Business Intelligence Engineer (GTM), In-Store Data & Analytics

DoorDash, Inc

Quick summary

Work type: On-site
Location: New York, NY
Salary: $98,600–$145,000 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k

This role $122k

$85k most similar roles pay here $225k

This role pays less than 89% of similar roles. Most pay $131,975–$211,200 — the shaded band above. At the midpoint, this role pays about $122k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About DoorDash, Inc

DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.

DoorDash, Inc currently has 243 open roles on FindRole.

Listed pay typically runs $130,600–$192,000 across 166 roles with salary data.

Most-posted roles

View all roles at DoorDash, Inc

At a glance

TL;DR · Business Intelligence Engineer (GTM), In-Store Data & Analytics

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As a Business Intelligence (BI) GTM Engineer at SevenRooms' Data & Analytics team in New York, you will join an innovative group dedicated to enhancing go-to-market strategies through AI and data-driven solutions. Your primary responsibility involves designing and building production-level GenAI agents and automations on Google Cloud Platform, integrating with Salesforce and other key tools like Gainsight and Outreach, to streamline workflows for the Pre-Sales and Post-Sales teams. You will work closely with frontline sales representatives and customer success managers to co-design solutions that drive real adoption and measurable ROI. Key skills include hands-on experience with LLM-powered applications, proficiency in Python and SQL, familiarity with modern data stack tools like DBT and Fivetran, and comfort using GCP services such as BigQuery and Cloud Functions. This role requires a strong ability to translate business problems into technical scopes and deliver solutions efficiently within weeks, contributing significantly to the team’s AI developer infrastructure and next-generation GTM products.

Skills

Python SQL Terraform BigQuery Cloud Functions Compute Engine Secret Manager DBT Fivetran REST APIs Salesforce APIs Google Cloud Platform VertexAI CI/CD

What you'll do

Design and build production AI agents and automations on Google Cloud Platform.
Translate narrow GTM problems into shipped solutions using APIs and instrumenting ROI indicators.
Partner with frontline reps to co-design, iterate, and drive real adoption of AI solutions.
Contribute to the team's AI developer infrastructure to enhance deployment speed for all engineers.
Establish technical patterns and reusable components for future GTM AI product development.
Build production software systems on Google Cloud Platform that directly impact AE, AM, and CSM workflows.

What we're looking for

2+ years experience building production software or AI systems in a GTM, RevOps, or analytics engineering role.
Hands-on deployment of LLM-powered applications with prompt engineering and integration patterns.
Proficiency in Python, SQL, REST APIs, Salesforce APIs, GCP tools (BigQuery, Cloud Functions), and Terraform.
Ability to scope ambiguous business problems, ship v1 quickly, and iterate based on user feedback.
Comfort extracting requirements from non-technical SMEs across Sales, CS, RevOps, and Finance.
Strong written and verbal communication skills for partnering with non-technical GTM stakeholders.
Ambition and bias toward action in fast-moving environments.