Marketing Operations and Analytics Manager, San Francisco

Profound•San Francisco, CA

4d•$150,000 - $190,000•Onsite

About The Position

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.

Requirements

Analytics-first mindset with deep fluency in marketing analytics, attribution modeling, and statistical methods, and the 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, with 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, and comfort working directly with data warehouses and BI systems
Strong track record partnering with Revenue Operations and GTM Engineering teams and 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

Nice To Haves

Experience with incrementality testing, econometric modeling, or data science, and background in AI or ML companies or category-creation environments

Responsibilities

Design, build, and own a multi-touch attribution framework across the entire customer journey, from first touch through closed-won revenue, enabling accurate channel ROI analysis and budget optimization
Develop sophisticated analytics models including cohort analysis, LTV modeling, channel incrementality testing, and support marketing investment decisions
Build and maintain executive-level dashboards and reporting frameworks that surface leading and lagging indicators such as pipeline velocity, conversion rates by segment, CAC payback periods, and full-funnel attribution
Drive experimentation rigor by designing testing frameworks, establishing statistical significance thresholds, analyzing holdout tests, and translating results into actionable strategic recommendations
Partner with leadership to establish and track north star metrics, OKRs, and performance benchmarks aligned to business objectives
Own the marketing technology stack strategy and optimization, working closely with Revenue Operations and GTM Engineering teams to ensure seamless integration, data flow, and system performance across marketing automation, analytics platforms, and lead management tools
Collaborate with Revenue Operations to refine lead lifecycle definitions, scoring models, and routing logic, providing the marketing analytics perspective on funnel optimization and conversion analysis
Partner with GTM Engineering on data infrastructure projects, ensuring marketing events and attribution touchpoints are properly instrumented and flowing into the data warehouse
Establish data governance standards for marketing systems and serve as the bridge between Marketing, RevOps, and Data teams to ensure clean, consistent attribution data
Build operational excellence within the marketing organization through process documentation, campaign QA frameworks, and continuous improvement initiatives that scale with the business
Serve as the analytics thought partner to the marketing team, translating data into strategic narratives that drive resource allocation, campaign planning, and channel mix optimization
Lead cross-functional analytics initiatives in partnership with Revenue Operations on unified funnel reporting and with Product teams on product-led growth measurement
Identify opportunities for operational leverage and efficiency gains across the marketing organization