Marketing Operations & Analytics Manager, AI Simulation

SandboxAQ is a high-growth company delivering AI solutions powered by Large Quantitative Models across life sciences, financial services, navigation, cybersecurity, and other sectors. The Marketing Operations & Analytics Manager will build and own the AI Simulation division’s marketing operations and measurement function, including the martech stack, attribution, lifecycle programs, analytics, and reporting. The role will partner with Marketing, RevOps, Sales, Finance, and Product to turn marketing data into trusted business intelligence and guide investment decisions.

Responsibilities:

• Architect and evolve the martech stack: evaluate, select, implement, and optimize the tools required for marketing automation, data management, measurement, and BI; own the roadmap, integrations, vendor relationships, and reporting infrastructure
• Instrument campaigns and programs across the funnel and develop attribution models that connect marketing activity to pipeline, revenue, and ROI
• Build and maintain reporting that ranges from individual campaign performance to cross-channel and full-funnel views, enabling Marketing and cross-functional leadership to make data-driven investment decisions
• Build, test, and continuously improve nurture and lifecycle programs, including segmentation, triggers, lead scoring, and A/B testing
• Establish data hygiene standards, governance processes, and reliable integrations between marketing systems and Salesforce, while partnering with RevOps, Sales, Finance, and Product on shared definitions and measurement

Requirements:

• • 4–7 years of experience in marketing operations, marketing analytics, RevOps, demand generation operations, or a related function, with hands-on ownership of reporting and campaign infrastructure
• Bachelor's degree in Marketing, Communications, Business, or a related field, or equivalent practical experience
• • Hands-on Salesforce and marketing automation experience, including campaign structures, reporting, lifecycle management, and platforms such as Marketo, HubSpot, or Pardot
• • Demonstrated experience building or improving multi-touch attribution, funnel measurement, lead scoring, pipeline reporting, and lead-to-revenue processes
• • Proven ability to build in a greenfield or highly ambiguous environment, taking ownership from strategy through implementation rather than simply defining requirements
• • Strong cross-functional communication skills, with the ability to translate go-to-market questions into clear metrics, reporting, and actionable recommendations for Marketing, RevOps, Sales, Finance, and Product
• • Experience using SQL to query, join, and analyze data across multiple sources
• • Basic Python or scripting experience for automation, data wrangling, or workflow optimization
• • Experience standing up or significantly evolving a BI platform such as Tableau, Looker, or Power BI and/or a data warehouse such as Snowflake or BigQuery
• • Experience in B2B, enterprise, SaaS, or deep-tech marketing, particularly in complex or technical buying environments
• • Demonstrated use of AI tools and automation to accelerate analysis, connect disparate data sources, improve workflows, and reduce manual marketing operations work