Lead I - Business Analysis

Role & Responsibilities

As a Junior Full Stack Engineer at , you will work on product features end-to-end - from the data model to the pixel on the screen.

You will work alongside senior engineers, learn to bridge engineering and product, and contribute to translating complex business workflows into interfaces that enterprise teams actually use. You will own smaller features and grow into full vertical ownership over time.

• Work on product features end-to-end - complex configuration UIs, workflow builders, and operational dashboards for enterprise users
• Contribute to customer-facing surfaces - SDKs, embeddable flows, and APIs that directly shape how clients experience
• Learn and apply frontend architecture best practices - component structure, state management, performance optimisation, and accessibility
• Build backend APIs and data models under senior guidance - developing end-to-end ownership over time
• Debug issues across the full stack - learn to trace problems from symptom to root cause
• Collaborate with design, product, and customer success - hear feedback from real users and let it shape what you build
• Partner with the GenAI engineer to surface AI capabilities through clean, well-designed product interfaces
• Participate in code and design reviews to learn and grow

Ideal Candidate

• Strong Full Stack Engineer profiles
• Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)
• Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments
• Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces
• Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries
• Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices
• Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes
• Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks
• Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)
• Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies
• Preferred (Skill 1) – Strong proficiency in TypeScript, with experience in type-safe architecture and scalable frontend/backend systems
• Preferred (Skill 2) – Experience with testing frameworks such as Cypress / Playwright and strong unit testing practices
• Preferred (Skill 3) – Experience working with cloud platforms (AWS preferred)

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).

Are you passionate about the clean energy transition and looking to build real-world experience at the intersection of energy, data, and technology?

1E9 Advisors is seeking motivated Energy Analyst Interns to join our team. We’re a technology company that delivers strategy and software solutions across industries, with deep expertise in energy markets, commodities, and risk management.

This internship is ideal for candidates who are analytical, detail-oriented, and eager to explore how battery storage and market optimization work in real-world settings.

Important Note: This position is not open to applicants who are currently enrolled in full-time degree programs. This internship is designed to transition into a full-time role for successful candidates, so we are seeking candidates who are available for immediate full-time employment upon completion of the internship.

What You’ll Work On:

• Analyze and interpret energy market data, including pricing, generation, and capacity
• Track evolving US electricity market rules and support policy analysis
• Assist in valuation and optimization models for battery energy storage
• Collaborate on internal product development and customer-facing insights

What We’re Looking For:

• Strong analytical and communication skills
• Proficiency in Python and/or Excel
• Interest in energy markets, clean technology, or battery storage
• Attention to detail and a proactive mindset

Preferred Skills:

• Understanding of US electricity markets
• Hands-on experience with battery storage valuation
• Effective written and verbal communication

What You’ll Gain:

• Practical exposure to energy markets and clean tech analytics
• Mentorship and hands-on project ownership
• Experience contributing to a production-grade software platform (BatteryOS)
• Potential pathway to a full-time opportunity

1. A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
2. Updating and maintaining HR systems, records, and reports with accurate employee data.
3. Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
4. Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
5. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
6. Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
7. Producing Information reports and complete any HR audit requirements and/or reporting as required.
8. Ensuring that the end-to-end HR process always supports a positive employee experience.
9. Following existing HR processes accurately and challenging these for ongoing efficiencies.
10. Supporting HR priority projects with any administrative activity
11. Responding to emails on behalf of the department
12. Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.

Job Description

• Minimum 3+ yrs of Experience in DevOps with AWS Platform

• Strong AWS knowledge and experience

• Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)

• Experience with IAC tools Terraform

• Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)

• Significant experience with Linux operating system environments

• Experience with infrastructure scripting solutions such as Python/Shell scripting

• Must have experience in designing Infrastructure automation framework.

• Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)

• Excellent problem-solving, Log Analysis and troubleshooting skills

• Experience in setting up centralized logging for system (EKS, EC2) and application

• Process-oriented with great documentation skills

• Ability to work effectively within a team and with minimal supervision

Job Brief -

• We are looking for a Facebook & Google Ads expert to support our lead strategists with social & search ad campaigns for our clients. 
• You will be tasked with pulling reports, making optimization recommendations, getting ads live, and making strategy adjustments as needed. 
• You'll learn how we create and optimize campaigns using our process and conversion techniques that deliver real results and get to share in the success of our marketing/advertising objectives. You will spend most of your time in Google Ads, Facebook & Linkedin & experience with Google Analytics, and Google Tag Manager is a must.