Sourced Staff Engineer roles across Dragonfly portfolio requiring end-to-end ownership of product, infrastructure, and architecture. Build AI-native features, ship production systems at scale, work directly with founders, and move fast in ambiguous, early-stage environments.
About Dragonfly
Dragonfly is a global investment firm focused on the future of money, markets, and intelligence. With origins in crypto and over $3.5 billion in assets under management, we invest in generational companies and protocols across the frontier of finance and technology. We're a team of seasoned VCs, technologists, and markets experts with deep roots in New York, Silicon Valley, and Asia. We've published some of the industry's most widely read research on stablecoins, market structure, decentralized finance, networks, protocol security, and increasingly, the intersection of finance and AI.
This is an application to join our talent network. This is not a listing for an internal role at Dragonfly.
We're actively sourcing for Staff Engineers across multiple portfolio companies. These are high-ownership, hands-on roles for engineers who want to be close to the code and architecture.
Location: San Francisco (onsite) / some roles are NYC or USA (remote)
What We're Looking For:
- 8+ years of software engineering experience with a track record of end-to-end ownership
- AI-forward mindset, you build with and on top of AI as a core part of your workflow, not an afterthought
- Full-stack capability with comfort owning architecture, infrastructure, and deployment
- Experience shipping production systems at scale with real users and real stakes
- Strong technical instincts, you push for simpler designs, good observability, and strong engineering culture
- Comfortable operating in ambiguity and moving fast in early-stage environments
About the Roles:
- End-to-end ownership across product, infra, and architecture
- Work directly with founders and small teams, no layers, no bureaucracy
- Ship fast, iterate, and have a real say in technical direction
- Build AI-native features, integrations, and systems from the ground up
A note: several of these teams are specifically looking for engineering leaders who want to return to being hands-on individual contributors. If you've been in management and miss building, this is worth a look.
Even if you don't match every point above, we encourage you to apply. There may be other opportunities that fit your skill set.
Process:
- We'll confidentially match you with portfolio companies aligned with your background, skill set, and interests
- If mutual interest exists between you and a team, we'll facilitate a warm introduction
- If there isn't a match today, we'll keep you top of mind for future opportunities
Compensation
- $200,000–$300,000
The compensation range reflects variation by seniority, location, and hiring company. Final compensation is confirmed with the specific hiring company.
Submit your information below, and we'll reach out if there's a potential fit.
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.
Top Skills:
Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdEvaluation FrameworksLangsmithLlmsModel RoutingObservability ToolingPythonRuby On Rails
Enterprise Web • Hardware • Internet of Things • Software
Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.
Top Skills:
AITulip
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads Pfizer’s medical channel excellence team and develops global omnichannel strategies for scientific engagement across therapeutic areas. Oversees audience journeys, digital and social channels, paid media, vendor relationships, budgets, regulatory alignment, and channel performance. Partners with Medical Affairs, R&D, Evidence Generation, legal, compliance, and global teams to disseminate scientific content to healthcare professionals. Provides strategic leadership, manages resources, develops channel infrastructure, and drives innovation in personalized medical communications.
Top Skills:
Digital PlatformsOmnichannel Engagement PlatformsScientific Content Dissemination ToolsSocial Media ChannelsThird-Party Digital Platforms
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
