Revenue Technology – Data Strategy & Operations Lead

🕒 Fevereiro 17

🏄 California, New York, +1 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote 🌲 Oregon – Remote

💵 $142.600 - $178.200 / ano

⏰ Tempo Integral

🟠 Sênior

⚙️ Operações

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Mercury

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2019

💳 Fintech

💸 Finanças

☁️ SaaS

Fintech • Finance • SaaS

A Mercury é uma empresa de tecnologia financeira que oferece serviços de banco online para empresas, embora não seja um banco em si. Ela faz parcerias com bancos segurados pelo FDIC, como Choice Financial Group, Column N. A. e Evolve Bank & Trust para oferecer serviços bancários. A Mercury tem como objetivo simplificar as operações financeiras para startups e empresas, oferecendo uma gama de serviços que inclui contas correntes e de poupança, gestão de tesouraria, cartões corporativos, gestão de despesas, faturamento e automações contábeis. A plataforma é projetada para otimizar várias tarefas bancárias e aprimorar os fluxos financeiros com recursos como monitoramento contra fraudes e segurança de contas. Também oferece oportunidades de investimento através do seu produto Mercury Treasury e suporte a startups através de sua plataforma Mercury Raise.

Descrição

• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems) • Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows • Design and evolve core GTM data models across Salesforce, ETL, and analytics layers • Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers • Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates • Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity • Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms • Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations • Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead • Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

🎯 Requisitos

• 7+ years of experience in data engineering or data systems roles within SaaS or technology companies • Deep experience designing and operating production data pipelines • Proficient in SQL and experienced in data modeling • Hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift) • Experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar) • Understand Salesforce data models and common GTM system architectures • Ability to translate business concepts into durable, well-structured data models • Clear communication with both technical and non-technical partners. • Preferred: Experience supporting revenue, sales, or customer lifecycle data • Familiarity with event-based data platforms (e.g., Data Cloud or equivalents) • Experience working alongside platform engineering and security teams • Exposure to data governance, access controls, and compliance considerations • Experience mentoring or guiding other data practitioners

🏖️ Benefícios

• Base salary • Equity • Benefits