Nineleaps
Company Overview
Building Systems That Matter
At Nineleaps, we build modern data ecosystems and AI-powered platforms that help organizations drive measurable business growth, accelerate innovation, and make smarter decisions.
Our Origin Story
Founded by engineers Divy Shrivastava and Vivekanand Jha, Nineleaps was built on a simple but powerful belief: engineering should not merely execute business strategiesโit should actively shape them.
The founders recognized that many digital transformation initiatives struggled because engineering was viewed only as an implementation function rather than a strategic capability. They envisioned a company where architecture decisions influence business outcomes and engineers help drive organizational success.
Today, Nineleaps has evolved into a global Product Engineering, Data Engineering, and AI Engineering organization, partnering with Fortune 500 companies while remaining true to its engineering-first philosophy.
Engineering Change with AI
At Nineleaps, AI is not simply a technologyโit is a strategic enabler. The company collaborates closely with organizations to:
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Build purpose-driven AI solutions
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Simplify complex business challenges
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Deliver scalable data platforms
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Accelerate decision-making processes
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Embed intelligence into business operations
The Nineleaps Approach
The What: Purpose-built intelligence tailored to business needs.
The Why: Creating clarity through intelligent decision-making.
The How: Co-creation and collaborative engineering to build scalable, business-driven solutions.
Work Culture & Hiring Values
At Nineleaps, employee growth is prioritized alongside business targets. Teams follow an agile development lifecycle with horizontal leadership patterns, encouraging open questions and product innovation. Active learning pathways, project mentorship programs, and structured career reviews ensure you continue to gain highly marketable skills.
Active Job Openings (1)
We're Hiring: Lead Data Analyst
We are looking for a highly analytical and business-focused Lead Data Analyst with strong expertise in SQL, Python, Tableau, and business intelligence. The ideal candidate should possess leadership experience, stakeholder management capabilities, and the ability to convert complex business data into actionable insights and strategic decisions.