Jobs at DoorLoop

Own and expand DoorLoop’s data platform across modeling, ingestion, semantic layers, reliability, and financial reconciliation. Partner with business leaders to define metrics, build dashboards and AI data products, and establish engineering standards. Lead dbt development, warehouse optimization, monitoring, incident response, code review, and analyst mentorship. The role requires strong SQL, Python, Snowflake, dbt, pipeline engineering, stakeholder communication, and practical experience building trustworthy AI-enabled data products.

Lead full-cycle recruiting for senior and executive Go-To-Market roles across Sales, Marketing, Customer Success, and Revenue Operations. Partner with executives and hiring managers, identify passive candidates using AI-driven sourcing tools, improve recruiting processes, build talent pipelines, assess candidates, and support onboarding. The role also involves employer branding, recruiting analytics, DEI initiatives, and mentoring or contributing to scalable recruitment programs in a high-growth, remote SaaS environment.

Own end-to-end product design for high-priority SaaS features, from user research and prototyping through launch, measurement, and iteration. Collaborate with product, engineering, and QA teams; apply and extend the design system; define edge cases, interactions, copy, and responsive behavior; review shipped work; and contribute through critiques, mentoring, and design-system improvements. This is a six-month maternity leave cover requiring rapid ramp-up and strong product ownership.

Owns go-to-market analytics across Marketing, Sales, and Revenue Operations, covering the full funnel from acquisition through revenue. Builds dashboards and analytical solutions, identifies performance drivers and growth opportunities, conducts deep-dive analyses, and translates complex data into actionable recommendations for senior leaders. Partners with RevOps, Finance, Marketing Operations, and Data Engineering to improve measurement and data quality while using AI tools to accelerate analysis and automation.

Own the full sales cycle for high-volume SMB SaaS sales, from inbound and outbound prospecting through discovery, one-call demos, negotiation, and close. Manage Salesforce pipeline accuracy, forecasting, follow-up, and daily activity targets while maintaining short 1–5 day sales cycles. Collaborate with enablement and leadership to improve messaging and sales performance. The role requires 1–3 years of high-volume sales experience, preferably in SaaS or technology.