Marketing Operations and Analytics Manager, San Francisco at Profound

Profound

San Francisco·6h ago

ManagerFull-timePythonData ScienceAIML

Salary Range

$108,800 - $147,200 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Marketing Operations and Analytics Manager to join our team at Profound. This role will be responsible for building the analytics infrastructure that powers data-driven decision-making across the marketing organization.

Key Responsibilities

→Design, build, and own a multi-touch attribution framework across the entire customer journey
→Develop sophisticated analytics models including cohort analysis, LTV modeling, and channel incrementality testing
→Build and maintain executive-level dashboards and reporting frameworks
→Drive experimentation rigor by designing testing frameworks and analyzing holdout tests
→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 and scoring models
→Partner with GTM Engineering on data infrastructure projects
→Establish data governance standards for marketing systems
→Build operational excellence within the marketing organization
→Serve as the analytics thought partner to the marketing team
→Lead cross-functional analytics initiatives
→Identify opportunities for operational leverage and efficiency gains

Requirements

✓Analytics-first mindset with deep fluency in marketing analytics, attribution modeling, and statistical methods
✓5 to 7 or more years of experience in marketing operations and analytics roles at B2B SaaS companies
✓Expert-level proficiency with marketing and analytics platforms including Salesforce, Clay, HubSpot, Google Analytics, Looker, Tableau, Segment
✓Strong track record partnering with Revenue Operations and GTM Engineering teams
✓Ownership mentality with experience independently owning complex cross-functional projects
✓Strong communicator who can present complex analytical findings to non-technical stakeholders
✓Comfortable thriving in fast-paced startup environments
✓Experience with incrementality testing, econometric modeling, or data science
✓Background in AI or ML companies or category-creation environments