Marketing Operations & Analytics Manager (AI Simulation)

Join SandboxAQ, a pioneering company at the forefront of AI-powered simulation. As the Marketing Operations & Analytics Manager, you will play a crucial role in shaping the marketing measurement and operations function from the ground up. You will be responsible for architecting and evolving the martech stack, developing attribution models, building and maintaining reporting, and establishing data hygiene standards. This is a unique opportunity to make a significant impact in a fast-growing company.

Responsibilities

• Architect and evolve the martech stack, including evaluating, selecting, implementing, and optimizing tools for marketing automation, data management, measurement, and BI.
• 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.
• 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.
• Hands-on Salesforce and marketing automation experience, including campaign structures, reporting, lifecycle management, and platforms such as Marketo, HubSpot, or Pardot

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
• 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
• 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
• 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 in B2B, enterprise, SaaS, or deep-tech marketing, particularly in complex or technical buying environments
• 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

Preferred

• Demonstrated use of AI tools and automation to accelerate analysis, connect disparate data sources, improve workflows, and reduce manual marketing operations work

Pay

USD 121,600 - 228,000