Galaxy Ventures is creating a talent network to connect candidates for Business Development/Partnership roles with portfolio companies in the crypto industry. Candidates will remain confidential and are not obligated to join any agreement. They will be considered for future opportunities as they become available.
As our portfolio companies grow, Galaxy Ventures helps them hire and scale teams by selectively connecting top industry talent with their open roles. A piece of this is the Galaxy Ventures Talent Network, an invite-only network of elite crypto industry professionals.
By applying and being accepted into the network, you will be on our short list of Business Development/Partnerships candidates that we confidentially share with our portfolio company founders who are hiring. We welcome all experience levels and specializations to apply.
Joining is confidential and doesn't commit you into any agreement. Candidates in our network will be shared with portfolio companies on a case-by-case basis for career opportunities as well as receiving invitations to invite-only networking events like our Constellations series.
Galaxy Ventures invests in crypto’s cutting edge founders, technologies, and business models across software infrastructure, financialized applications, protocols, and consumer use cases. Since 2018, we've invested at early stages and directly support globally distributed portfolio companies spanning the entire crypto ecosystem.
How it works:
1) Apply below to join and we'll review your application. Upon acceptance into our Talent Network and compatibility with an open role, we’ll discreetly share your profile with portfolio companies hiring for opportunities that might be a fit for you.
2) If there’s a mutual fit, we’ll facilitate a warm introduction directly to our portfolio company.
3) If timings not right, we'll keep the line of communication open and surface opportunities to you as they become available.
Similar Jobs
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Own and grow strategic technology partnerships end-to-end: sourcing, negotiation, integration scoping, cross-functional alignment, co-marketing/co-selling, KPI tracking, and ecosystem strategy to drive product integrations and influenced revenue.
Top Skills:
Adobe ExchangeAffinityAPIsAws MarketplaceCmsCrossbeamHubspot App MarketplaceLoomModel Context Protocol (Mcp)No-CodeSalesforceSalesforce AppexchangeSlackWebflow
Artificial Intelligence • Automotive • Machine Learning • Financial Services
Own end-to-end partnerships for new product lines (home, motorcycle, adjacent): build pipeline, structure and close complex multi-stakeholder deals, onboard and drive partner success, and feed partner insights into vertical strategy while working cross-functionally.
Artificial Intelligence • Automotive • Insurance • Software
Lead end-to-end partnerships for new product lines (home, motorcycle, adjacent products). Build pipeline, structure and close complex multi-stakeholder deals, onboard and drive partner success, and inform vertical strategy. Work cross-functionally with product, engineering, data science, legal, finance, and executives to scale distribution and supply for Jerry's marketplace.
Top Skills:
AIMachine Learning
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



