Founder's Office

Founder's Office

Location: Gurugram, India (In-Office)

Experience: 2–3 years pre-MBA (Technical Background) + 1 year post-MBA (Management Consulting)

Education: MBA from a Tier-1 institute (IIMs, ISB, XLRI, FMS, SP Jain, MDI, or equivalent)

About Ganit Inc

Ganit is a full-stack data and AI company founded in 2017, focused on helping enterprises unlock the power of data to drive business outcomes. The company specializes in AI/ML, Generative AI, Data Engineering, and advanced analytics, delivering scalable and impact-driven solutions across industries such as Retail, BFSI, CPG, Pharma, Manufacturing, and Healthcare.

With a strong belief that data should act as a strategic decision-making asset, Ganit partners with global organizations to maximize decision velocity and minimize risk through purpose-built AI solutions.

Headquartered in the U.S. with a growing presence in India, Ganit operates at the intersection of business consulting and cutting-edge data science, enabling organizations to translate data into measurable business impact.

About the Role

We are looking for a Founder's Office to work closely with the Co-founders on high-impact strategic, operational, and client-facing initiatives. This role is a unique blend of strategy, execution, and business development, making it ideal for someone who combines strong technical expertise with business acumen.

As a key member of the leadership team's extended arm, you will act as a force multiplier, driving critical projects, managing client relationships, and ensuring seamless execution across functions.

This is a high-visibility, high-impact role that offers exposure across the business — from sales and client engagement to product strategy and data-driven decision-making.

Key Responsibilities

Strategy & Execution

• Partner with Co-founders to identify, prioritize, and execute strategic initiatives across growth, sales, and operations.
• Drive OKR planning, tracking, and execution across leadership and functional teams.
• Conduct market and competitive research to inform business and product strategy.

Business Development & Sales

• Act as a liaison between founders and key clients; manage engagement delivery and relationships.
• Support end-to-end sales cycles — from lead identification and proposal development to negotiation and closure.
• Build and streamline scalable processes for lead generation, pipeline tracking, and client success.
• Develop sales enablement assets such as pitch decks, case studies, and ROI models.

Data, Product & Insights

• Leverage technical expertise to analyze business and product data; build dashboards and automate reporting.
• Collaborate with product and engineering teams to translate business requirements into technical solutions.
• Track key performance metrics and identify growth opportunities through data-driven insights.

Operations & Stakeholder Management

• Lead cross-functional initiatives, ensuring alignment across product, marketing, and business teams.
• Prepare reports and presentations for Board meetings, investors, and internal reviews.
• Support fundraising efforts through financial modeling and strategic storytelling.

Qualifications Required

• 2–3 years of pre-MBA experience in a technical role (Developer / Data Engineer).
• MBA from a Tier-1 institute (IIMs, ISB, XLRI, FMS, SP Jain, MDI, or equivalent).
• 1 year of post-MBA experience in management consulting or client-facing roles (strategy, operations, or GTM).
• Strong analytical and problem-solving skills; proficiency in SQL, Python, or similar tools.
• Excellent communication, storytelling, and presentation skills.
• Experience or strong interest in client-facing and sales environments.
• High ownership mindset, bias for action, and ability to thrive in fast-paced, ambiguous environments.

What You'll Get

• Direct mentorship and close collaboration with Co-founders.
• A front-row seat to the growth journey of a high-growth organization.
• Exposure to strategy, sales, product, and operations in a tech-driven business.
• Competitive compensation with performance-linked incentives.