The future of data lies in decentralization, and the concept of a data mesh is the proven approach for implementing this at Enterprise scale. We’re here to make it a reality. Nextdata OS is a data-mesh-native platform built to meet the challenge of decentralizing data at scale. We are inventing a new way for developers to work with data and share it responsibly via data product containers.

Our vision is to build a world where AI/ML and analytics are powered by decentralized, responsible, and equitable data ownership, across boundaries of organizations, technology, and most importantly boundaries of trust.

Our purpose is to change the experience of creating, sharing, discovering, and using data forever, to be connected, fast, and fair based on data mesh principles.

Our technology is designed to empower data developers, users and owners with a delightful experience where data products are a first-class primitive, with trust built-in.

We are here to accept the reality that the world of data is complex and messy; data models are out-of-date the moment they are created; data is owned across trust boundaries; data is stored on different platforms; data is used in many different modes and most importantly data can't protect itself. We recognize that past approaches to tackle these complexities with centralized data collection, modeling and governance are ineffective at best and pathologically unfair at worst. Our mission is to reimagine the world of data with you.

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We’re looking for a Fractional Account Executive to help us accelerate our go-to-market motion. This is a part-time (20-hour/week) role ideal for a hands-on, process-driven AE who thrives in early-stage environments and can own deals from demo through close. You’ll work closely with the CEO, GTM, and Engineering team to manage opportunities, guide POCs and pilots, and ensure deals progress smoothly.

This role does not require hands-on technical work, but it does require curiosity, structure, and the ability to connect business outcomes to technical solutions.

What You’ll Do

Pipeline & Deal Management

• Own and update all deal records daily, maintaining clean stages, next steps, and forecasts.
• Build and manage a clear pipeline view with weighted deal values and stage coverage.
• Map key stakeholders and identify blockers early.
• Document win/loss insights and ensure no stale opportunities.

Demos & Evaluations

• Lead tailored demos with support from the Solutions Engineering team.
• Customize content by buyer context (AI readiness, maturity, domain focus).
• Track demo-to-POC conversion rates and ensure collateral stays current.

POCs & Pilots

• Draft clear POC proposals with success metrics and timelines.
• Manage cadence and communication with internal and external stakeholders.
• Summarize outcomes and translate successful pilots into commercial contracts.

Contracting & Reporting

• Support pricing, redlines, and deal closure with legal and leadership.
• Track KPIs: conversion rates, cycle time, win rate, deal size.
• Share concise weekly updates and help refine sales playbooks and collateral.

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• 5+ years of B2B enterprise software sales experience, ideally in data management, data  infrastructure, or similar
• Proven track record managing full sales cycles from demo to close.
• Excellent communicator who can translate technical ideas into business value.
• Comfortable operating in ambiguous, high-velocity startup environments.
• Highly organized with strong follow-through—every meeting ends with clear next steps.
• Collaborative and humble: you work well with Product, Engineering, and Marketing partners.
• Experienced in HubSpot or similar CRM tools; disciplined about deal hygiene.
• Passionate about emerging data technologies, even if you’re not hands-on technical.

• Senior AE–level compensation with a weekly rate of $2,000+ plus commission/OTE tied to closed deals. Rates are negotiable and determined by experience level
• Flexible, part-time schedule (20 hours per week) with autonomy over working hours.
• Remote-first work model (must be within two hours of Pacific Time)

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