# Sales Engineer, Applied AI

**Company:** [Instabase](https://hotfix.jobs/companies/instabase)
**Location:** San Francisco, CA
**Role:** Sales Engineering
**Salary:** $157k – $175k/yr
**Experience:** 3+ years
**Skills:** Prompt Engineering, LLMs, Generative AI, RAG, Gpt, Gemini, Anthropic, Jupyter Notebook, AI/ML, Sales Engineering, Solutions Architecture, No-Code Ai, Workflow Orchestrator, Ai Hub
**Posted:** 2026-02-04

> Sales Engineer builds and demonstrates AI automation POCs using no-code platforms for enterprise customers, advising on prompt engineering, LLMs, and agentic workflows. Partners with AEs; requires 3+ years AI/ML experience and customer-facing technical expertise.

## Job Description

## What You’ll Do

- **Strategic Solutioning**: Partner with Account Executives to uncover high-value customer pains. Translate these into business requirements then into concrete AI automation designs using our platform.
- **Build to Win**: Design and configure compelling Proofs of Concept (POCs). Leverage our drag-and-drop workflow builders and collaboration AI toolsets to show customers their own data being processed in real-time.
- **Applied AI Advisory**: Act as a trusted advisor on “The Art of the Possible.” Educate customers on prompt engineering best practices, agentic workflows, and how to govern AI safely, without needing to discuss low-level model weights.
- **Champion the User Experience**: Push the boundaries of our no-code tools as the primary feedback loop to Product Management, helping refine the user interface and agent capabilities.

## What You Bring

- **Hybrid DNA**: Technical chops of a software engineer and communication skills of a consultant. Comfortable in a Jupyter Notebook as in a boardroom.
- **Applied AI Fluency**: 3+ years of experience building or deploying AI/ML solutions. Understand functional application of LLMs, **Prompt Engineering**, practicalities of **Generative AI**, **LLMs (GPT, Gemini, Anthropic)**, and **RAG (Retrieval-Augmented Generation)**.
- **Technical Storytelling**: Proven track record in a customer-facing role (Solutions Consultant, Sales Engineer, or Business Analyst). Excel at simplifying complex AI concepts for non-technical stakeholders.
- **Data Literacy**: Comfortable working with unstructured data (documents, emails, chats) and extracting structured value from it.
- **Sales Engineering Excellence**: Proven track record in a customer-facing technical role (**Sales Engineering**, **Solutions Architecture**, or **Forward Deployed Engineering**). Map technical features to business value.
- **Problem Solving**: Love unstructured problems. Visualize AI pipeline for messy datasets (invoices, medical records, financial statements).
- **Education**: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.

## Compensation

For US-based roles: Base salary range **$157,000 to $175,000** + commission, equity, and benefits. Actual pay may vary based on location, experience/skills, and impact.

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