Business Intelligence Engineer (GTM), In-Store Data & Analytics

About the Team The GTM Integrations & AI Infrastructure team builds the automation, integration, and AI-powered capabilities that sit on top of SevenRooms' commercial systems and data foundation across the DashOS business. Working across GTM Systems, Data & Analytics, Revenue Operations, and Strategy & Operations, the team eliminates operational friction, increases productivity, and accelerates business outcomes through intelligent workflows and internal products. Within the team, this role designs and deploys AI-powered workflows, systems integrations, and internal products that improve commercial productivity and operational efficiency across our Pre-Sales and Post-Sales organizations. We ship production AI systems that move our three north star metrics: Locations Signed, Total ARR, and Net Revenue Retention. About the Role 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. What Makes This Role Unique This is not a traditional BI, reporting, dashboarding, or analytics role. Success comes from building and deploying solutions that users actually adopt — not from producing reports or dashboards. We welcome candidates from Business Systems Engineering, Analytics Engineering, Revenue Technology, Automation Engineering, Internal Platform Development, and adjacent technical functions who are energized by shipping production systems that change how commercial teams work. You're excited about this opportunity because you will… Build and ship production AI agents and automations on Google Cloud Platform (BigQuery, Cloud Functions, Compute Engine, Secret Manager, Terraform, VertexAI) that directly touch the daily workflow of every AE, AM, and CSM at SevenRooms. 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 with frontline reps and CSMs as design partners — co-designing solutions, iterating in production, and driving real adoption rather than dashboards nobody opens. Collaborate cross-functionally with Revenue Operations (RevOps), Strategy & Operations, Product, Enablement, Customer Success, Sales, and FP&A to surface the right problems and build solutions that stick. Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every engineer on the team faster at deploying AI. Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales. We're excited about you because… 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.” 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. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. Compensation range: $98,600 – $145,000 USD. Benefits Summary DoorDash offers 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. Additional benefits include medical, dental, and vision coverage, 11 paid holidays, disability and basic life insurance, family‑forming assistance, and a mental health program. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement 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. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtle forms of inappropriate behavior from ever gaining a foothold. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce — people who identify as women, non‑binary or gender non‑conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently‑abled, caretakers and parents, and veterans are strongly encouraged to apply. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for inbound from August 21, 2023 through December 21, 2023. We resumed using Covey Scout for inbound again on June 29, 2024, and ceased using Covey Scout for inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here. #J-18808-Ljbffr Doordashusa