Founding Head of Product Management & Business Development (Equity-only)

About Us

Inaccuracies (such as bias, hallucination, and non-determinism) from AI models, stemming from flawed data, imperfect prompts, or misinterpretations, can cause significant harm and erode trust across many industries. The impact ranges from just not quite correct and inconvenience in less critical applications to serious financial losses, safety risks, legal liability, and discrimination in high-stakes fields like healthcare, finance, and autonomous vehicles. In an enterprise, a minor error/deviation at each step in a multi-step agentic workflow can lead to a huge drift from the expected final outcome.

We are an early-stage AI startup assembling a world-class team to shape the future of robust AI. We are researching, experimenting, and developing practical solutions to make AI applications robust. Currently, we are a small team of experienced engineers and researchers passionate about making AI usable in mission critical applications. If the problem resonates with you, and you want to be part of the team, join us.

We believe great products come from the intersection of technology, engineering, design, and business understanding. We're now seeking a founding member who can drive the business side with equal passion and vision.

Role Overview

We're looking for a Product Management & Business Development leader who will partner closely with the technical founding team to shape GreenSand AI's market direction, customer strategy, and product roadmap.

This person will act as the bridge between technology, customers, and the market — leading go-to-market strategy, validating customer needs, building strategic partnerships, and guiding the product's evolution.

This role has even broader scope, leading the company across all functions including fundraising, team building, and strategic execution.

Key Responsibilities

Product Management

• Translate customer insights and market trends into clear product requirements and roadmap priorities.
• Work closely with engineering to ensure product-market alignment.
• Lead product launches and drive adoption and retention metrics.
• Prioritize features and workflows based on impact, feasibility, and differentiation.
• Create feedback loops between users, engineering, and design.

Business Development & Strategy

• Define and execute GreenSand AI's go-to-market and commercialization strategy.
• Identify, develop, and close strategic partnerships and early customer relationships.
• Lead customer discovery and engagement — from first conversations to pilots and contracts.
• Represent GreenSand AI in investor, partner, and industry meetings.
• Develop pricing, positioning, and value proposition frameworks.

Leadership & Company Building

• Serve as a strategic partner to the founding team, helping guide company vision, values, and operating rhythm.
• Recruit early hires and advisors in business development, marketing, and customer success.
• Prepare and deliver investor materials — pitch decks, financial models, and strategic narratives.
• Develop operational systems for scaling (sales pipeline, CRM, metrics).

Ideal Background

• 5–10+ years experience in business development, product management, or strategy in technology startups or SaaS companies.
• Desire/motivation/hunger to build an AI company. Nice to have: a proven success in early-stage environments.
• Strong understanding of AI/ML, SaaS, or enterprise software markets.
• Excellent communicator — comfortable engaging customers, investors, and technical teams.
• Entrepreneurial mindset: thrives in ambiguity, bias for action, and creative problem solving.
• Experience raising capital or working closely with investors is a plus.
• Technical fluency is a bonus (you don't need to code, but you can talk to engineers).

What You'll Gain

• Founding level equity in GreenSand AI, commensurate with contribution and stage.
• Opportunity to shape company vision and culture from day one.
• Work alongside an engineering-driven founding team passionate about solving real, complex problems with/for AI.
• High autonomy, shared ownership, and impact on every aspect of the company.