About
Venxr is a media-first, AdTech company in India that delivers AI-driven media solutions, enabling advertising agencies and brands to automate workflows, manage ad spend, unify marketing dashboard, and execute faster with advanced analytics and automation.
Agile Startup
Our agility helps us percolate through the hierarchy and rapidly deploy solutions for bottommost contributor
Best of Both
A through understanding of business and technology sets us apart from our competitors
Young and Vibrant
Being a young organization we are eager to take up new challenges and make sure we custom deliver them as requested
VISION
Our vision is to become the destination AdTech company for the entire M&E sector
MISSION
We are on a perpetual mission to solve big problems and deliver exponential value to our clients
Company social profiles
Jobs at Venxr
Python
DjangoAbout Venxr
VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.
About the Role
We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.
Tech Stack
Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development
Roles & Responsibilities
- End-to-End Feature Ownership
- Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
- Full-Stack Development
- Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
- Product Thinking
- Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
- Rapid Iteration
- Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
- Cross-Functional Collaboration
- Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
- System Design & Architecture
- Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
- Debugging & Problem Solving
- Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
- AI-Native Development
- Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.
Requirements
- 3–5 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
- Strong proficiency in React.js for front-end development
- Strong proficiency in Python, with hands-on experience in Django for back-end development
- Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
- Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
- Experience working directly with Product/Design teams, not just executing tickets
- Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
- Strong debugging and problem-solving skills
Good to Have
- Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
- Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
- Experience in AdTech, MarTech, or data-heavy SaaS platforms.
- Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
- Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
- Experience with data visualization libraries (Recharts, D3.js, Chart.js).
- Familiarity with compliance-aware or explainable AI design in regulated domains.
What We Look For In Candidates
- Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
- Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
- Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
- High Standards – You hold your own code to a higher bar, even when no one's checking.
- Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
- Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
- Solidarity with the Team – You show up for your teammates, no invitation needed.
- Vitality – You bring real energy and resilience that keeps you (and others) going.
- Why Join Venxr?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture with a strong focus on career development.
- Comprehensive health benefits to support your well-being.
- Team offsites and engagement activities to build stronger connections beyond work.
- Performance-based incentives and rewards recognizing your contribution and impact.
React.jsPythonDjangoAbout Venxr
VenXR is an AI-driven AdTech startup building AdsGPT, redefining how brands plan, execute, and optimize ad campaigns through AI. We're a fast-growing, lean team looking for a Product Engineer who can own features end-to-end, from idea to shipped product.
About the Role
We're looking for a Product Engineer who thinks like a builder, not just a coder. Someone who cares as much about why we're building something as how it's built, and takes real ownership of the product outcomes, not just the code they ship.
Tech Stack
Frontend: React.js | Backend: Python (Django) | AI: Claude / LLM-driven development
Roles & Responsibilities
- End-to-End Feature Ownership
- Own features from concept to deployment — writing clean, scalable code while staying closely tied to the product goal and user impact behind it.
- Full-Stack Development
- Build and maintain front-end interfaces in React.js and back-end systems in Python/Django, ensuring performance, reliability, and scalability across the product.
- Product Thinking
- Work closely with Product, Design, and Founders to shape specs, question assumptions, and suggest simpler or smarter ways to solve user problems.
- Rapid Iteration
- Ship fast, test in production, gather feedback, and iterate, balancing speed with code quality.
- Cross-Functional Collaboration
- Partner with Design and Data teams to bring dashboards, AI-driven features, and data visualizations to life.
- System Design & Architecture
- Contribute to technical architecture decisions, ensuring the codebase stays scalable as the product and team grow.
- Debugging & Problem Solving
- Diagnose and resolve complex technical issues quickly, treating downtime or bugs as urgent, customer-impacting problems.
- AI-Native Development
- Actively build with AI — using Claude and other LLM tools not just to assist coding, but to develop AI-powered features, prompt workflows, and intelligent product capabilities within AdsGPT itself.
Requirements
- 1-2 years of experience as a Product Engineer, ideally in a startup or B2B SaaS environment
- Candidates with B.Tech in CSE, AI/ML or any other equivalent educational background from Tier-1 and Tier-2 colleges will be preferred
- Strong proficiency in React.js for front-end development
- Strong proficiency in Python, with hands-on experience in Django for back-end development
- Solid understanding of REST APIs, databases (SQL/NoSQL), and system design fundamentals
- Hands-on experience building with AI tools (like Claude), not just using them for coding assistance, but developing core AI products.
- Experience working directly with Product/Design teams, not just executing tickets
- Comfortable working in ambiguous, fast-changing environments with minimal hand-holding
- Strong debugging and problem-solving skills
Good to Have
- Familiarity with the Model Context Protocol (MCP) for securely connecting LLMs to external tools and APIs.
- Experience building conversational AI interfaces or managing complex multi-turn chatbot state across various platforms and channels.
- Experience in AdTech, MarTech, or data-heavy SaaS platforms.
- Exposure to cloud infra (AWS/GCP/Azure), Docker, and CI/CD pipelines.
- Experience with LLM evaluation/monitoring tools (Ragas, LangSmith, Langfuse, or similar).
- Experience with data visualization libraries (Recharts, D3.js, Chart.js).
- Familiarity with compliance-aware or explainable AI design in regulated domains.
What We Look For In Candidates
- Customer Obsession – A genuine curiosity about how your code impacts the customer's experience, not just whether it compiles.
- Ownership – You drive features to completion, chasing down blockers instead of waiting on them.
- Stakeholder Understanding & Management – You know when to loop in Product, Design, or Business to unblock yourself fast.
- High Standards – You hold your own code to a higher bar, even when no one's checking.
- Disagree and Commit – You debate technical decisions hard, then commit fully once the call is made.
- Simplify Relentlessly – You reach for the simplest working solution, not the most "clever" one.
- Solidarity with the Team – You show up for your teammates, no invitation needed.
- Vitality – You bring real energy and resilience that keeps you (and others) going.
- Why Join Venxr?
- Be part of a fast-growing startup that puts data at the heart of every decision.
- Opportunity to work on high-impact, real-world business challenges.
- Collaborative, transparent, and learning-oriented work environment.
- Flexible work culture with a strong focus on career development.
- Comprehensive health benefits to support your well-being.
- Team offsites and engagement activities to build stronger connections beyond work.
- Performance-based incentives and rewards recognizing your contribution and impact.
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