Log inSign up free
  • Home
  • Profile
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Portfolio
  • Builder
  • More tools
    • Hiring
  • Settings
All jobs
EREragon logo

Eragon

San Francisco

Member of Business Staff - Deployment Strategist.

FULL TIMEDATA & ML

About Eragon

Eragon is an Applied AI lab building an AI platform that powers self-improving agents for business enterprise. We’re working on memory, runtime, integrations, and product experience that make agents useful, reliable, and governable in real-world settings.

About the role

As a Deployment Strategist, you’ll work with customers to turn promising use cases into practical, measurable deployments. You’ll connect customer problems to product capabilities, help configure and validate workflows, and bring what you learn back to the Eragon team.

What you’ll do

  • Lead discovery to understand a customer’s processes, systems, goals, and constraints.

  • Identify workflows that are good candidates for agent-based automation.

  • Coordinate setup of relevant context, tools, and integrations with customer and Eragon teams.

  • Define success measures and help validate results against representative tasks.

  • Guide testing, rollout, user feedback, and adoption.

  • Document repeatable deployment patterns and surface product gaps or risks.

What we’re looking for

  • A track record of solving ambiguous, high-stakes problems in a fast-paced analytical environment—strategy, finance, operations, or another rigorous, deadline-driven setting.

  • Strong structured problem-solving: you can break a messy customer problem into a clear plan, and you know when the plan needs to change.

  • Sound commercial judgment—you read a business situation quickly and can reason about where value is created and what will actually move the needle.

  • Strong project management and stakeholder skills; comfortable driving business leaders and technical teams toward a decision.

  • Comfort learning new software, APIs, and enterprise workflows.

  • Experience with AI products, automation, or enterprise integrations is a plus.

Pay
Not stated
Where
San Francisco
Work
Not stated
Type
Full time
Posted
28 Oct, 2026
Apply on the original postingSign in to apply

Unverified board

more at Eragon.

28 Oct, 2026

Eragon

Member of Design Staff

EREragon logo
  • Full time
  • Design

San Francisco

Full time

Details
28 Oct, 2026

Eragon

Member of Technical Staff - Product

EREragon logo
  • Full time
  • Staff level
  • Engineering

San Francisco

Full time

Details
28 Oct, 2026

Eragon

Member of Business Staff - Growth

EREragon logo
  • Full time
  • Sales & Marketing

San Francisco

Full time

Details

similar roles.

15 Oct, 2026

Cargo

GTM Engineer- AI B2B Lead Generation & Automation

CACargo logo
  • Contract
  • Remote
  • Data & ML

Remote, Latin America

Remote

Details
21 Oct, 2026

Faire

Brand Success Manager

FAFaire logo
  • Data & ML

$112k–154k/yr

New York City, NY +1

Details
26 Oct, 2026

Cloudflare

Model Operations Lead, AI Gateway

CLCloudflare logo
  • Senior level
  • On-site
  • Data & ML

In-Office

On-site

Details
15 Sep, 2026

Taketwo

Data Engineer

TATaketwo logo
  • Data & ML

Bangalore +2

Salary not listed

Details
4 Jul, 2026

Mindbeam

Machine Learning Engineer - Pre Training

MIMindbeam logo
  • Full time
  • Remote
  • Data & ML

$150k–190k/yr

United States

Details
29 Oct, 2026

Bdx

Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring

BDBdx logo
  • Staff level
  • Data & ML

USA CA - Irvine Laguna Canyon

Salary not listed

Details