Marketing Operations & Analytics Manager (AI Simulation)

• The AI Simulation (AISim) division at SandboxAQ is redefining what’s possible at the frontiers of science through AI-powered simulation
• Our AQChemSim and AQBioSim businesses apply quantitative AI and scientific computing to complex challenges across biopharma, chemicals, advanced materials, energy, and beyond
• The AISim Marketing team brings the same quantitative rigor to go-to-market, building the systems, programs, and insights that enable the business to scale
• This role will sit within Marketing while partnering across the broader company to establish a best-in-class marketing operations and analytics foundation
• The AISim Marketing team are looking for a Marketing Operations & Analytics Manager to join our team
• In this role, you will be responsible for building our marketing measurement and operations function from the ground up
• This is a rare greenfield opportunity to shape how SandboxAQ measures marketing performance, connects marketing activity to pipeline and revenue, and uses data to make better investment decisions
• You will own the strategy and execution across our martech stack, marketing analytics, attribution, lifecycle programs, and reporting infrastructure
• Working closely with Marketing, RevOps, Sales, Finance, and Product, you will create the systems and insights that turn marketing data into trusted business intelligence
• 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

Benefits

• Stock options
• Unlimated vacation (PTO) and flexible work culture
• Company-wide winter and summer breaks to unwind
• Best-in-class health plans: Medical, dental and orthodontics, and vision
• Family planning and fertility benefits
• Military leave
• 100% paid parental leave
• 401k with company matching
• Education stipends
• Financial wellness resources- 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
• 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
• 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
• Demonstrated use of AI tools and automation to accelerate analysis, connect disparate data sources, improve workflows, and reduce manual marketing operations work