DoorDash
Manager, GTM Engineering - Sales Analytics
DoorDash, Los Angeles, California, United States, 90079
Overview
Manager, GTM Engineering - Sales Analytics Join to apply for the Manager, GTM Engineering - Sales Analytics role at DoorDash. About The Team
The Sales Analytics team at DoorDash transforms raw data and manual workflows into trusted, automated systems that power growth and execution. We partner with Sales, S&O, Product, and Engineering to reduce friction, streamline processes, and equip sellers with reliable insights to help merchants grow their business. As part of our new GTM Innovation Pod, this role will design and launch high-impact automation and AI solutions that change how Sales operates. By replacing manual work with scalable workflows and embedding durable systems, the Pod enables predictable execution, frees seller capacity, and builds a faster, cleaner, and more resilient go-to-market engine. About The Role
We’re looking for a Manager, GTM Engineering to reimagine and accelerate key processes that power Sales execution. You’ll lead the design and delivery of automation and AI-driven solutions that remove friction, improve data reliability, and help sellers connect the right merchants with the right opportunities. You’ll blend strategic systems thinking with hands-on engineering, building end-to-end workflows while shaping the frameworks that guide GTM automation. You’ll partner directly with stakeholders to uncover bottlenecks, scope priorities, and deliver solutions that scale across teams. You will report to the Senior Manager, GTM Innovation on the Sales Analytics Team. You’re Excited About This Opportunity Because You Will…
Automate at scale – Replace manual, repetitive sales processes with reliable, fast, and transparent workflows Establish durable frameworks – Build the automation and AI frameworks that enable consistent, scalable execution across the Sales and Mx organizations Improve merchant outcomes – Build tools that ensure the right merchants connect with the right sellers, boosting coverage, conversion, and merchant revenue Drive visibility and impact – Identify the highest-impact friction points in GTM execution, scope and deliver solutions, and track improvements in efficiency, accuracy, and reliability Partner cross-functionally – Collaborate with Sales, RevOps, Product, and Data Engineering to align priorities, coordinate launches, and drive adoption We’re Excited About You Because…
You’re an experienced builder – 6+ years of experience in analytics engineering, data science, or a similar role, with advanced SQL and Python skills You automate with purpose – You’ve applied automation and AI frameworks to business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity You think in systems – You bring a balance of technical depth, business acumen, and structured thinking, translating complex Sales and Mx challenges into scalable, durable solutions You understand our data backbone – You’re familiar with Salesforce and CRM data structures and how they power Sales execution You lead through ambiguity – You’re equally comfortable building hands-on or setting direction for cross-functional partners to deliver measurable business impact Compensation & Benefits
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. DoorDash offers a comprehensive benefits package to all regular employees, including medical, dental, and vision benefits, a 401(k) plan with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws, 11 paid holidays, disability and basic life insurance, and mental health programs. See below for PTO details and more information on benefits. For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrual and paid sick time according to hours worked. National base pay range for this position within the United States: $125,800—$185,000 USD Additional information: This role may be eligible for equity grants. See the recruiter for details. About DoorDash
DoorDash empowers local economies with technology and logistics that connect Dashers, merchants, and consumers. We’re a growing company offering opportunities to learn, iterate, and own your career while supporting employees’ well-being through comprehensive benefits and perks. Our Commitment to Diversity and Inclusion
We are committed to building a more inclusive community and encourage applicants from diverse backgrounds to apply. We do not discriminate on any protected characteristic and value the perspectives that a diverse workforce brings. If you need any accommodations, please inform your recruiting contact.
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Manager, GTM Engineering - Sales Analytics Join to apply for the Manager, GTM Engineering - Sales Analytics role at DoorDash. About The Team
The Sales Analytics team at DoorDash transforms raw data and manual workflows into trusted, automated systems that power growth and execution. We partner with Sales, S&O, Product, and Engineering to reduce friction, streamline processes, and equip sellers with reliable insights to help merchants grow their business. As part of our new GTM Innovation Pod, this role will design and launch high-impact automation and AI solutions that change how Sales operates. By replacing manual work with scalable workflows and embedding durable systems, the Pod enables predictable execution, frees seller capacity, and builds a faster, cleaner, and more resilient go-to-market engine. About The Role
We’re looking for a Manager, GTM Engineering to reimagine and accelerate key processes that power Sales execution. You’ll lead the design and delivery of automation and AI-driven solutions that remove friction, improve data reliability, and help sellers connect the right merchants with the right opportunities. You’ll blend strategic systems thinking with hands-on engineering, building end-to-end workflows while shaping the frameworks that guide GTM automation. You’ll partner directly with stakeholders to uncover bottlenecks, scope priorities, and deliver solutions that scale across teams. You will report to the Senior Manager, GTM Innovation on the Sales Analytics Team. You’re Excited About This Opportunity Because You Will…
Automate at scale – Replace manual, repetitive sales processes with reliable, fast, and transparent workflows Establish durable frameworks – Build the automation and AI frameworks that enable consistent, scalable execution across the Sales and Mx organizations Improve merchant outcomes – Build tools that ensure the right merchants connect with the right sellers, boosting coverage, conversion, and merchant revenue Drive visibility and impact – Identify the highest-impact friction points in GTM execution, scope and deliver solutions, and track improvements in efficiency, accuracy, and reliability Partner cross-functionally – Collaborate with Sales, RevOps, Product, and Data Engineering to align priorities, coordinate launches, and drive adoption We’re Excited About You Because…
You’re an experienced builder – 6+ years of experience in analytics engineering, data science, or a similar role, with advanced SQL and Python skills You automate with purpose – You’ve applied automation and AI frameworks to business problems and deployed solutions that meaningfully improved accuracy, efficiency, and productivity You think in systems – You bring a balance of technical depth, business acumen, and structured thinking, translating complex Sales and Mx challenges into scalable, durable solutions You understand our data backbone – You’re familiar with Salesforce and CRM data structures and how they power Sales execution You lead through ambiguity – You’re equally comfortable building hands-on or setting direction for cross-functional partners to deliver measurable business impact Compensation & Benefits
The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. DoorDash offers a comprehensive benefits package to all regular employees, including medical, dental, and vision benefits, a 401(k) plan with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws, 11 paid holidays, disability and basic life insurance, and mental health programs. See below for PTO details and more information on benefits. For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrual and paid sick time according to hours worked. National base pay range for this position within the United States: $125,800—$185,000 USD Additional information: This role may be eligible for equity grants. See the recruiter for details. About DoorDash
DoorDash empowers local economies with technology and logistics that connect Dashers, merchants, and consumers. We’re a growing company offering opportunities to learn, iterate, and own your career while supporting employees’ well-being through comprehensive benefits and perks. Our Commitment to Diversity and Inclusion
We are committed to building a more inclusive community and encourage applicants from diverse backgrounds to apply. We do not discriminate on any protected characteristic and value the perspectives that a diverse workforce brings. If you need any accommodations, please inform your recruiting contact.
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