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Edisyl

Autonomous AI platform for unstructured data

Product Marketing Lead - Go-to-Market

Product MarketingConfirmed live in the last 24 hours
Full-timeBoston, MA, USARemote

About the Job

Requirements

  • Around seven or more years in product marketing or a related role.
  • Experience marketing a broad or technical product whose value was not immediately clear from its features.
  • Experience developing positioning based on customer interviews, sales conversations, and product usage.
  • Experience choosing which market, customer problem, or use case a product should lead with.
  • Experience marketing enterprise software, ideally involving artificial intelligence, data, analytics, infrastructure, or knowledge management.
  • Experience creating messaging that worked in real sales conversations.
  • Experience developing customer stories, case studies, and other proof that helped buyers trust a product.
  • Ability to exercise good judgment when deciding what matters most to communicate about a product.
  • Ability to understand which customer problems are interesting versus which problems customers will pay to solve.
  • Ability to explain a complex product in direct language without making it sound generic.
  • Business judgment focused on attracting the right customers, moving sales conversations forward, and supporting adoption.
  • Ability to choose a clear starting point for a broad product without losing sight of the larger opportunity.
  • Ability to make informed decisions under uncertainty and improve them as new information becomes available.
  • Willingness to challenge company assumptions and change direction when supported by evidence.
  • Comfort setting strategy and performing the hands-on work needed to implement it.
  • Submit a short writing sample answering what the most technical product marketed was and where the line was drawn between explaining how it works and why it matters.

Responsibilities

  • Define how edisyl is described, including the problem it solves, the customers it serves, and what makes it different.
  • Identify the customer problems and use cases to lead with.
  • Determine how to explain the broader value of the product without making it sound vague or unfocused.
  • Speak regularly with customers, prospects, and the sales team to understand what creates interest and confusion.
  • Study successful and unsuccessful sales opportunities to improve messaging.
  • Identify the types of organizations and buyers most likely to need the product.
  • Turn complex product capabilities into clear business value.
  • Create and improve the website, sales deck, product pages, demonstrations, customer stories, and other core materials.
  • Give the sales team clear language, examples, and proof for customer conversations.
  • Build case studies and customer stories showing what the product does in practice.
  • Help plan how new features and products are introduced to customers and the market.
  • Work with product, sales, customer success, and leadership so the company communicates one consistent story.

Desired Qualifications

  • Experience introducing a new type of software to the market.
  • Experience with enterprise artificial intelligence, data infrastructure, or knowledge systems.
  • Experience marketing a broad platform through a focused first use case.
  • Experience helping a company move from founder-led selling to a repeatable sales process.
  • Experience in product, strategy, sales, or as a founder.

About the Company

Edisyl

Autonomous AI platform for unstructured data

Edisyl offers an autonomous intelligence platform that turns unstructured enterprise data (like CRM notes, emails, and document archives) into actionable AI-powered insights and embeds them into existing systems such as CRMs, Slack, and reports. The platform uses a three-layer setup: Forge, an agent framework with 250+ tools; Stratum, a semantic knowledge layer that encodes meaning from unstructured data; and Lattice, a fleet orchestration layer that manages AI agents and keeps outputs grounded and auditable. It differentiates itself through governance, traceability, and explainability, aiming for quasi-deterministic results that stay tied to true context rather than just producing probabilistic text. Its goal is to close the gap between syntactically correct AI outputs and factually accurate, auditable insights that fit into enterprise workflows.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2026

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