Writer
Optimize e-commerce post-purchase journeys with AI-powered tracking pages, intelligent returns management, and personalized shipping updates to boost loyalty.
Experience Requirements:
1+ Years
Prior professional experience as a content writer
Other Requirements:
Strong writing skills
Basic understanding of SEO best practices
Passion for storytelling, writing, or technology
Creative mindset with strong attention to detail
Responsibilities:
Create high-quality long-form and short-form content
Edit, proofread, and optimize content
Collaborate with internal teams to develop compelling stories
Manage content independently while aligning with marketing goals
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Senior Technical Support Engineer I
Protect digital interactions and deliver seamless user experiences with a scalable identity platform featuring adaptive MFA, SSO, and no-code orchestration.
Benefits:
Generous PTO & Holiday Schedule
Parental Leave
Progressive Healthcare Options
Retirement Programs
Opportunity for Education Reimbursement
Education Requirements:
Bachelor’s degree or equivalent work experience
Experience Requirements:
Minimum of 5 years of related experience
Background of working on Linux, Unix & Windows Enterprise Server OS
Solid knowledge of protocols such as HTTP, SSL and IPv4/v6
Working knowledge of Java, web containers (Tomcat, JBoss) and web servers
Experience of virtualisation in an enterprise environment
Other Requirements:
Working on a shifted schedule that includes weekends
Experience with Cloud-based platform services (AWS, Azure, GCP)
Empathy for the customer's situation
Responsibilities:
Interacting with customers and resolving technical issues
Acting as Queue Manager (QM) during weekend shifts
Reproducing customer problems internally
Collaborating with Support, Engineering, SREs, and Product teams
Documenting bugs for product/service issues
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API Integration - Trainee
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
A culture comprised of diverse, global teams who have a passion for collaboration and client service
The ability to have an impact on a fast-growing startup and innovative and state-of-the-art AI products and solutions
A competitive salary and scope for further advancement
A great environment that promotes open feedback and a flat hierarch, working at Enterprise Bot is a refreshing mix of purpose, challenge, and fun
Education Requirements:
Bachelor's degree in computer science, information science, or similar.
Experience Requirements:
Basic knowledge of Node.js fundamentals.
Eagerness to learn lots of new technologies.
Other Requirements:
Excellent communication skills, both written and verbal.
Exceptional analytical and problem-solving aptitude.
Responsibilities:
Work with the integration teams at internal product & engineering teams.
Attend calls and translate conceptual system requirements into technical data and integration requirements.
Collaborate with team members to assist in the definition of project scope, deliverables, timelines, and develop standards and processes
Track and communicate the status of personal deliverables throughout the project lifecycle.
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Conversation Designer
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions
Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence
A competitive salary and scope for further advancement.
A great environment that promotes open feedback and a flat hierarchy
Experience Requirements:
2-3 years of experience in conversation design, UX writing, or related fields with hands-on experience in chatbot or conversational AI projects.
Experience with conversation design tools (e.g., Voiceflow, Botmock, Dialogflow, or similar platforms).
Other Requirements:
Experience with CSM responsibilities will be an added advantage
Strong writing and communication skills
Solid understanding of natural language processing (NLP) and conversational AI technologies.
Ability to collaborate effectively with technical and non-technical teams.
A user-first mindset with a focus on designing seamless and natural experiences.
Strong problem-solving skills with the ability to adapt to changing project requirements.
A passion for conversational AI and delivering exceptional user experiences.
Responsibilities:
Design Conversational Flows: Create intuitive, engaging, and user-friendly conversation scripts for chatbots, virtual assistants, and other AI-driven interfaces.
User-Centric Design: Focus on understanding user needs and behaviors to craft conversations that are natural, empathetic, and aligned with business goals.
Collaborate with Cross-Functional Teams: Work closely with developers, product managers, and data scientists to ensure the implementation of designs.
Prototype and Test: Build conversation prototypes, conduct usability testing, and iterate on designs based on user feedback and analytics.
Maintain Consistency: Ensure consistency in tone, language, and brand voice across different channels and touchpoints.
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Data Scientist
Deliver human-like AI conversations and automated resolutions for contact centers to lower costs and improve customer satisfaction across voice, email, and chat.
Benefits:
Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions
Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.
A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence
A competitive salary and scope for further advancement.
A great environment that promotes open feedback and a flat hierarchy
Education Requirements:
Strong understanding of fundamentals of Computer Science.
Experience Requirements:
Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science.
Hands-on experience in developing & running machine learning applications in production.
Other Requirements:
Strong skills in Python.
Familiarity with training and serving large language models in production.
Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining.
Responsibilities:
Responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.
Focus on not just on designing the algorithm but also on delivering it at scale.
Build and deploy deep learning techniques in production.
Design and develop software modules that perform data ingest, data transform, and analytics tasks.
Deliver customized solutions in a timely manner.
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React / React Native Developer (3–6 Years Experience)
Enhance the automotive buying journey with immersive 3D configurators, AR, and AI-driven dealership agents that boost customer engagement and sales conversions.
Benefits:
Work on cutting-edge technologies at scale
Relocation support
Health benefits
Performance bonuses
Experience Requirements:
3–6 years of hands-on experience with React Native and React
Other Requirements:
Strong command over JavaScript and TypeScript
Proficient in iOS development and deployment
Solid experience with Next.js and SSR
Experience with Stripe SDK and RevenueCat integration
Knowledge of modern state management (Redux, Zustand)
Responsibilities:
Build and maintain mobile applications using React Native
Develop responsive web applications using React and Next.js
Integrate third-party SDKs and APIs
Collaborate with designers and product managers
Optimize applications for speed, scalability, and responsiveness
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L1 Technical Support Engineer
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Education Requirements:
Bachelor’s degree in Engineering, Computer Science, or any technical field
Experience Requirements:
2 to 4 years of experience in technical support / QA automation/software support
Other Requirements:
Basic understanding of test automation concepts
Ability to read simple logs
Comfort with Linux/Windows command line
Strong communication and problem-solving skills
Ability to work in shifts if required
Responsibilities:
Act as the first point of contact via email, chat, and ticketing tools
Provide step-by-step assistance on basic product features and configuration
Troubleshoot fundamental issues related to test execution and connectivity
Log every issue with complete details in ticketing tools
Maintain SLA compliance for First Response Time and Initial Triage
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Backend Engineer GoLang/Python
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Benefits:
Collaborative and growth-oriented work environment
Competitive compensation and benefits
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Experience Requirements:
8–10 years of backend development experience in SaaS or large-scale applications
Other Requirements:
Proficiency in GoLang/Python
Strong expertise in MongoDB and Redis
Experience deploying workloads on Azure
Familiarity with CI/CD, Docker, and Kubernetes
Responsibilities:
Develop microservices and user-deployable logic in GoLang/Python
Implement robust API security with OAuth2 and JWT
Design efficient schemas, indexes, and queries in MongoDB
Deploy and manage services on Azure App Services and AKS
Design and implement event-driven and microservices architectures
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Senior Consultant - Avo Assure
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Benefits:
Hybrid work model (3 days office / 2 days home)
Company-provided cab and bus services
Competitive compensation
Collaborative, inclusive, and ownership-driven culture
Experience Requirements:
5-7 years of experience in QA, test automation, or enterprise application testing
Other Requirements:
Hands-on experience with low-code / no-code automation platforms
Prior involvement in ERP automation projects (SAP, Oracle, or Dynamics)
Strong understanding of automation scoping and estimation
Responsibilities:
Own and drive automation implementation engagements from discovery to delivery
Design scalable low-code / no-code automation frameworks
Assess customer application ecosystems and testing pain points
Act as a trusted technical advisor during customer workshops
Mentor junior consultants and lead internal technical walkthroughs
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Architect
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Education Requirements:
Solid computer science foundations (data structures, algorithms)
Experience Requirements:
12+ years of hands-on experience with Node, Python, or Go
5–6 years of architectural experience with deep expertise in Azure and/or AWS
Other Requirements:
Experience with microservices architecture
Proficiency in relational and NoSQL databases
Working knowledge of Docker and Kubernetes
Responsibilities:
Architect and evolve large-scale, distributed systems for low latency
Establish platform-wide standards for scalability and resiliency
Lead by example through active coding and prototyping
Mentor and coach engineering teams
Partner with product and data science teams to align technical decisions
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Backend Engineer
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Benefits:
Collaborative and growth-oriented work environment
Competitive compensation and benefits
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Experience Requirements:
8–10 years of backend development experience in SaaS
Other Requirements:
Proficiency in Node.js (REST & GraphQL)
Strong working knowledge of Python
Strong expertise in MongoDB and Redis
Responsibilities:
Build scalable APIs using Node.js
Develop microservices in Python including AI/ML integrations
Design efficient schemas and queries in MongoDB
Deploy services on Azure App Services and AKS
Design event-driven and microservices architectures
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Full Stack Engineer
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Education Requirements:
Bachelor’s in Computer Science, Engineering, or equivalent experience
Experience Requirements:
8–10 years of full-stack development experience
Other Requirements:
Strong skills in React/Vue and Node.js
Hands-on with Azure cloud deployments
Experience building multi-tenant SaaS platforms
Responsibilities:
Build responsive and modular UIs using React and/or Vue
Develop APIs with Node.js and Python-based microservices
Design MongoDB schemas and aggregation pipelines
Deploy on Azure App Services and AKS
Implement monitoring and observability with Azure Monitor
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Engineering Manager / Director
Streamline enterprise QA with no-code, AI-powered test automation that covers 200+ technologies from web to mainframe for faster, high-quality software releases.
Education Requirements:
Bachelor’s/Master’s degree in Computer Science or related field
Experience Requirements:
10–15+ years in software engineering
5+ years in leadership roles
Other Requirements:
Track record in SaaS, cloud-native, and AI/ML products
Strong knowledge of CI/CD and MLOps
Responsibilities:
Drive cloud-native SaaS architecture and distributed systems design
Champion CI/CD pipelines for safe and rapid delivery
Coach engineers to own delivery and experiment
Align engineering throughput with product roadmaps
Ensure release reliability through monitoring and observability
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Senior Data Scientist
Accelerate vehicle and property damage assessments with AI-powered computer vision that streamlines claims, repairs, and fleet management for industry leaders.
Experience Requirements:
5+ years building ML systems, especially in computer vision
Applied AI Expertise
Production Experience deploying ML models
Other Requirements:
Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)
Knowledge of cloud platforms (ideally AWS) and scalable data pipelines
Ability to work across teams and communicate complex ideas clearly
Analytical thinking and a focus on continuous improvement
Responsibilities:
Design and optimise scalable ML systems, focusing on computer vision
Develop and productionise deep learning models using Python
Align research, engineering, and product goals through hands-on leadership
Support junior team members and promote best practices
Collaborate directly with enterprise clients for solution integration
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