Senior Associate, GTM Engineering - Sales Analytics
Listed on 2026-01-01
-
IT/Tech
Data Analyst, Data Science Manager
Senior Associate, GTM Engineering - Sales Analytics
Join to apply for the Senior Associate, GTM Engineering - Sales Analytics role at Door Dash
About The TeamThe Sales Analytics team at Door Dash 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.
AboutThe Role
We’re looking for a Senior Associate, GTM Engineer 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, building end‑to‑end workflows while shaping frameworks that guide GTM automation.
Partner directly with stakeholders to uncover bottlenecks, scope priorities, and deliver solutions that scale across teams. Report to the Senior Manager, GTM Innovation on the Sales Analytics Team.
- 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, Rev Ops, Product, and Data Engineering to align priorities, coordinate launches, and drive adoption
- You’re an experienced builder – You have 2‑4+ 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
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.
Talk to your recruiter for more information.
- 401(k) plan with employer matching
- 16 weeks of paid parental leave
- Wellness benefits
- Commuter benefits match
- Paid time off and paid sick leave in compliance with applicable laws
- Medical, dental, and vision benefits
- 11 paid holidays
- Disability and basic life insurance
- Family‑forming assistance
- Mental health program
- For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
$88,400—$130,000 USD
EEO StatementStatement of Non‑Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. We value a diverse workforce and encourage applicants from all backgrounds to apply.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).