Staff Software Engineer, AI & Strategy

Toast, Inc.

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $193,000–$309,000 / yr
Posted: 132 days ago
Closes: Sep 14, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $251k

$97k most similar roles pay here $332k

This role pays more than 99% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $251k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Toast, Inc.

Toast is a cloud-based restaurant management platform providing point-of-sale, payment processing, and operations software for the food service industry.

Toast, Inc. currently has 37 open roles on FindRole.

Listed pay typically runs $179,000–$286,500 across 36 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR · Staff Software Engineer, AI & Strategy

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Toast is seeking a Staff Software Engineer to join its AI & Strategy Engineering team, where you will play a pivotal role in developing innovative tools that enhance the efficiency of sales operations. This hands-on position involves architecting and coding high-performance backend services and ML pipelines, integrating custom quoting software with Salesforce, and building intelligent workflows using LLMs like LangChain for real-time recommendations to sales teams. You’ll leverage Java, Go, or Python to build complex distributed systems, design event-driven architectures, and ensure seamless data flow across disparate enterprise tools. Ideal candidates have extensive experience in backend engineering, applied AI/ML skills, and a passion for automating sales tech processes to remove manual friction and accelerate deal velocity.

Skills

Python Java Go AWS SageMaker Lambda SQS Salesforce LLMs LangChain RAG CI/CD Docker Kubernetes PostgreSQL Prometheus Grafana

What you'll do

Design and implement ML models to provide real-time recommendations for sales users.
Build backend services that integrate custom quoting software with Salesforce and data lakes.
Develop intelligent, agentic workflows using LLMs to automate account research and lead prioritization.
Solve complex synchronization challenges across the GTM stack to ensure system scalability and resilience.
Architect high-performance ML pipelines and backend systems for internal sales tech products.

What we're looking for

Extensive experience in backend languages (Java, Go, Python) with complex system building.
Practical AI/ML skills including LLMs and RAG architectures in production environments.
Expertise in designing event-driven systems and managing data flow across enterprise software.
Hands-on experience integrating custom quoting engines or CRM internals with Salesforce.
Deep understanding of AWS data services (SageMaker, Lambda, SQS) for infrastructure integration.

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