The vacancy is well-structured with clear expectations, though compensation details could be improved.
Job description
Flipside Crypto builds AI solutions that turn messy institutional data into decisions, workflows, and outcomes. We have active deployments with Fidelity and Interlochen, a proven architecture, and inbound from firms that need what we've built.
Responsibilities
- Lead technical onboarding and implementation from data environment discovery through production deployment
- Build, configure, and troubleshoot data connectors, pipelines, and AI agent workflows inside client environments
- Serve as the primary technical point of contact for your accounts post-deployment
- Surface what you're learning in the field — product gaps, failure modes, recurring patterns — back to engineering
- Develop implementation playbooks from each engagement
Requirements
- 4–8 years combining hands-on data engineering with direct deployment or customer exposure
- SQL fluency; proficiency in Python preferred
- Hands-on experience building or deploying AI agent workflows
- Experience inside enterprise data environments
Conditions
- Competitive base salary and meaningful early-stage equity
- Transparent compensation discussions
About Flipside Crypto
Flipside Crypto provides enterprise-grade blockchain data, AI agents, and analytics tools to transform raw onchain data into actionable intelligence for ecosystem growth. They empower analysts and drive market cap growth for partners like Solana, Avalanche, NEAR, and Aptos through data, science, and community.