About the RoleWe're hiring a BI GTM Engineer to help build the AI-powered workflows and proprietary internal tools that help SevenRooms' Pre-Sales and Post-Sales team 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 pair with our Senior GTM Engineer to ship two to three high-leverage AI workflows from the prioritized backlog (examples: automated pre-call research, deal intelligence summaries, P&P Wizard automation), while contributing to our shared AI developer infrastructure that makes the entire D&A team faster.
You will report into the Manager, Data & Analytics on our Data & Analytics team in our In-Store organization.
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 Operation), 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 D&A engineer and analyst 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.
- 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.
CompensationThe 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.
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 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.
$98,600-$145,000 USD
