[Hiring] Growth Marketing Manager @ThirdLove

Role Description

Paid Search, display, and video are central to how we acquire customers across the full funnel. As the Growth Marketing Manager for Paid Search & Display, you will:

• Set the strategy, manage the platforms and partners, direct AI tools for execution, and bring the analytical rigor that these channels require.
• Collaborate with cross-functional teams on how we improve performance beyond the ad itself, connecting channel signals to the full customer journey.

What You Will Own And How You Will Make A Difference

• Own strategy across Google, Display, and CTV.
• Set the channel strategy for all these platforms including account and campaign architecture, funnel coverage, and budget allocation across each platform.
• Own budget pacing across all channels; make real-time reallocation decisions based on performance signals.
• Lead incrementality test design for search, display, and CTV channels in coordination with our measurement stack.
• Contribute channel-level commentary to weekly cross-channel performance reporting.
• Stay ahead of platform and product changes across all four channels — Smart Bidding updates, search evolution, DSP feature releases, and measurement developments.
• Manage platform and agency relationships.
• Serve as the primary point of contact for all platform and agency relationships.
• Manage day-to-day communication and performance accountability with external partners on your channels.
• Evaluate partner and vendor performance against clear outcomes; own the relationship and the decisions that come with it.
• Consolidate institutional knowledge internally so that performance insights and channel history live with the team, not outside it.
• Direct, evaluate, and push back on AI and automation tools.
• Oversee and direct AI execution tools for bid management, audience optimization, pacing, and creative performance with curiosity about what they can do and healthy skepticism about when they are not working.
• Interrogate automated optimization outputs: understand what the tool is doing, why it is making those decisions, and whether the logic actually serves the strategy.
• Push back when AI-recommended actions do not hold up to scrutiny; override confidently and document what you learned.
• Set guardrails, test protocols, and performance benchmarks that hold AI tools accountable to real outcomes, not just internal optimization metrics.
• Lead AI tool evaluation with an analytical eye; you define the test and interpret the results.
• Partner on creative strategy and landing page testing.
• Work closely with key stakeholders on creative brief direction — bring the performance signal and channel hypothesis to inform what gets made and why.
• Contribute channel-informed hypotheses to our landing page and site testing process — your performance data is a key input into how we optimize the post-click experience.
• Collaborate on landing page testing by providing performance data and hypotheses on where the post-click experience is limiting paid efficiency.
• Participate in creative QA before launch and contribute to post-launch performance interpretation.

Qualifications

• 5–7 years of hands-on experience in paid search and display at scale (six-figure monthly budgets or above) in fashion and/or apparel e-commerce industries.
• Deep working knowledge of Google Ads — campaign structure, Smart Bidding, Performance Max, search term management, Quality Score, product feed management and attribution settings.
• Strong analytical fluency: you can build a performance narrative from raw data, not just pull a report.
• Experience with or working knowledge of programmatic channels — DSP mechanics, deal types (PMP, open auction), brand safety, and audience targeting.
• Experience managing or coordinating external agency or vendor relationships, with accountability for their performance outcomes.
• Cross-functional instincts: you have worked with creative teams, data teams, site teams, and external partners and found ways to move forward even when priorities differ.
• An evaluative relationship with AI and automation tools — genuinely interested in their potential and willing to champion them, but equally willing to question the output, stress-test the logic, and push back when the results do not add up.

Bonus if you have

• CTV channel experience — MNTN or other CTV/OTT platforms.
• Experience managing or directing AI execution tools for paid channel execution.
• Familiarity with MMM, MTA, or incrementality testing methodologies.
• In-house DTC or e-commerce experience where you owned your channels with direct business accountability.

Benefits

• Competitive salary + equity.
• Medical/Dental/Vision insurance.
• Paid parental leave.
• Flex time off.
• Discounted and free products.

Compensation

95-120K annual base compensation.