DoorDash US

1 month ago

Manager, Data & Analytics, In-Store

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead the SevenRooms D&A team (6-8 analysts/BI engineers) to own data products, AI systems, and reporting infrastructure across GTM, Product, Finance, and Partnerships. Drive end-to-end data roadmap, partner with executives, translate business problems into technical scope, and build AI-powered GTM solutions while fostering a culture of high performance and scalable data technology.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
•Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team’s investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
•Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
•Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
•Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean 'Build vs. Run' operating model and unlock the next generation of AI-powered GTM products.

Pay and Benefits

Salary: USD 141,400 - 208,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeavePar ParentalMedicalDentalVisionDisabilityLife InsuranceWellness Stipend

Key Requirements

•6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
•2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
•Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines).
•Ability to partner with executive stakeholders across functions, translating ambiguous business problems into scoped technical work and pushing back when scope or data readiness is the real blocker.
•Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows) and the ability to mentor a team building production AI systems.

Experience:6+ yearsSaaSB2BData analytics

Skills:SQLDBTLookerSalesforceAPIsGenAIML

Languages:English

Tech Stack:SQLDBTSnowflakeBigQueryLookerSalesforceAPIsGenAILLM

Company Brief

DoorDash US

On-demand logistics platform connecting consumers with local restaurants, grocers, and retailers for food delivery, pickup, and convenience services. Operates a marketplace and last-mile delivery network while offering tools and analytics for merchants and couriers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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DoorDash US

1 month ago

Manager, Data & Analytics, In-Store

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.
•Own the D&A roadmap across GTM, Product, Finance, and Partnerships, balancing the team’s investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.
•Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.
•Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.
•Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean 'Build vs. Run' operating model and unlock the next generation of AI-powered GTM products.

Pay and Benefits

Salary: USD 141,400 - 208,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeavePar ParentalMedicalDentalVisionDisabilityLife InsuranceWellness Stipend

Key Requirements

•6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).
•2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.
•Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines).
•Ability to partner with executive stakeholders across functions, translating ambiguous business problems into scoped technical work and pushing back when scope or data readiness is the real blocker.
•Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows) and the ability to mentor a team building production AI systems.

Experience:6+ yearsSaaSB2BData analytics

Skills:SQLDBTLookerSalesforceAPIsGenAIML

Languages:English

Tech Stack:SQLDBTSnowflakeBigQueryLookerSalesforceAPIsGenAILLM

Company Brief

DoorDash US

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn