---
title: 'Applied AI Engineer, Generalist at Sable'
canonical: 'https://feeny.ai/job/applied-ai-engineer-generalist-sable-san-francisco-ftbepg9ss6j2'
type: 'job'
last_seen: '2026-09-16'
---

# Applied AI Engineer, Generalist at Sable

- **Company:** Sable
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-16
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/sable/592b59d3-828d-4b2d-b925-64262ba0728e

## Job description

## About Sable

Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call.

## The role

You build Aidan himself. You empower Aidan to orchestrate his abilities across four modalities in realtime: voice (two-way, multilingual conversation), hands (live browser use inside real products), eyes (proactive vision on the user's screen), the Brain (a self-improving context graph), and the verifiers (how we can keep evaluating Aidan's performance in real scenarios). Making that feel human is one of the hardest engineering problems in AI, and our engineering team's unique ability to solve it is what makes Sable special. You are an individual contributor first. You can also take a project that spans several engineers, break it into pieces, keep it on track, and land it. That is coordination, not management. We are hiring someone who ships fast and makes the people around them ship.

## What you'll do

- Own large changes to the agent runtime end to end: design, implementation, evaluation, rollout
- Run multi-person projects: write the plan, split the work, review the pieces, keep the whole thing coherent
- Raise the bar on how the team works: review quality, test discipline, how we verify a change before it ships

## Who you are

- Two or more years building software, with a stretch owning a system that mattered in production
- Strong generalist: backend and systems by default, comfortable in frontend, infra, or ML code when the problem lives there
- You have coordinated projects across several people and enjoyed it
- Comfortable in a small team where you own problems end to end and communicate fluidly
- Bonus: Someone with deep experience in at least one of: realtime systems (voice/streaming/media), LLM agents and orchestration, browser/computer use, and applied ML such as multimodal evals
- Bonus: previous experience at a leading AI company or institution

## About Sable

## Company Overview
- **One-liner**: Sable creates multimodal digital-human AI agents that can see, click, and explain—automating go-to-market workflows for enterprise organizations.
- **Entity Type**: Private
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2019
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Artificial Intelligence / Enterprise AI Agents
- **Target customers**: B2B, Large Enterprises
- **Mission or purpose statement**: Sable’s mission is to let your product speak for itself by deploying digital-human workers that learn a company’s product and business context to guide customers through any stage of the sales process.

## Products & Services
- **Sable Platform**: A multimodal orchestration layer that combines vision, voice, and browser automation with deep business context. The AI agent can natively operate on a customer’s product or within the “Sable Canvas” environment to present slide decks and provide information. It requires zero integration—Sable learns the product, business context, and UI within days without APIs, data schemas, or manual configuration.
- **Key capabilities include**:
  - Real-time screen comprehension for pixel-level guidance
  - Autonomous navigation that adapts with every user click
  - Human-in-the-loop escalation
  - Full-stack connectivity and continuous optimization through customer interactions

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Not publicly available (private company; funding details not disclosed)
- **Notable Investors/Partners**: Not publicly available
- **Growth Signals**: The company is actively hiring across multiple roles (Founding Account Executive, Growth, Forward Deployed AI Engineer, AI Engineer, Product & UX Designer), indicating scaling operations. They serve “the world’s largest organizations” as enterprise customers.

## Competitive Advantages
- **Zero-integration deployment**: Sable can be set up in days without any prior integration or engineering effort—no APIs, data schemas, or manual configuration required.
- **Multimodal digital-human architecture**: Combines voice, video, and browser navigation with business context, enabling the agent to see exactly what users see and take action.
- **Enterprise-grade security**: SOC 2 Type II certified, GDPR compliant, and aligned with ISO 42001 and ISO 27001. Sable never trains on user data.
- **Forward-deployed engineering model**: Dedicated sales engineers handle setup and work closely with customer teams to strategically select the documents and business context needed.

## Strategic Focus
- **Primary focus**: Automating go-to-market workflows for large enterprises, including inbound response, channel partner enablement, product demos, onboarding, accreditation, guidance, and support.
- **Product expansion**: Continuing to build out the multimodal orchestration layer to handle nearly any GTM workflow, with a focus on deep, adaptive intelligence and seamless user adaptation.

## Why Work Here
- **Culture**: Sable is an AI company redefining the future of work, specifically focusing on products that transform Go-To-Market strategies. The team is composed of forward-deployed engineers who collaborate closely with customers.
- **Work model**: Hybrid workspace—employees engage in a combination of remote and on-site work. The San Francisco office is in-person.
- **Engineering culture**: Emphasis on building cutting-edge multimodal AI agents with real-time screen understanding, autonomous navigation, and deep business context learning. Engineers work directly with enterprise customers to deploy solutions.
- **Perks**: Not explicitly detailed, but the company’s focus on security, privacy, and trust (SOC 2, GDPR, ISO certifications) suggests a mature, compliance-minded engineering environment.

## Sources
1. [withsable.com](https://withsable.com/)
2. [jobs.ashbyhq.com/sable](https://jobs.ashbyhq.com/sable)
3. [builtin.com/company/sable](https://builtin.com/company/sable)
4. [app.withsable.com/privacy-policy](https://app.withsable.com/privacy-policy)

## Other roles at Sable

- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-sable-san-francisco-j9ygdbhtarkr) — San Francisco, CA
- [Applied AI Engineer, Evals](https://feeny.ai/job/applied-ai-engineer-evals-sable-san-francisco-jcmmrprm58ke) — San Francisco, CA
- [Founding Designer](https://feeny.ai/job/founding-designer-sable-san-francisco-j71btwmr3v2m) — San Francisco, CA
- [Founding Account Executive](https://feeny.ai/job/founding-account-executive-sable-san-francisco-t80djgpbh92p) — San Francisco, CA
- [Platform Engineer](https://feeny.ai/job/platform-engineer-sable-san-francisco-j2byw59twrmb) — San Francisco, CA
- [Deployment Strategist](https://feeny.ai/job/deployment-strategist-sable-san-francisco-7amnwh9cwage) — San Francisco, CA