SEM Manager

Responsibilities

• Own a product vertical (for example, Formations, Compliance, Consumer, or IP) or campaign group end to end: account structure, value-based bidding governance, negatives and guardrails, testing roadmap, and quarterly plan.
• Decide bid and budget shifts within your group's guardrails; recommend reallocation across campaigns and changes to guardrails; escalate cross-group changes with a clear proposal.
• Monitor cannibalization and interaction effects between Search, Performance Max, and AI-driven campaign types within your scope; propose structural fixes.
• Own team routines for your vertical—your section of the weekly business review, account hygiene, and pacing.
• Design experiments with a stated hypothesis, power, and holdout; read results beyond platform metrics and translate them into decisions.
• Build and own a pacing and forecast model for your vertical; know its error and improve it.
• Understand LTV and revenue for your vertical and how value-based bidding signals map to them; recommend signal and target changes when the economics shift.
• Analyze from click through revenue to diagnose root causes and recommend reallocation with quantified impact.
• Ship reusable AI-enabled workflows or agents—for research, optimization, QA, or reporting—that others on the team rely on; own their QA, documentation, and maintenance.
• Evaluate agent outputs for data quality, privacy, and compliance before they inform spend decisions; retire or repair what stops earning its place.

Requirements

• Typically 6+ years of hands-on paid search experience, including end-to-end ownership of a campaign group or vertical, or equivalent depth of relevant experience.
• Experience managing $1M+ in annual paid search spend with end-to-end accountability, in-house or at an agency.
• Recent hands-on-keys experience with Google Ads and Microsoft Advertising, including Performance Max and value-based or smart bidding at scale.
• Demonstrated experiment design and readout skills—hypothesis, power, holdout, and interpretation beyond platform metrics.
• Experience building and owning a pacing or forecast model.
• Working knowledge of LTV-based optimization and how bidding signals connect to unit economics.
• Demonstrated ability to build AI-enabled workflows or agents that others depend on, with rigorous QA and documentation—from work or self-directed projects.
• Strong SQL (or equivalent) and Excel; clear written and verbal communication with functional leaders.
• Remote employees should confirm that the internet service available has adequate bandwidth to support all work processes.

Preferred

• Experience with cross-channel cannibalization or incrementality analysis.
• Experience with AI-native search surfaces (AI Overviews, conversational search, AEO/GEO).
• Bachelor's degree in a quantitative or marketing field, or equivalent experience.

Benefits

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Paid Time Off
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• Short-Term/Long-Term Disability Insurance
• Plus other wellness benefits to include:
• ○ Fertility
• ○ Mental Health
• ○ One Medical