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Profound is on a mission to help companies understand and control their AI presence. We are creating a new category at the intersection of AI, search, and brand visibility, and we are building both the platform and the story behind it. As our Marketing Operations and Analytics Manager, you will be the strategic architect of our marketing measurement and attribution framework, building the analytics infrastructure that powers data-driven decision-making across the marketing organization.
Job Responsibility:
Design, build, and own a multi-touch attribution framework across the entire customer journey
Partner with leadership to establish and track north star metrics, OKRs, and performance benchmarks
Own the marketing technology stack strategy and optimization
Collaborate with Revenue Operations to refine lead lifecycle definitions, scoring models, and routing logic
Partner with GTM Engineering on data infrastructure projects
Establish data governance standards for marketing systems
Build operational excellence within the marketing organization through process documentation, campaign QA frameworks
Serve as the analytics thought partner to the marketing team
Lead cross-functional analytics initiatives in partnership with Revenue Operations and Product teams
Identify opportunities for operational leverage and efficiency gains across the marketing organization
Requirements:
Analytics-first mindset with deep fluency in marketing analytics, attribution modeling, and statistical methods
Ability to build complex models in SQL, Python, or R and translate findings into executive-ready insights
5 to 7 or more years of experience in marketing operations and analytics roles at B2B SaaS companies
Demonstrated experience building attribution frameworks and analytics infrastructure from the ground up or scaling them significantly
Expert-level proficiency with marketing and analytics platforms including Salesforce, Clay, HubSpot, Google Analytics or GA4, Looker, Tableau, Segment, and similar tools
Comfort working directly with data warehouses and BI systems
Strong track record partnering with Revenue Operations and GTM Engineering teams
Experience working effectively across technical and operational functions while maintaining focus on marketing analytics and insights
Ownership mentality with experience independently owning complex cross-functional projects, defining success metrics, and driving them to completion with stakeholders across multiple teams
Strong communicator who can present complex analytical findings to non-technical stakeholders and build consensus around data-driven decisions across Marketing, Sales, and RevOps
Comfortable thriving in fast-paced startup environments, building systems in real time, operating under ambiguity, and defining best practices
Experience with incrementality testing, econometric modeling, or data science
Background in AI or ML companies or category-creation environments