Senior Paid Search Specialist

Full Funnel Growth

2d•Remote

About The Position

Full Funnel Growth is a remote performance marketing agency serving medical aesthetics device manufacturers, DTC eCommerce brands, regulated retail businesses, service-business lead generation, and B2B SaaS. The agency manages accounts in USD, CAD, EUR, and AUD, with some accounts under its MCC and others accessed directly. Strategy and execution are handled by the same person for each account. The agency is hiring a part-time contract Senior Paid Search Specialist to lead strategy and execution for three to five accounts at a time, with monthly spend ranging from $1,000 to $40,000 per account across Google Ads and Microsoft Ads. The role includes recurring performance reporting, client communication, campaign management, cross-platform attribution analysis, and proactively identifying growth opportunities. The agency operates AI-natively, using Claude Code and custom skills, Python scripts that connect directly to advertising and analytics APIs, and a reporting protocol requiring exact numbers and clearly labeled claims. The specialist is expected to build and use technical workflows—not simply prompt an AI tool—and communicate campaign strategy clearly to clients and senior stakeholders. The engagement is remote, with U.S. candidates preferred for timezone overlap, and begins with a paid two-week working trial on one account.

Requirements

At least 5 years of agency experience managing paid search, including at least one role independently owning client relationships.
Strong command of Google Ads, including Search, Shopping, Performance Max, and Demand Gen, as well as Microsoft Ads.
Fluency in Smart Bidding.
Demonstrated experience managing both lead-generation and eCommerce campaigns.
Comfort with attribution complexity, including GA4, platform-reported conversions, and cross-source reconciliation.
Familiarity with post-click measurement tools such as Triple Whale, Northbeam, or similar.
A track record of remote work and strong written communication.
Ability to work with Python and advertising APIs, parse JSON, run GAQL queries, and use a terminal, or experience pairing with Claude Code or Cursor to ship real automations.
Daily workflow experience with Claude Code, Cursor, or a comparable agentic tool, used to ship work rather than only answer questions.
Ability to explain paid-search platform behavior and strategy in clear language to clients and senior stakeholders.
Disciplined analytical writing, with exact numbers and clear labeling of extracted, inferred, or assumed claims.

Nice To Haves

Deep experience in medical aesthetics, Shopify-based DTC eCommerce, regulated retail such as cannabis or alcohol, or B2B SaaS.
Comfort with Looker Studio or willingness to take over dashboards built in it.
Experience managing accounts in currencies other than USD, including CAD, EUR, or AUD.
Paid social literacy in Meta or LinkedIn as a complementary skill.
Google Ads certification.

Responsibilities

Own strategy and execution for three to five accounts across Google Ads and Microsoft Ads, with account spend ranging from $1,000 to $40,000 per month.
Prepare weekly per-account performance write-ups in the agency's .docx format and monthly client-ready summaries.
Conduct ad hoc deep dives when campaigns encounter problems or opportunities arise.
Communicate directly with clients through written updates, scheduled review calls, and occasional strategy presentations to senior stakeholders.
Manage campaigns end to end, including account structure, Smart Bidding strategy and target calibration, Performance Max asset groups and signal feeding, search-term mining, negative lists, ad copy, feed audits, and landing-page feedback.
Reconcile attribution differences between tools such as Triple Whale and GA4, determine a defensible working figure, and explain it in reports.
Proactively identify opportunities across accounts, including branded-budget opportunities, Performance Max channel shifts, Demand Gen tests, and geographic or bidding migrations.
Use or build AI-enabled and technical workflows, including Python scripts, API integrations, JSON parsing, and GAQL queries.
Explain Smart Bidding and Performance Max behavior, including when to override bidding and how platform signals affect delivery.
Keep current on platform-level AI changes and form account-specific recommendations based on account maturity.
Label substantive analytical claims as extracted, inferred, or assumed; report exact numbers and flag missing data rather than estimating.