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StackAI

Low-code platform to build AI workflows

AI Strategist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time$134k - $227k /yr

About the Job

Requirements

  • Deep empathy for users and the ability to connect technical capabilities with business value.
  • Comfort engaging technical stakeholders and senior executives and translating between them.
  • Experience delivering solutions in complex organizations and comfort operating in a startup environment.
  • Familiarity with artificial intelligence and machine-learning concepts and tools.
  • Bias for action, comfort with ambiguity, and ability to create structure where none exists.
  • Strong conviction in artificial intelligence’s transformative potential and excitement about making it accessible.

Responsibilities

  • Partner with business leaders and technical teams to scope high-value artificial intelligence use cases and align on success metrics.
  • Lead customer engagements from ideation through delivery, ensuring long-term adoption and measurable business outcomes.
  • Identify opportunities where artificial intelligence workflows can deliver return on investment, efficiency, and competitive advantage.
  • Train and empower customer teams to build and iterate on AI workflows using Stack AI’s no-code platform.
  • Drive onboarding and adoption so solutions become integral to customers’ day-to-day operations.
  • Surface customer needs, patterns, and insights to inform the product roadmap.
  • Contribute to playbooks, case studies, and best practices that help scale impact across industries.
  • Help lead relationships with Portuguese-speaking customers.

Desired Qualifications

  • Experience with Python, SQL, or data analysis.
  • Experience leading cross-functional initiatives or teams.

About the Company

StackAI

Low-code platform to build AI workflows

Stack AI provides an enterprise-focused, no-code platform for building and deploying custom AI agents and workflow automations. Its product uses a visual drag-and-drop interface to connect data sources and large language models with enterprise systems, enabling users to create knowledge assistants, contract analysis, RFP responses, due diligence, and document data extraction without deep coding. The platform differentiates itself with enterprise deployment options (including on-premise), compliance (SOC 2, GDPR, HIPAA), and tiered pricing, aimed at rapid deployment to boost back-office productivity. Its goal is to help organizations maximize model accuracy and reduce deployment times by bridging corporate data with LLM capabilities to automate business processes.

Company size
51-200
Company stage
Series A
Total funding
$19.1M
Headquarters
San Francisco, CA
Founded
2021

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