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Growth Engineer

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Hybrid

Growth Engineer

Nayberry

Growth Engineer

Skills

SQL QueriesNextReactNodePythonData AnalysisAIGitHubCommunication CampaignGoogle AdsGoogle Analytics

1 day ago

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Important information


Contract type:

Permanent

Salary:

₹600,000 – ₹1,300,000 / year

Location:

Chandigarh, India

Work mode:

Hybrid

Published on:

22 October 2026

What they need


Were looking for a technical, highly resourceful growth hacker who can combine performance marketing with rapid AI-assisted development.

This is not a traditional developer role and its not a traditional performance marketer role either.

You’ll sit at the intersection of marketing, data, automation, AI, and code, building things that help us acquire customers faster and optimize campaigns more intelligently.

Build and rapidly iterate landing pages, funnels, calculators, lead-gen tools, and marketing experiences.

Use AI coding tools such as codex, Cursor, Claude code, ChatGPT, GitHub Copilot, etc. to prototype and ship quickly.

Build automation around performance marketing campaigns and workflows.

Integrate APIs from platforms such as Meta, Google, CRMs, analytics tools, email/SMS platforms, and other marketing systems.

Implement and troubleshoot tracking, attribution, pixels, events, UTMs, conversion APIs, and analytics.

Work closely with performance marketers to identify bottlenecks and opportunities.
Run rapid experiments across landing pages, offers, funnels, creative, and conversion flows.
Pull and analyze campaign data to identify what is working and what isn't.
Build internal dashboards and lightweight tools that make the marketing team more efficient.
Automate repetitive marketing and reporting tasks.
Turn ideas into working prototypes quickly — often within hours or days rather than weeks.
Continuously experiment with new AI tools and technologies that can give the growth team an advantage.

Bonus Points
Experience with Meta Ads or Google Ads.
Experience with GA4, GTM, conversion APIs, attribution, or tracking infrastructure.
Experience with React, Next.js, Node.js, Python, SQL, or similar technologies.
Experience with marketing automation platforms.
Experience working with CRMs.
Experience building AI-powered tools or workflows.
Experience running A/B tests.
Experience in a startup, agency, growth team, or high-speed environment.
You've built projects yourself outside of your formal job.
You actively use AI coding tools and can demonstrate things you've built with them.

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