Lead Generation Executive – B2B IT Services

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

SDET-1 | Quality Engineering (AI-Native)

📍 Noida | 🕐 Full-Time | 🧭 Experience: 2+ Years

The Mission: Beyond "Automation"

At TestMu AI, we aren’t just fixing bugs; we are deprecating the old manual-heavy testing world. We are building Agentic Intelligence—end-to-end AI agents that autonomously plan, author, and self-heal tests.

As an SDET-1, you aren't a "script maintainer." You are an AI-first Quality Architect. You will be responsible for bridging the gap between legacy automation and the future of autonomous agentic workflows. If you want to move from "writing code that tests" to "building AI that tests," this is your seat.

The Pillars of Impact

🚀 1. Agentic Framework Engineering (50%)

• Architectural Excellence: Build and scale deep-level frameworks (Playwright, Selenium, Appium) designed specifically for AI-driven execution.
• AI Augmentation: Integrate LLMs and Agentic tools into the SDLC to automate test generation and reduce human intervention by >50%.
• Performance Coding: Leverage strong DSA foundations to write highly optimized, non-blocking test code that scales with our platform.

⚙️ 2. Autonomous CI/CD & Reliability (30%)

• Pipeline Orchestration: Design seamless "no-touch" integration into CI/CD (GitHub Actions / Jenkins) where tests trigger and analyze results autonomously.
• Root Cause Mastery: Use deep-dive debugging to eliminate flakiness, ensuring our AI agents operate in a stable environment.
• Full-Stack Ownership: Move beyond checklists; you own the E2E quality of your ticket/module from creation to deployed.

🧠 3. Tech Depth & Tooling (20%)

• Polyglot Mastery: Solve complex technical challenges across Java, Python, or TypeScript.
• Cloud Infrastructure: Validate data flows across AWS/GCP, Dockerized containers, and complex DB architectures.

The Interview Loop: Screening for the Top 1%

We look for problem solvers who thrive under pressure and think in systems, not just scripts.

• Technical Round I (SDET Leads): Focus on Core DSA, live coding, and the "why" behind your framework architecture decisions.
• Technical Round II (Hiring Manager): AI Hands-on Assessment—how you use agents today to eliminate toil and speed up your workflow.
• Technical Round III (VP Engineering): Solving for Scale. We’ll discuss debugging at scale and communicating technical risks to stakeholders.
• Final Round (CEO): Vision Alignment—readiness to lead the era of Agentic Intelligence.

Mandatory "Non-Negotiables"

• AI-Native Workflow: You don't just "know" AI; you use it daily (Copilots, Agents, LLM-wrappers) to be 2x more productive.
• Engineering Depth: You must be able to explain the design patterns behind your frameworks. Note: Candidates with only manual or basic "record-and-play" experience will not be shortlisted.
• Extreme Ownership: You take pride in shipping zero-defect features and don't wait for instructions to fix a broken pipeline.

Your Growth Trajectory

TestMu AI is a high-velocity environment where you will receive direct mentorship from Senior Leadership. Your path to Senior SDET or Quality Architect is performance-based, not tenure-based. We promote based on the complexity you can solve, not the years on your resume.

Perks of the Future

• Health & Wellness: Comprehensive insurance for you and your family.
• Fuel for Innovation: Daily catered gourmet meals at our Noida HQ.
• Seamless Transit: Safe, reliable cab facilities for eligible shifts.
• Pod Culture: Dedicated budgets for offsites, team building, and continuous learning.

Our client a luxury home décor brand. It’s nothing less than a revolution in home décor industry- where technology enables world class home interior design.