Product Manager
Edisyl, identified in the site’s patent disclosure as Flipside Crypto Inc, provides enterprise semantic-data infrastructure and AI-agent systems. It helps organizations encode internal metric definitions and connect data sources so AI systems, pipelines, and intelligence workflows can operate using the organization’s own business context.
Funding history
About edisyl
Edisyl builds a semantic layer for enterprise data that captures organizational definitions, metric logic, and otherwise undocumented knowledge, then binds that context to existing data systems. Its platform comprises Stratum, the semantic intelligence layer; Forge, an agent framework and tools layer; and Lattice, agent-fleet orchestration. The company deploys these capabilities in client environments for use cases including lead scoring, CRM write-back, automated briefings, multi-source data connectivity, and generation and validation of DBT transformation pipelines. Its foundation includes prior blockchain-data infrastructure and entity-resolution work across multiple chains.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the long-term product roadmap and turn vision and market feedback into a sequenced plan. You will lead customer and market discovery, resolve product-architecture decisions, define specifications and priorities, and work with engineering, data science, sales, and customer success on product quality and adoption.
Requirements
- Approximately 7+ years of product experience
- End-to-end ownership of a product line or surface
- Roadmap ownership and accountability for adoption, retention, and growth
- Experience shipping products focused on simplicity or ease of adoption
- Experience driving AI-product adoption in large organizations
- Experience working with engineering and data science on technical products
Responsibilities
- Own the long-term product roadmap
- Run continuous customer and market discovery
- Resolve product-architecture decisions
- Define product specifications, sequencing, and priorities
- Partner with engineering and data science on knowledge-base quality
- Partner with sales and customer success on adoption and deal insights
Benefits
- Meaningful early-stage equity
- Remote work
