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SandboxAQ

AI and quantum security solutions

Marketing Operations & Analytics Manager - AI Simulation

Growth & MarketingConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • 4–7 years of experience in marketing operations, marketing analytics, Revenue Operations, demand generation operations, or a related function, with hands-on ownership of reporting and campaign infrastructure.
  • A 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.
  • Ability to translate go-to-market questions into clear metrics, reporting, and actionable recommendations for Marketing, Revenue Operations, Sales, Finance, and Product.

Responsibilities

  • Architect and evolve the marketing technology stack by evaluating, selecting, implementing, and optimizing tools for marketing automation, data management, measurement, and business intelligence; 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 return on investment.
  • Build and maintain reporting 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, partnering with Revenue Operations, Sales, Finance, and Product on shared definitions and measurement.

Desired Qualifications

  • 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 business intelligence 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.

About the Company

SandboxAQ

AI and quantum security solutions

SandboxAQ helps organizations prepare for the impact of quantum computing by combining artificial intelligence and quantum technologies. Its offerings include crypto-agile security, quantum sensing, and quantum simulation and optimization, delivered as services and solutions to global clients. The company works with leading professional services firms to help clients implement AQ solutions, and it also engages in research fellowships and hiring for PhD and post-doc roles. Unlike others that only develop hardware or software, SandboxAQ emphasizes enabling enterprises and even nations to gain a competitive edge before scalable, fault-tolerant quantum computers are widely available, and to bridge the global digital divide through practical, implementable solutions. Its business model centers on providing services and solutions, monetized through client engagements and partnerships with professional services firms.

Company size
201-500
Company stage
Grant
Total funding
$1.6B
Headquarters
Palo Alto, CA
Founded
2021

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