Enterprise Solutions Strategist
AI summary of the role
Founding GTM partner working directly with the CEO to build enterprise relationships and close deals for edisyl, an enterprise AI arm of Flipside Crypto.
What you’ll do
- Work the enterprise deal cycle alongside the CEO: discovery prep, proposal drafting, SOW structuring, contract navigation, procurement sequencing
- Translate between engineering and business: sit in technical discovery sessions, understand data pipelines and AI agents, then package into commercial proposals and SOWs
- Build repeatable engagement models from POC to expansion SOW to subscription, including deal economics and margin targets
- Own relationships with champions, technical evaluators, and procurement contacts; represent edisyl at industry events and in direct outreach
What you’ll bring
- 4–8 years in enterprise sales at a data/AI company, solutions engineering, technical account management, or consulting with a tech pivot
- Experience with six-figure-plus deals, MSAs, SOWs, security reviews, and multi-stakeholder approval chains
- Ability to talk intelligently about data pipelines, AI models, agents, and cloud infrastructure
- High EQ, creative deal instinct, written clarity, organized without reminders, low ego/high agency
Technologies
AI agents · data pipelines · cloud infrastructure · MCP · natural-language queries · blockchain data · DeFi
About flipsidecrypto
Blockchain analytics firm turning messy institutional data into agentic-AI workflows for enterprises, built on 8 years of on-chain data infrastructure.
Series A · 50–100 people
Source and classification
Technical pre-sales · Evidence for this classification:
edisyl builds AI solutions that turn messy institutional data into decisions, workflows, and outcomes. We came out of blockchain data infrastructure - 8 years, 20+ chains, 700M+ resolved wallets - and now deploy that capability to enterprises navigating the same challenge: how to make their data work for them at scale, without armies of analysts. We have active deployments with a finanical institution and Interlochen, a proven architecture, and inbound from firms that need what we've built. The technology works. What we're building now is the enterprise motion around it. The Role We're looking for someone to work directly with the CEO to build enterprise relationships and close deals. This is not a quota-carrying AE role. It's closer to a founding GTM partner - someone with high EQ, creative deal instincts, and the ability to navigate complex organizations and build trust at multiple
More from the job description
Who This Is For Most enterprise data is a mess. Not because companies lack data - they have too much of it, poorly connected, locked in silos, and inaccessible to the people who need it most. edisyl fixes that with agentic AI. But technology alone doesn't close deals. You've been in rooms where the problem is real, the technology is credible, and the deal still falls apart because no one could hold it together. You've been the one who held it together. You're energized by complexity, not paralyzed by it. You can sit in a technical discovery session, understand what's actually being built, and turn it into a commercial narrative that makes a VP of Data Engineering and a CFO both lean in. You build relationships that outlast any single deal. You write things people forward to their colleagues. You're not looking for a playbook. You're looking for the chance to write one. About edisyl edisyl builds AI solutions that turn messy institutional data into decisions, workflows, and outcomes. We came out of blockchain data infrastructure - 8 years, 20+ chains, 700M+ resolved wallets - and now deploy that capability to enterprises navigating the same challenge: how to make their data work for them at scale, without armies of analysts. We have active deployments with a finanical institution and Interlochen, a proven architecture, and inbound from firms that need what we've built. Th [... source excerpt omitted ...] It's closer to a founding GTM partner - someone with high EQ, creative deal instincts, and the ability to navigate complex organizations and build trust at multiple levels. What You'll Actually Do Work the enterprise deal cycle alongside the CEO Own the mechanics: discovery prep, proposal drafting, SOW structuring, contract navigation, procurement sequencing Help shape positioning for each account - this is consultative selling, not product selling Keep deals moving; know where each opportunity stands and what it needs next Translate between our engineering team and the business You don't need to write code, but you need to hold your own in a conversation about data pip [... source excerpt omitted ...] cts real relationships, not just names in a CRM. The measure isn't just revenue - it's whether the enterprise motion is a real, repeatable thing that exists because you built it. You'll know you're winning when the deals you're running have genuine momentum behind them, the champions in your accounts are calling you, and the CEO stops having to carry the deal mechanics and shows up only at the moments that need them. Compensation Competitive base salary, meaningful early-stage equity, and a variable component tied directly to the deals you close. Equity is real and early - this is a founding role and we price it that way. Variable is tied to deal outcomes you directly influe
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