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Scribe

AI-powered SaaS generates step-by-step guides

Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Has 5 or more years in Solutions Engineering, Solutions Architecture, Technical Account Management, or a comparable pre-sales technical role at a high-growth SaaS company.
  • Has strong AI fluency, including understanding large language models and discussing LLM architecture, prompt design, model behavior, and AI output quality.
  • Can work directly with AI/ML Engineering teams, translate customer requirements into technical context, participate in solutioning conversations, and advocate for customer-specific technical needs while maintaining business outcomes.
  • Can understand and articulate Scribe's Workflow AI technical framework, including how workflow data is captured, processed, and surfaced as insights, and explain it to technical and non-technical audiences.
  • Understands enterprise workflows and operational processes and has worked with tools such as Salesforce, ServiceNow, and SAP.
  • Can build trust with executive stakeholders and end users and anchor technical conversations to relevant outcomes.
  • Is energized by ambiguity and defining a new function rather than entering a pre-established role.
  • Can build a business case, validate assumptions, and help customers see quantifiable impact.

Responsibilities

  • Own the technical layer of enterprise deals, partnering with Account Executives from discovery through close by running tailored Optimize demos, leading proof-of-concept planning sessions, and designing proofs of concept that connect Scribe's Workflow AI capabilities to measurable customer outcomes.
  • Build return-on-investment narratives grounded in customer workflow data, quantifying time saved and costs avoided.
  • Resolve technical and security questions during enterprise sales cycles, working with Engineering to address configuration issues and keep procurement moving.
  • Bring evidence-based customer feedback to the Product team, documenting what is working, what is not, and what customers need next.
  • Turn learnings into repeatable pre-sales assets and playbooks to make subsequent deals of a given type faster.
  • Maintain deep working knowledge of Scribe's platform and serve as a technical reference point for the go-to-market team.

Desired Qualifications

  • Experience with process mining, workflow intelligence, or operational analytics tools.
  • Experience working inside an AI/ML product team or deploying AI-powered products in an enterprise context.
  • Experience in a founding or first-of-its-kind role at a high-growth SaaS company.
  • Familiarity with enterprise AI security reviews, model governance frameworks, or responsible AI practices.

About the Company

Scribe

AI-powered SaaS generates step-by-step guides

ScribeHow provides an AI-powered platform for creating step-by-step how-to guides and training documents as a SaaS service. It automatically generates guides for web or desktop processes, reducing manual documentation effort and saving time for onboarding, SOPs, and training materials. The platform also auto-redacts sensitive information from screenshots to support data privacy compliance. The freemium model lets users start for free and upgrade for access to more features, appealing to both small businesses and large enterprises. ScribeHow differentiates itself through its AI-generated, scalable documentation workflow and built-in redaction for compliance, making it easier for teams to grow and standardize processes. The company's goal is to simplify and scale the creation of instructional content across organizations of all sizes.

Company size
201-500
Company stage
Series C
Total funding
$130M
Headquarters
San Francisco, CA
Founded
2019

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