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AI & Automation Partner, GTM

DoorDash - New York, NY

Engineer Verified Jul 12, 2026 Source: doordash.com

This role is part of the Internal AI Job Board, a curated list of jobs for teams building or operating internal AI systems. Follow the original role page for the employer description, requirements, and application flow.

Compensation: $98,600 - $145,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers

Responsibilities

  • We're hiring an AI & Automation Partner, GTM to help build the AI-powered workflows and proprietary internal tools that help SevenRooms' Pre-Sales and Post-Sales teams spend more time selling and less time on administrative work. You will design, build, and ship production GenAI agents and automations on top of Salesforce, Gainsight, Outreach, Gong, and our Google Cloud infrastructure — turning narrow, well-defined GTM problems into production systems within weeks, not quarters. In your first 90 days, you will deliver two to three high-leverage AI workflows from the prioritized roadmap (examples: automated pre-call research, deal intelligence summaries, P&P Wizard automation) and help define the team's operating model, while contributing to our shared AI developer infrastructure that makes the entire team faster.
  • You will report into the Head of GTM Integration on the GTM Integrations & AI Infrastructure team in our DashOS organization.

Qualifications

  • 2+ years of experience building production software, data, or AI systems - ideally inside a GTM, RevOps, or analytics engineering function at a B2B SaaS company.
  • Hands-on experience deploying LLM-powered applications in production, including prompt engineering, evaluation, and the integration patterns required to ground models in business data.
  • Familiarity with modern data stack tooling - particularly DBT and Fivetran - and an understanding of how clean, well-modeled data enables reliable AI outputs.
  • Strong proficiency in Python and SQL, with working knowledge of REST APIs and Salesforce APIs (SFDC), comfort with GCP (BigQuery, Cloud Functions, Compute Engine, Secret Manager), and experience with infrastructure-as-code tooling such as Terraform.
  • Demonstrated ability to scope an ambiguous business problem, ship a working v1 quickly, and iterate based on user feedback - not just deliver requirements as written.
  • Comfortable operating in environments where you’re the builder but not always the one defining what to build - able to extract requirements from non-technical SMEs across Sales, CS, RevOps, and Finance, scope work collaboratively, and drive projects to completion.
  • Strong written and verbal communication skills, including the ability to partner directly with non-technical GTM stakeholders and translate business problems into technical scopes.
  • Product-minded approach to the work — you identify operational friction, prioritize the highest-impact opportunities, and measure success by the business outcomes you deliver, not just technical execution.
  • Ambitious and biased toward action - you thrive in fast-moving environments, prefer shipping over speccing, and are energized by seeing your work in the hands of real users.
  • Note for applicants: Strong candidates often come from Business Systems, Analytics Engineering, RevOps Engineering, Revenue Technology, Automation Engineering, Solutions Engineering, or related technical disciplines. If you build internal tools and automations that teams rely on, we’d love to hear from you — even if your title hasn’t been “BI Engineer.”
  • 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.
  • DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 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 (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
  • To learn more about our benefits, visit our careers page here (https://careers.doordash.com/).
  • 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).
  • The national base pay range for this position within the United States, including Illinois and Colorado.
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