Marketing Operations & Analytics Manager, AI Simulation

SandboxAQ

5d • $121,600 - $228,000

About The Position

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.

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.

Nice To Haves

• 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.

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.

Benefits

• Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
• Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
• Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree