Senior Enterprise Solutions Strategist (AI)

Enterprise Solutions Strategist

Company

edisyl

Conditions

4 hours agoSenior Boston / Remote Remote Full Time Sales Jobs by edisyl

edisyl 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. Seed Company intelligence Distributed Funding history Unknown ($50M) Unknown ($7.1M) Seed ($4.5M) Investors Founder Collective commerce-ventures M13 Castle Island Ventures Gaingels 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. View jobs by edisyl

Skills

Account Management Ai Channel Sales Contract Data Discovery Enterprise Sales Msa Procurement Proposal Sales Enablement Security Review Solution Engineering Sow

Candidate Availability

Boston · Required Remote · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will work directly with the CEO to build relationships and close enterprise deals within a strategic partner network. You will run discovery, develop commercial narratives, manage proposals, SOWs, procurement, and contracts, and document a repeatable enterprise sales playbook.

Requirements

• Channel sales experience in complex organizations
• Technical fluency in data and AI solutions
• Ability to communicate with technical and business decision-makers
• Deal-shaping and commercial judgment
• Strong proposal, SOW, and deal-memo writing
• Ability to organize follow-up and manage opportunities
• 4–8 years of enterprise sales, solutions engineering, or technical account management experience at a data or AI company
• Experience with six-figure-plus deals, MSAs, SOWs, security reviews, and multi-stakeholder approval chains
• Experience selling into or through large enterprise accounts

Responsibilities

• Build and maintain relationships with internal account partners
• Find creative entry points into client conversations
• Run discovery with client stakeholders and develop commercial narratives
• Own proposal drafting, SOW structuring, procurement sequencing, and contract navigation
• Track wins and build the data case for the offering
• Enable internal partners to pursue smaller opportunities
• Document effective practices to create a repeatable enterprise sales system

Benefits

• Early-stage equity

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