About the Role
We are seeking an entrepreneurial technology leader eager to leverage AI and data expertise to build an AI-powered B2B venture from the ground up. This founding opportunity is tailored for experienced engineers who aspire to move beyond simply executing another's vision. Over a focused 12-week, fully remote program, you will validate a genuine market problem, define a product-led minimum viable product (MVP), and develop a working solution with measurable business value. This role encompasses shaping the technical architecture, data strategy, and deployment approach while establishing a compelling competitive advantage. With support from experienced mentors, fellow founders, and a global startup network, you will refine your product and prepare a technology vision that is ready for investors.
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Accountabilities:
As a founding technology leader, you will drive the technical and product development of the AI-powered B2B venture, balancing feasibility, customer needs, and commercial potential throughout the 12-week program.
- Identify and validate a B2B problem where AI can deliver measurable value through time savings, cost reduction, or risk mitigation.
- Define a product-focused MVP that addresses a clear customer need rather than prioritizing model complexity for its own sake.
- Design the data strategy, including data collection, labeling, evaluation, monitoring, and continuous improvement.
- Architect and deliver a reliable prototype or MVP, incorporating APIs, data pipelines, appropriate safeguards, and feedback loops.
- Establish foundational production practices for model deployment, monitoring, reliability, and ongoing performance evaluation.
- Iterate on the product based on validation results, user feedback, and evolving business requirements.
- Develop a compelling technical and product narrative for potential investors, illustrating the venture's competitive advantage, data strategy, and product roadmap.
- Collaborate with co-founders, mentors, and other startup participants to refine the business concept and accelerate execution.
- Dedicate approximately 10–12 hours per week to building, validating, and improving the venture over the 12-week sprint.
Requirements:
The ideal candidate is an experienced software engineer with strong AI/ML or data product expertise, a product-oriented mindset, and the ambition to take ownership of a new business venture.
- At least 7 years of experience in software engineering, with substantial exposure to AI/ML or data-driven products.
- Demonstrated experience deploying software, machine learning models, or data products into production environments.
- Understanding of MLOps fundamentals, including deployment, monitoring, reliability, and performance evaluation.
- Ability to design practical AI and data solutions that address real business problems and deliver measurable outcomes.
- Strong product judgment, with the ability to define MVP scope, prioritize essential functionality, and determine when a solution is ready for validation.
- Experience or familiarity with APIs, data pipelines, evaluation frameworks, and production-ready system design.
- An entrepreneurial mindset, with a genuine desire to build a company, take ownership of technical decisions, and participate in the potential upside of a venture.
- Ability to work independently, make decisions under uncertainty, and move quickly from problem discovery to product execution.
- Willingness to commit approximately 10–12 hours per week for 12 weeks.
- Interest in collaborating with co-founders, engaging with mentors, and developing an investor-ready vision for an AI-powered B2B business.
Benefits:
- A structured, 12-week startup sprint to progress from problem discovery to MVP development, validation, and iteration.
- Fully remote participation with an international community of founders and technology professionals.
- Weekly accountability sessions and a consistent execution cadence to maintain momentum and focus.
- Access to a network of more than 500 mentors specializing in B2B businesses, product development, go-to-market strategy, and fundraising.
- Connections to a global alumni network of more than 440 startups across over 40 countries, offering opportunities for learning, collaboration, and introductions.
- A practical CTO toolkit for AI ventures, covering product scoping, model evaluation, deployment, and the development of a defensible competitive advantage.
- The opportunity to become a co-founder or join a founding team and build an AI-powered business with long-term growth potential.
- A participation fee is required after acceptance to secure commitment to the cohort.
