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Sable

AI employee enabling real-time customer interactions

Engagement Lead

Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2–3 years of experience at a high-bar organization, such as an MBB firm, Palantir, a top AI company, high finance, or a company the candidate founded; the posting emphasizes accomplishments over tenure.
  • Experience presenting to C-level executives, handling their challenges, and holding the room.
  • Experience scoping a project with a written deliverable and success metric and being accountable for it.
  • Experience working in or around software or AI, with fluency to understand how Aidan is built, analyze its performance, and communicate credibly with customer engineers and operations leads.

Responsibilities

  • Lead initial conversations with prospective partner companies and identify customers where Aidan can deliver the greatest impact.
  • Scope new deployments by defining a use case, metrics to move, and expected impact; own continued deployment and delivery of customer results.
  • Own executive relationships and the business case during deployment while the Deployment Strategist manages delivery.
  • Expand engagements by identifying additional teams and use cases, evaluating time-value tradeoffs, and presenting options for customer decisions.
  • Decline use cases that will not add customer value and requirements that will not advance customer goals.
  • Build and develop relationships that lead to further deployments, map target companies, use founders', investors', and customers' networks for warm introductions, engage with relevant leaders, and turn wins into case studies.

Desired Qualifications

  • Understanding how sales, marketing, and growth teams measure performance, since Aidan's KPIs come from those functions.

About the Company

Sable

AI employee enabling real-time customer interactions

Sable builds Aidan, an AI employee that handles personalized customer interactions using real-time voice, computer vision, and the ability to navigate a live product interface. Aidan operates inside a business workflow by watching the screen, understanding user actions, speaking and listening in real time, and guiding customers through demos, onboarding, or training without heavy setup. It can be deployed with minimal initial integrations and includes enterprise security and data-handling controls. The goal is to automate and scale personalized customer interactions so product demonstrations, onboarding, and support are faster, clearer, and consistent across customers.

Company size
11-50
Company stage
Early VC
Total funding
$45M
Headquarters
San Francisco, CA
Founded
2025

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