Marketing Operations and Analytics Manager

Profound is on a mission to help companies understand and control their AI presence. We're creating a new category at the intersection of AI, search, and brand visibility, and we're building both the platform and the story behind it. As our Marketing Operations and Analytics Manager, you'll 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.

Attribution & Analytics

• Design, build, and own our 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 supporting marketing investment decisions

• Build and maintain executive-level dashboards and reporting frameworks that surface leading and lagging indicators: pipeline velocity, conversion rates by segment, CAC payback periods, and full-funnel attribution

• Drive experimentation rigor: design testing frameworks, establish statistical significance thresholds, analyze holdout tests, and translate results into actionable strategic recommendations

• Partner with leadership to establish and track north star metrics, OKRs, and performance benchmarks that ladder up to business objectives

Marketing Operations & Cross-Functional Collaboration

• 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 org through process documentation, campaign QA frameworks, and continuous improvement initiatives that scale with the business

Strategic Partnership

• 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, partnering 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: You're deeply fluent in marketing analytics, attribution modeling, and statistical methods. You can build complex models in SQL, Python, or R and translate technical findings into executive-ready insights

• Proven track record: 5–7+ years 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

• Technical depth: Expert-level proficiency with marketing and analytics platforms (Salesforce, Clay, HubSpot, Google Analytics/GA4, Looker, Tableau, Segment, etc.) and comfortable working directly with data warehouses and BI tools

• Collaborative operator: You've successfully partnered with Revenue Operations and GTM Engineering teams, understanding how to work effectively across technical and operational functions while maintaining focus on marketing-specific analytics and insights

• Ownership mentality: You've independently owned complex cross-functional projects, defined success metrics, and driven them to completion with stakeholders across multiple teams

• Strong communicator: You can present complex analytical findings to non-technical stakeholders and build consensus around data-driven decisions across Marketing, Sales, and RevOps

• Startup fluency: You thrive in fast-paced environments where you're building systems in real-time, comfortable with ambiguity, and energized by the opportunity to define best practices

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

For this role, the expected base salary range is $150,000 – $190,000. Profound's total compensation package includes base salary, equity, and a full suite of benefits and perks. Final compensation will depend on your skills, experience, qualifications, and location. Our recruiting team will share full details of the package as you progress through the hiring process.