The Role
NxtWave is scaling fast2,000+ hiring companies, 650+ districts, and a product roadmap that moves at startup pace. We need someone who ships AI solutions that teams actually use, not someone who builds decks about them.
This is an 80% building, 20% coordination role. You will own automation initiatives end-to-endfrom spotting the problem to deploying the fixand measure success by one thing:
Number of AI solutions live and actively used 90 days after launch.
You report directly to leadership. No committee approvals. No months-long sprints. We ship in days.
What You'll Own
Automation & AI Deployment
- Identify high-friction workflows across Sales, Ops, Finance, and Supportthen eliminate them with AI.
- Build and maintain automations using Make, n8n, and Zapier; integrate via REST APIs and webhooks.
- Deploy AI agents (content generation, data extraction, summarisation, Q&A) using ChatGPT, Claude, and Gemini.
- Write clear, actionable PRDs for complex initiatives; own the backlog from idea to live.
Metrics & Dashboards
- Define success metrics for every solution before you build it.
- Build real-time dashboards (Retool, Notion, Airtable) and automate weekly/monthly reporting.
- Analyse adoption, funnels, and retention; run A/B experiments and feed insights back into improvements.
- Integrate data from CRMs, ERPs, spreadsheets, and databases into a single source of truth.
AI Calling & Conversational Automation
- Deploy AI voice agents for outbound calls, lead qualification, and follow-ups (Bland AI, Vapi, Retell).
- Own scripts, integrations, and monitoring end-to-end.
- Track and optimise: conversion rate, connect rate, and sentiment.
Strategy & Stakeholder Alignment
- Translate company priorities into a sequenced AI roadmap with clear milestones.
- Size opportunities with data; run build-vs-buy assessments for new AI tooling.
- Align cross-functional teams (Product, Sales, Operations) with concise decision docsnot lengthy presentations.
- Enable internal teams through release notes, playbooks, and hands-on workshops.
What Success Looks Like (First 90180 Days)
- 2+ AI automations live, adopted, and moving a core KPI.
- Real-time dashboards in use by at least two teams.
- A clear measurelearniterate rhythm established.
- Strong satisfaction from Engineering, Ops, and Business Owner partners.
Who You Are Must-Have
- You've built and shipped products end-to-endfrontend, backend, database, and deploymenton your own.
- Hands-on experience with Make, n8n, or Zapiershipped to production, not just prototyped.
- You've personally built apps using LLM APIs (ChatGPT, Claude, Gemini). Not evaluated. Built.
- Strong APIs, webhooks, and data-flow fundamentals.
- SQL, spreadsheets, and basic databasesyou can pull your own data.
- Clear written communication; you can align a room with a one-pager.
- High ownership: you chase problems, not tasks.
Technical Stack
- REST APIs, JSON, structured data pipelines.
- AI-assisted coding tools: Cursor, Replit, Lovable.
- Modern AI stacks: OpenAI Agents, LangChain/LangGraph, vector DBs, RAG.
- Basic web apps and hosting; comfort deploying what you build.
Good to Have
- AI calling tools: Bland AI, Vapi, Retell.
- Python or JavaScript scripting.
- No-code/low-code: Webflow, Framer.
- EdTech, operations, or startup background.
This Role Is Not For You If...
- You need team sign-off and a detailed roadmap before producing any output.
- You need a team before you produce output.
- Your last hands-on AI build was more than 6 months ago.
- You prefer writing specs over shipping solutions.
- You measure your progress in months, not days.
- You coordinate work more than you do it.
- You manage servers, not build products.
Work Details
Location: Hyderabad (On-site)
Working Days: 5 days a week
Type: Full-Time
