Director, Customer Success Data Engineering at Toast

Toast, Inc.

Hybrid

Quick summary

Work type: Hybrid
Location: Boston, MA
Salary: $217,000–$347,000 / yr
Posted: today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k

This role $282k

$147k most similar roles pay here $368k

This role pays more than 93% of similar roles. Most pay $170,250–$229,442 — the shaded band above. At the midpoint, this role pays about $282k versus about $200k 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 36 open roles on FindRole.

Listed pay typically runs $190,000–$304,000 across 35 roles with salary data.

Most-posted roles

View all roles at Toast, Inc.

At a glance

TL;DR · Director, Customer Success Data Engineering at Toast

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As the Director of Customer Success Data Engineering at Toast in Boston, you will lead a small team to redesign and maintain the CS data model, ensuring it supports both traditional reporting and AI-driven insights. You’ll define how data is accessed and queried across various teams and systems, including the new contact center platform, while also developing pipelines for analytics and AI/ML use cases. Key responsibilities include leading data integration efforts, establishing robust testing and monitoring practices, and collaborating with cross-functional peers to ensure data governance standards are met. This role requires extensive experience in data modeling, modern data stack tools like Snowflake and dbt, and a strong track record of building reliable data architectures. Ideal candidates thrive in greenfield projects, have a background in Customer Success or SaaS environments, and possess excellent communication skills for translating complex data architecture decisions to non-technical stakeholders.

Skills

Snowflake dbt Airflow Kafka Kinesis Python SQL CI/CD Docker Prometheus Grafana Git AWS Azure Google Cloud Terraform PostgreSQL MongoDB Redis Linux Unix REST APIs JSON XML

What you'll do

Own the redesign of the unified Customer Success data model, connecting data across multiple teams and systems.
Define and execute AI data strategy for CS, making architectural decisions on data access methods for predictability.
Lead data integration for contact center platform migration, ensuring clean and well-modeled contact data from day one.
Design and optimize pipelines for analytics, reporting, and AI/ML-driven use cases with established testing practices.
Serve as the primary data architecture partner for CS leaders, translating business problems into data model decisions.

What we're looking for

10+ years of experience in data platform, modeling, or analytics engineering roles.
At least 3 years of leadership experience managing data teams and initiatives.
Experience designing AI-friendly data models with documentation as a priority.
Hands-on expertise with modern data stack tools like Snowflake and dbt.
Proven ability to diagnose and redesign systemic data quality issues comprehensively.
Strong cross-functional communication skills for translating technical decisions.

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