Profound · 3 months ago
Marketing Operations and Analytics Manager
United States
Full-time
Remote
Senior Level
$150K/yr - $190K/yr
5+ years expProfound is on a mission to help companies understand and control their AI presence. As the Marketing Operations and Analytics Manager, you will design and implement the marketing measurement and attribution framework, enabling data-driven decision-making across the marketing organization.
AnalyticsArtificial Intelligence (AI)SEO
Responsibilities
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
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
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
Qualification
Required
5–7+ years in marketing operations and analytics roles at B2B SaaS companies
Experience building attribution frameworks and analytics infrastructure from the ground up or scaling them significantly
Expert-level proficiency with marketing and analytics platforms (Salesforce, Clay, HubSpot, Google Analytics/GA4, Looker, Tableau, Segment, etc.)
Ability to build complex models in SQL, Python, or R
Strong communication skills to present complex analytical findings to non-technical stakeholders
Experience partnering with Revenue Operations and GTM Engineering teams
Ownership mentality with the ability to independently own complex cross-functional projects
Ability to translate technical findings into executive-ready insights
Ability to thrive in fast-paced environments and work effectively across technical and operational functions
Preferred
Experience with incrementality testing, econometric modeling, or data science
Background in AI/ML companies or category-creation environments
Benefits
Equity
Full suite of benefits and perks
Company
Profound
Profound is an AI visibility and content optimization platform that that helps brands optimize their visibility in generative AI search.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$58.5MKey Investors
Sequoia CapitalKleiner PerkinsSaga Ventures
2025-08-12Series B· $35M
2025-06-18Series A· $20M
2024-08-13Seed· $3.5M
Leadership Team
James Cadwallader
Co-Founder, CEO
Dylan Babbs
Co-founder, CTO
Recent News
Company data provided by crunchbase