Marketing Operations & Analytics Manager, AI Simulation

🕒 September 14

🇺🇸 United States – Remote

💵 $121.6k - $228k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SandboxAQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

💊 Pharmaceuticals

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

📋 Description

• Build the marketing measurement and operations function from the ground up • Architect and evolve the martech stack, including evaluating, selecting, implementing, and optimizing tools • Own the martech roadmap, integrations, vendor relationships, and reporting infrastructure • Instrument campaigns and programs across the funnel • Develop attribution models connecting marketing activity to pipeline, revenue, and ROI • Build and maintain campaign, cross-channel, and full-funnel reporting • Enable Marketing and cross-functional leadership to make data-driven investment decisions • Build, test, and continuously improve nurture and lifecycle programs • Manage segmentation, triggers, lead scoring, and A/B testing • Establish data hygiene standards and governance processes • Maintain reliable integrations between marketing systems and Salesforce • Partner with RevOps, Sales, Finance, and Product on shared definitions and measurement • 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 • 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, and lifecycle management • Experience with platforms such as Marketo, HubSpot, or Pardot • Experience building or improving multi-touch attribution, funnel measurement, lead scoring, pipeline reporting, and lead-to-revenue processes • Ability to build in a greenfield or highly ambiguous environment, owning work from strategy through implementation • Strong cross-functional communication skills and ability to translate go-to-market questions into metrics, reporting, and actionable recommendations • SQL experience is highly desired • Basic Python or scripting experience is highly desired • Experience with Tableau, Looker, Power BI, Snowflake, or BigQuery is highly desired • Experience in B2B, enterprise, SaaS, or deep-tech marketing is highly desired • Demonstrated use of AI tools and automation is highly desired • Candidates must not be currently bound by foreign talent programs sponsored by China, Russia, Iran, or North Korea • Must be legally authorized to work in the United States • Must answer whether company sponsorship or support is required to obtain or maintain a work visa or permit

🏖️ Benefits

• Competitive base salary • Performance-based incentives or bonuses (where applicable) • 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 • Inclusive family-building benefits • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements • On-the-job development • Cross-functional collaboration • Access to internal learning and development programs