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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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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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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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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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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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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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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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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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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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Data Scientist
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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AI/Data Scientist Lead
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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QA Engineer
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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DevOps Engineer
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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Site Reliability Engineer (SRE)
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 Design Intern
Optimize manufacturing efficiency and reduce downtime with predictive insights, automated production scheduling, and real-time defect detection for factories.
Responsibilities:
Support design workflows
Assist in UI prototyping
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Senior GPU System Architect
Build, train, and deploy generative AI, digital twins, and autonomous systems at scale using high-performance GPUs and specialized software architectures.
Education Requirements:
BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent area
Experience Requirements:
8 years or more of relevant experience in system design or ASIC/SoC architecture
Other Requirements:
Deep understanding of communication interconnect protocols (NVLink, Ethernet, InfiniBand)
Experience with RDMA/RoCE or InfiniBand transport offload architectures
Background in system design for AI and HPC
Responsibilities:
Architect multi-GPU system topologies for scale-up and scale-out configurations
Define and evaluate future architectures for high-speed interconnects
Collaborate to architect RDMA-capable hardware and transport layer optimizations
Use and modify system models to guide design trade-offs
Work with ASIC and software teams to enable hardware-software co-design
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