Marketing Operations and Analytics Manager, San Francisco

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.

• 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

• 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

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

This is an on-site role based in our SoMa, SF office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $150,000 to $190,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.