
Key Responsibilities:
Sales and Business Development:
- Lead the branch team to achieve sales targets for Loan Against Property (LAP) products, ensuring overall growth in the branch's portfolio.
- Develop and implement strategies to acquire new clients, cross-sell products, and maintain long-term relationships with customers.
- Monitor market trends and competitor activities to identify opportunities and stay ahead of market demands.
- Promote the LAP product offerings through various channels, including partnerships, referral networks, and local events.
Team Leadership and Management:
- Manage, mentor, and guide the sales and operational teams to achieve individual and branch-wide sales goals.
- Conduct regular performance reviews and provide coaching and training to enhance the sales team’s skills.
- Ensure adherence to organizational standards and processes in customer acquisition and relationship management.
Customer Relationship Management:
- Establish and maintain strong relationships with key clients, stakeholders, and other business partners.
- Provide high-level support for the LAP product offering, including assisting clients with queries and guiding them through the loan process.
- Resolve customer issues or concerns related to LAP applications and ensure timely and efficient processing.
Operational Management:
- Oversee the day-to-day operations of the branch, including loan origination, documentation, disbursement, collections, and compliance.
- Ensure the branch maintains a smooth, efficient, and compliant operation in line with internal policies and external regulations.
- Monitor and maintain branch financials, including revenue, expenses, and profitability.
Reporting and Compliance:
- Provide regular reports to senior management on branch performance, including sales achievements, operational issues, and market trends.
- Ensure all processes comply with regulatory guidelines, including KYC (Know Your Customer) and AML (Anti-Money Laundering) policies.

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About MyOperator
MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement
Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
- Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
We are seeking an experienced and creative Learning & Development (L&D) Specialist – Instructional Designer to design, develop, and implement engaging learning experiences that support employee growth, enhance job performance, and align with business goals. The ideal candidate will have strong experience in instructional design, adult learning principles, and e-learning development tools.
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Job description
About Us-
At Vertical Fox, we’re building a modern SaaS platform that simplifies how companies manage employee benefits. As a product company, we obsess over getting the details right — especially when it comes to configuring complex insurance plans. Our clients count on us to make the confusing world of benefits… less confusing.
Key Responsibilities:
- Interpret and configure benefit plans, rate structures, and contribution strategies within our platform
- Analyze documents like SBCs, rate sheets, and benefit summaries with attention to financial implications
- Collaborate with software developers to test plan functionality and flag any issues or mismatches
- Help simulate edge cases and validate end-to-end user scenarios from a benefits perspective
- Assist Customer Success Managers in onboarding and maintaining client plan configurations
- Provide feedback to the product team based on actual client use cases and plan behaviours.
You’ll Excel If You:
- Are an MBA (Finance) graduate or have similar experience in financial analysis, insurance, or benefits
- Are detail-oriented and can spot a typo in a 20-page document without breaking a sweat
- Can think logically through how a benefits rule should behave in software
- Enjoy working in a team that includes both client-facing folks and developers
- Like the idea of combining structured work with some hands-on product exposure
- Want to build domain expertise in US insurance/benefits, finance-tech, or HR SaaS
Bonus Points If You:
- Have worked with US-based insurance or benefit plans
- Know your way around testing workflows or tools like Cypress or Postman
- Can handle a spreadsheet like a pro-Excel or Google Sheets or financial modelling tools
- Have experience in QA, even if basic, or have a curious mindset about how things break
Job Brief
We are currently hiring a Shopify Developer to join in our team who will be responsible for handling the development of Shopify-based websites including layout, user interface (UI), and front & back-end development. The person will also handle Shopify Apps and Integrations for the aforementioned functionalities.
Main Responsibilities of a Shopify Developer
- Manage e-commerce digital shelves and day-to-day website updates; responsible for maintenance, and accuracy of all website assets (creative, product imagery, landing pages, etc.) via Shopify.
- Monitor site performance, speed, traffic, and conversion across all device type
- Improve the e-commerce experience and feature sets by evaluating new payment solutions, customer communication tools, mobile solutions, merchandising tools and other enhancements.
- Executes all product websites, categories, and pricing data.
- Implementing Shopify plug-ins, themes and Customizing templates
- Maintain well-documented, reusable, and transferable code
Key Requirements
- Have a Strong understanding of front-end and back-end website development.
- Have Strong Knowledge of Shopify platform
- Hold a bachelor's degree with a preference for computer science or a related field
- Knowledge of cloud hosting (preferably Amazon LightSail)
- Have a strong portfolio of previous projects
As a Sr. Cloud IoT Engineer with Intuitive, you will be responsible for the data acquisition from devices and sensors that allows the device to connect seamlessly with other systems. You will be researching, creating, testing, and documenting IoT solutions with integrated systems and devices to help the analytics and data science initiatives across our enterprise customers.
You will be working closely with SMEs in Data Engineering and Cloud Engineering, to create solutions and extend Intuitive's DataOps Engineering Projects and Initiatives. The Sr. Cloud IoT Engineer will be a central critical role for establishing the DataOps/DataX data logistics and management for building data pipelines, enforcing best practices, ownership for building complex and performant Data Lake Environments, work closely with Cloud Infrastructure Architects and DevSecOps automation teams. The Sr. Cloud IoT Engineer is the main point of contact for all things related to ingestion of telemetry data and saturation into time series or other databases. In this role, we expect our DataOps leaders to be obsessed with telemetry data and providing insights to help our end customers.
KEY REQUIREMENTS:
- 10+ years’ experience as data engineer.
- Must have 5+ Years in implementing IoT engineering solutions with multiple cloud providers and toolsets.
- This is hands on role building data pipelines using Cloud Native and Partner Solutions. Hands-on technical experience with Data at Scale.
- Must have deep understanding of solutions like AWS IoT Greengrass edge runtime and cloud services to build, deploy, and manage device software across the fleet of devices.
- Hands on experience with AWS IoT stack like Core, SiteWise, Kinesis, Lamda, Timestream
- Performance Tuning of streaming telemetry data based with tools like Grafana, Amazon Cloudwatch and QuickSight informed by business requirements.
- Good working experience on Web Service Integration, RESTful APIs, WebSockets and MQTT.
- Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration
We are seeking a developer responsible for building games for various target platforms based on the Unity framework. Your primary responsibilities will be to implement game functionality translating design ideas, concepts, and requirements into a functional and engaging game. A commitment to collaborative problem solving, sophisticated design, and a quality product are essential.
Job Responsibility:
- Implement game functionality as per communicated design
- Translate design specification into functional game
- Communicate with other team members to establish effective pipeline and integrate media assets
- Design, build, and maintain efficient, reusable, and reliable code
- Ensure the best possible performance, quality, and responsiveness of applications
- Identify bottlenecks and bugs, and device solutions to address and mitigate these problems
- Help maintain code quality, organization, and automatization.
Required Skills & Qualification:
- Candidate must have 2D & 3D both experience
- Candidate must have ads integration, in-app, Firebase & Play services integration experience
- Candidate must have server-client communication experience
- Candidate must have 3D characters integration experience
- Candidate must be part of 3 games which are live on Google Play OR Apple Store.










