Role overview
The opportunity
The success of open source protocols, particularly in Web3, is directly correlated with developer activity and growth. This, in turn, is driven by developer relations professionals that support efficient developer onboarding and retention. However, talented web3 developer relations professionals are in limited supply and lack the proper tools to scale their expertise, creating friction for developers. Boolean Labs is building a set of tools to enable developer relations teams in Web3 and beyond to seamlessly onboard, educate and co-create with their developer community.
This venture has been significantly de-risked, with product-market fit verified and a solid commercial traction. Diagram provides capital, network, and support services, giving you the leverage you need to quickly scale this business. This opportunity is ideal for a motivated entrepreneur, looking to maximize their chances of success, all while retaining significant founder equity.
What you'll work on
- Build and lead a high caliber team
- Articulate and drive the strategic vision of the organization; define and oversee execution of product roadmap
- Develop and maintain customer relationships across the industry
- Provide overall leadership to the organization, working across all aspects and functions of the business (product, marketing, sales, services, engineering, finance, etc.)
- Lead the fundraising efforts in conjunction with the management team and investors
- Work closely with the investors/board, communicating regularly
What we're looking for
- Ability and credibility to sell the product vision and AI product differentiation to customers, investors, employees, and partners.
- Strong product background with ability to build intuitive UI/UX and rapidly adapt use cases and product roadmap to changing market conditions and customer feedback.
- Empathy for different Web3 and Web2 customer personas, including developer relations, product managers, technical writers, developers, and engineers.
- Deep connections with top Web3 protocols and communities; e.g. L1s, L2s, cross-chain.
- Understanding of how to leverage the unique elements of Web3 (e.g. community, token-based reputational systems, incentives, and access) to train LLMs with humans in the loop.
- Data engineering strengths to structure, manage, and organize public and private data used in LLM models.