DoorDash
Manager, GTM Engineering - Sales Analytics
DoorDash, San Francisco, California, United States, 94199
Overview
Manager, GTM Engineering - Sales Analytics. Join to apply for the Manager, GTM Engineering - Sales Analytics role at
DoorDash . 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. This role is part of the new GTM Innovation Pod and will design and launch high-impact automation and AI solutions that change how Sales operates. 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. This role blends strategic systems thinking with hands-on engineering, where you’ll build end-to-end workflows while also shaping the frameworks that guide how GTM automates. 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 – You have 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 We expect this position to be filled by 12/5/2025. Compensation
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 provides a comprehensive benefits package to all regular employees, including a 401(k) plan with employer matching, paid parental leave, health benefits, and more. See Below For Paid Time Off Details 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 details are provided by policy. National base pay range for this position in the United States is $125,800—$185,000 USD. About DoorDash
DoorDash is a technology and logistics company dedicated to empowering local economies. We are growing rapidly and aim to support employees’ happiness, health, and well-being through comprehensive benefits and perks. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams and strive to prevent discrimination or harassment based on protected characteristics. We encourage applicants from all backgrounds to apply. If you need accommodations, please inform your recruiting contact upon initial connection. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at DoorDash. Get notified about new Engineering Manager jobs in San Francisco, CA.
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Manager, GTM Engineering - Sales Analytics. Join to apply for the Manager, GTM Engineering - Sales Analytics role at
DoorDash . 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. This role is part of the new GTM Innovation Pod and will design and launch high-impact automation and AI solutions that change how Sales operates. 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. This role blends strategic systems thinking with hands-on engineering, where you’ll build end-to-end workflows while also shaping the frameworks that guide how GTM automates. 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 – You have 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 We expect this position to be filled by 12/5/2025. Compensation
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 provides a comprehensive benefits package to all regular employees, including a 401(k) plan with employer matching, paid parental leave, health benefits, and more. See Below For Paid Time Off Details 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 details are provided by policy. National base pay range for this position in the United States is $125,800—$185,000 USD. About DoorDash
DoorDash is a technology and logistics company dedicated to empowering local economies. We are growing rapidly and aim to support employees’ happiness, health, and well-being through comprehensive benefits and perks. Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams and strive to prevent discrimination or harassment based on protected characteristics. We encourage applicants from all backgrounds to apply. If you need accommodations, please inform your recruiting contact upon initial connection. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at DoorDash. Get notified about new Engineering Manager jobs in San Francisco, CA.
#J-18808-Ljbffr