---
title: 'Product Engineer at Sable'
canonical: 'https://feeny.ai/job/product-engineer-sable-san-francisco-hj1wza6mvy8x'
type: 'job'
last_seen: '2026-09-09'
---

# Product Engineer at Sable

- **Company:** Sable
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-16
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/sable/8725ab5e-473d-491d-b43a-60cb01bdc6f9

## 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

We need someone who can own the customer-facing side of our platform: figuring out what to build based on feedback from customers and our deployments team, building it, and pushing it to production. The next phase of Sable's growth involves making the platform as intuitive to use as possible: giving customers a simple and straightforward way to create and deploy their AI employees. That takes more than a clean UI: it takes someone who can empathize with the problems of the non-technical end-users of these tools, translate a one-line founder directive or a messy customer request into a scoped, shippable feature, and own product decisions. You'll define, design, and build the solutions our customers and deployments teams need.

## WHAT YOU'LL DO

- Design and improve upon features within the platform: Brain editing, journey building, session analytics/insights, AI employee configuration
- Talk to customers alongside our deployment team, identify where they get stuck, and turn those observations into a prioritized roadmap of what to build next
- Test your work with real customers alongside our deployment team and iterate fast
- Establish Sable's product development operating model and quality bar as the team grows around you

## WHO YOU ARE

- An engineer with experience building leading AI products designed with the user journey in mind
- Strong product instincts; you can take one line of guidance or feedback and return a production-ready, polished surface or plan for new user workflow
- Experience designing tools for non-technical operators (most end users are marketing, sales and CS teams, not engineers). Comfortable working with our deployments team to scope and define solutions
- You have a point of view on what is needed to make self-serve products succeed (e.g., easy onboarding, progressive disclosure, and knowing what to leave out as well as what to put in)

## 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

- [Founding Designer](https://feeny.ai/job/founding-designer-sable-san-francisco-j71btwmr3v2m) — San Francisco, CA
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- [Research Engineer](https://feeny.ai/job/research-engineer-sable-san-francisco-ftbepg9ss6j2) — San Francisco, CA
- [Growth](https://feeny.ai/job/growth-sable-san-francisco-7amnwh9cwage) — San Francisco, CA
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