Research Engineer at Sable (San Francisco, CA)

Sable· San Francisco, CA·1d ago

Role details

Work type

Onsite

Employment

Full-Time

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.

WHAT YOU'LL DO

Improve agent runtime across topics like voice latency, perception, personalization, action planning for live browser use
Build out the Skills system: turning screen recordings and human-led demos into reliable, durable knowledge of how to operate a customer's UI
Advance perception: improve Aidan's ability to see and understand the user's screen in realtime and use those visuals to decide when and how to intervene
Strengthen the improvement engine: study Aidan's interactions to determine where he took a suboptimal action, what he could have done better, and how he can use those moments to learn and improve automatically

WHO YOU ARE

Engineer 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
Comfortable in a small team where you own problems end to end and communicate fluidly
Preferred: previous experience at a leading AI company or institution

Why work at Sable

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.

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.

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